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Explore Kits
Build your own analytics web or mobile application with open-source libraries, packages, source code, etc. With the right coding assets, you can implement features in your app, such as tracking page views, custom events, and identifying visitors. These days, the analytics requirements of an organization can change based on evolving business needs. And a well-implemented and trained machine learning (ML) analytics application can quickly and accurately spot actionable trends in your data.

Even if you are a beginner, there are numerous open-source data analytics resources that will help you learn and build practical apps. Libraries like Theano, Chainer, Apache Spark, etc., offer the best quality data analytics stacks. You can begin by searching on kandi, where you can find the best code libraries in data analytics and numerous other trending topics.

Popular New Releases in Analytics

d3

grafana

8.5.0 (2022-04-21)

superset

superset-helm-chart-0.6.0

AdminLTE

AdminLTE v3.2.0

incubator-superset

0.38.0

d3

grafana

8.5.0 (2022-04-21)

superset

superset-helm-chart-0.6.0

AdminLTE

AdminLTE v3.2.0

incubator-superset

0.38.0

Popular Libraries in Analytics

d3

by d3 javascript

star image 100859 ISC

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

grafana

by grafana typescript

star image 48159 AGPL-3.0

The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

superset

by apache typescript

star image 45746 Apache-2.0

Apache Superset is a Data Visualization and Data Exploration Platform

AdminLTE

by ColorlibHQ javascript

star image 40777 MIT

AdminLTE - Free admin dashboard template based on Bootstrap 4

incubator-superset

by apache python

star image 31662 Apache-2.0

Apache Superset is a Data Visualization and Data Exploration Platform

sheetjs

by SheetJS javascript

star image 29318 Apache-2.0

:green_book: SheetJS Community Edition -- Spreadsheet Data Toolkit

drawio

by jgraph javascript

star image 28629 Apache-2.0

Source to app.diagrams.net

influxdb

by influxdata go

star image 23344 MIT

Scalable datastore for metrics, events, and real-time analytics

ngx-admin

by akveo typescript

star image 22994 MIT

Customizable admin dashboard template based on Angular 10+

d3

by d3 javascript

star image 100859 ISC

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

grafana

by grafana typescript

star image 48159 AGPL-3.0

The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

superset

by apache typescript

star image 45746 Apache-2.0

Apache Superset is a Data Visualization and Data Exploration Platform

AdminLTE

by ColorlibHQ javascript

star image 40777 MIT

AdminLTE - Free admin dashboard template based on Bootstrap 4

incubator-superset

by apache python

star image 31662 Apache-2.0

Apache Superset is a Data Visualization and Data Exploration Platform

sheetjs

by SheetJS javascript

star image 29318 Apache-2.0

:green_book: SheetJS Community Edition -- Spreadsheet Data Toolkit

drawio

by jgraph javascript

star image 28629 Apache-2.0

Source to app.diagrams.net

influxdb

by influxdata go

star image 23344 MIT

Scalable datastore for metrics, events, and real-time analytics

ngx-admin

by akveo typescript

star image 22994 MIT

Customizable admin dashboard template based on Angular 10+

Trending New libraries in Analytics

appsmith

by appsmithorg typescript

star image 15181 Apache-2.0

Low code project to build admin panels, internal tools, and dashboards. Integrates with 15+ databases and any API.

umami

by mikecao javascript

star image 10334 MIT

Umami is a simple, fast, privacy-focused alternative to Google Analytics.

Luckysheet

by mengshukeji javascript

star image 10320 MIT

Luckysheet is an online spreadsheet like excel that is powerful, simple to configure, and completely open source.

posthog

by PostHog typescript

star image 7597 NOASSERTION

🦔 PostHog provides open-source product analytics that you can self-host.

dataease

by dataease java

star image 5595 GPL-3.0

人人可用的开源数据可视化分析工具。

web-vitals

by GoogleChrome javascript

star image 4729 Apache-2.0

Essential metrics for a healthy site.

charts.css

by ChartsCSS html

star image 4388 MIT

Open source CSS framework for data visualization.

city-roads

by anvaka javascript

star image 3941 MIT

Visualization of all roads within any city

lux

by lux-org python

star image 3417 Apache-2.0

Automatically visualize your pandas dataframe via a single print! 📊 💡

appsmith

by appsmithorg typescript

star image 15181 Apache-2.0

Low code project to build admin panels, internal tools, and dashboards. Integrates with 15+ databases and any API.

umami

by mikecao javascript

star image 10334 MIT

Umami is a simple, fast, privacy-focused alternative to Google Analytics.

Luckysheet

by mengshukeji javascript

star image 10320 MIT

Luckysheet is an online spreadsheet like excel that is powerful, simple to configure, and completely open source.

posthog

by PostHog typescript

star image 7597 NOASSERTION

🦔 PostHog provides open-source product analytics that you can self-host.

dataease

by dataease java

star image 5595 GPL-3.0

人人可用的开源数据可视化分析工具。

web-vitals

by GoogleChrome javascript

star image 4729 Apache-2.0

Essential metrics for a healthy site.

charts.css

by ChartsCSS html

star image 4388 MIT

Open source CSS framework for data visualization.

city-roads

by anvaka javascript

star image 3941 MIT

Visualization of all roads within any city

lux

by lux-org python

star image 3417 Apache-2.0

Automatically visualize your pandas dataframe via a single print! 📊 💡

Top Authors in Analytics

1

cran

191 Libraries

769

2

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13735

3

ropensci

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6811

4

PacktPublishing

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1292

5

plotly

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42930

6

rstudio

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13689

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app-generator

50 Libraries

1943

8

hrbrmstr

44 Libraries

3597

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bcgov

43 Libraries

478

10

grafana

41 Libraries

69835

1

191 Libraries

769

2

75 Libraries

13735

3

73 Libraries

6811

4

69 Libraries

1292

5

61 Libraries

42930

6

57 Libraries

13689

7

50 Libraries

1943

8

44 Libraries

3597

9

43 Libraries

478

10

41 Libraries

69835

Trending Kits in Analytics

With this kit, you can

1. Use a pre-trained model for detecting fake news.

2. Train the model on your custom dataset.

3. Expose the fake news detection as an API


Add-on on examples are also included as given below

1. Use web scraper to automatically make your training dataset.

2. Visualise training and prediction data for useful insights.

Instructions to Run

Follow the below instructions to run the solution.


1. Locate and open the FakeNewsDetection-starter.ipynb notebook from the Jupyter Notebook browser window.

2. Execute cells in the notebook by selecting Cell --> Run All from Menu bar

3. Once all the cells of the notebook are executed, the prediction result will be written to the file 'fake_news_test_output.csv'


Training with your dataset:

1. Add news articles to a csv file under a column name 'news_text'.

2. Add corresponding labels as 'real' or 'fake' denoting whether a news article is real or not.

3. You can refer to the file 'fake_news_train.csv' for an example.

4. Set the variable for training file in the notebook under Variables section.


Testing with your dataset:

1. Add news articles to a csv file under a column name 'news_text'.

2. You can refer to the file 'fake_news_test.csv' for an example.

3. Set the variable for testing file in the notebook under Variables section.


You can execute the cells of notebook by selecting Cell from the menu bar.


For any support, you can reach us at FAQ & Support

Libraries useful for this solution

Development Environment

VSCode and Jupyter Notebook are used for development and debugging. Jupyter Notebook is a web based interactive environment often used for experiments, whereas VSCode is used to get a typical experience of IDE for developers. Jupyter Notebook is used for our development.

Exploratory Data Analysis

For extensive analysis and exploration of data, and to deal with arrays, these libraries are used. They are also used for performing scientific computation and data manipulation.

Text mining

Libraries in this group are used for analysis and processing of unstructured natural language. The data, as in its original form aren't used as it has to go through processing pipeline to become suitable for applying machine learning techniques and algorithms.

Machine Learning

Machine learning libraries and frameworks here are helpful in providing state-of-the-art solutions using Machine learning.

Data Visualization

The patterns and relationships are identified by representing data visually and below libraries are used for generating visual plots of the data.

Troubleshooting

1. If you encounter any error related to MS Visual C++, please install MS Visual Build tools

2.While running batch file, if you encounter Windows protection alert, select More info --> Run anyway.

3.During kit installer, if you encounter Windows security alert, click Allow.

4. If you encounter Memory Error, check if the available memory is sufficient and it is proportion to the size of the data being used. For our dataset, the minimum required memory is 8GB.


If your computer doesn't support standard commands from windows 10, you can follow the instructions below to finish the kit installation.

1. Click here to install python

2. Click here to download the repository

3. Extract the zip file and navigate to the directory 'fakenews-detection-main'

4. Open terminal in the extracted directory 'fakenews-detection-main'

5. Install dependencies by executing the command 'pip install -r requirements.txt'

6. Run the command ‘jupyter notebook’ and select the notebook ‘FakeNewsdetection-starter.ipynb’ on the browser window.

Support

For any support, you can reach us at FAQ & Support

kandi

1-Click Install

The use case of AI Course Recommender System is to provide personalized recommendation to the user based on their interest, course they can take and their current knowledge. This system will be able to recommend course based on user’s interest, current knowledge, analytical view of students’ performance in mathematics and recommends if a student can consider math subject for his/ her higher education. The recommended course will be based on the information of user’s profile, analysis of grades of students, visualization of patterns, prediction of grade in final test, and some rules that were set by their instructor. Using machine learning algorithms, we can train our model on a set of data and then predict the ratings for new items. This is all done in Python using numpy, pandas, matplotlib, scikit-learn and seaborn. kandi kit provides you with a fully deployable AI Course Recommender System. Source code included so that you can customize it for your requirement.

Development Environment

VSCode and Jupyter Notebook are used for development and debugging. Jupyter Notebook is a web based interactive environment often used for experiments, whereas VSCode is used to get a typical experience of IDE for developers.

Data Mining

Our solution integrates data from various sources, and we have used below libraries for exploring patterns in these data and understanding correlation between the features.

Data Visualisation

The patterns and relationships are identified by representing data visually and below libraries are used.

Machine learning

Below libraries and model collections helps to create the machine learning models for the core prediction of use case in our solution.

This kit is created for Impact of COVID 19 on the mental health of students by team Phoenix

Development Environment

Library related to development and debugging environment

Machine Learning (overall implementation)

Library for using Machine Learning algorithm

Data Manipulation

Libraries for data manipulation

Data Visualization

Libraries for data visualization

Student well beings help us to predict mental disorder and parent satisfaction based on the the students information. Both are binary classification problem and we used to solved by traditional machine learning algorithms. This is the project from Team Neuron Fire.

Development Environment

We used Jupyter Notebooks by developing and debugging. Jupyter Notebook is a web based interactive environment often used for experiments.

Data Mining

We used pandas and numpy for Data Mining.

Data Visualizations

We used matplotlib and seaborn python libraries for data visualizations.

Machine learning

We used Sklearn python libraries for binary classification problem solve.

We are Team HungryHacks trying to solve food insecurity issues using Data Science and AI.

Group Name 1

Data Preprocessing

Group Name 2

Data Exploration and Visualization

Group Name 6

Front-end Development

Group Name 5

GITHUB Repo

Development Environment

Vs code : used to write python scripts for data preprocessing and deployment jupyter notebook : used for data analysis and model training streamlit : used for model deployment and web app creation heroku : used for deployment of our web app to make it accessible globally

Data Mining

numpy : used for computational mathematics Pandas : used for loading data and Exploratory data analysis

Data Visualization

Machine Learning

Sklearn : used for training our ML models and evaluation joblib : used to store and load our ML model

Build WIth AI 2021 Challenge 2 Kit Submission

Machine Learning

Libraries used for voice activity detection(VAD), embedding extraction and spectral embedding clustering.

Audio Processing

Libraries used for importing, converting, exporting, playing, and processing audio.

User Interface

Libraries used for user interface.

Miscellaneous

Other libraries used.

Build interactive applications with 2D and 3D animations, animated elements, elegant UI effects, immersive experiences, data visualization, and more using Python animation libraries.


Python animation libraries are extremely useful in creating elaborate and graphical data visualization through a variety of animations such as Linear Graphs, Bar Plot Races, Scatter Plots, Horizontal and Vertical Movements in Bar Charts, Brownian Motion, Dynamic Axes, and more. It’s important to note that Python itself cannot create animation. Therefore, an external animation framework or library needs to be integrated into the program to pass a sequence of image frames and create a movement effect, i.e., animation.


Check out the below list to find the trending Python animation libraries for your data visualization applications:


Matplotlib animation library is the most popular one for plotting and data visualization in Python. It is used for creating 2-D plotting that can be embedded directly into applications.


The Plotly library provides more than 40 unique chart types for creating web-based data visualizations that can be displayed in Jupyter notebooks or web applications. 


Based on Matplotlib, the Seaborn library offers a wide range of dataset-oriented plotting and visualization functions for creating attractive statistical graphics in Python.

AI Doctor

IDE ENV AI Doctor

Libraries for Development Environment

EDA

Libraries needed for exploratory data analysis and visualization

Modelling

Libraries needed for building models

Group Name 4

The haunting images of Afghans falling off a US evacuation plane, and babies handed across barbed wires to strangers in search of hope, foretell another humanitarian crisis unfolding. Afghanistan is the third-largest source-nation for refugees, with Syria and Venezuela leading the list.

The United Nations High Commission for Refugees (UNHCR) currently estimates 82.4 million forcibly displaced people around the world, including internally displaced persons, stateless individuals, and refugees. Given the Covid situation leading to border closings, resettlement has also been impacted.

Refugees face tremendous challenges in the places they leave and very likely will face significant hurdles in their resettlement or return. Technology, especially the open source ecosystem, has been doing its bit to alleviate the challenges faced by the refugees. With the kandi kit for Refugee Support Solutions, we have showcased the best open source and public libraries that help across multiple facets of understanding and resettling refugees. The critical use cases that we found in these popular libraries were visualizing the global refugee situation from published data sources like governments and the UNHCR and open source intelligence sources such as Twitter feeds and google trends. The use cases also covered asylum processing and social integration through information sharing and rehabilitation, mentoring, medical and legal support. In addition, we found use cases across aid management.

While individually, their impact might be minimal, this kit represents strong potential for technology for good. Do share and contribute to the common cause through technology or other means.

Understand and Visualize the Refugee Crisis

The below libraries help visualize the refugee crisis from UNHCR, the press, government data as well as data from Twitter, Google trends and visualization tools for human resettlement.

Asylum Processing and Social Integration

Use the below libraries for implementing use cases in asylum processing, multilingual communication, and information sharing.

Refugee Rehabilitation

The below libraries implement use cases to help refugees seek work, mentoring, training, legal and medical support.

Refugee Aid Management

Use the below libraries for managing aid workflows across requests, tracking, and fulfillment.

A dashboard allows you to combine data visualizations onto a single page so that you can quickly see what is happening in your project, process, or business. Build interactive dashboards, data visualizations, custom reports and more. Python Dashboards are visual representations of your data. You can use them in real-time to track the performance of your business and make decisions quickly. They can be customized and filtered according to your needs. Popular open source libraries include: Redash - designed to enable anyone, regardless of the level of technical sophistication, to harness the power of data big and small. SQL users leverage Redash to explore, query, visualize, and share data from any data sources.; Plotly.py - plotly.py is an interactive, open-source, and browser-based graphing library for Pytho; Panel - highlevel app and dashboarding solution for Python. The following is a comprehensive list of the best open source libraries.

Visualizing data as interactive charts is extremely easy using charting libraries based on JavaScript. These free and open-source code components employ HTML5 <canvas> element to create different chart types, including time series, bar chart, lines, bars, etc. This makes it yield good performance even when working with large data sets. The code packages are easily integrable with popular JavaScript animation frameworks like Angular, React, PHP, JQuery, Rails, and more, making it possible to create a chart with real-time data and animations. In addition, downward compatibility with outdated browsers is also achievable with polyfills. Listed below are some of the most popular open-source libraries for charting in 2021. We highly recommend Chart.js - Simple HTML5 Charts using the canvas tag; D3 (or D3.js) is a JavaScript library for visualizing data using web standards; Plotly.js is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly.

Solution helps to pickup audio speakers

Video Analytics lib

Web frameworks

For advanced visualization of data in Jupyter Notebooks

DATA

VISUAL ANALYTICS

ML

Data Analysis

Machine Learning

ML Analysis

Data Visualization

Build interactive data visualizations, dashboards, custom reports and more in Ruby. Get ratings, code snippets & documentation for each library.

Data Analysis

Data Plot

Data Analysis

Visualization

Machine Learning

With this kit, you can

1. Use a pre-trained model for detecting fake news.

2. Train the model on your custom dataset.

3. Expose the fake news detection as an API


Add-on on examples are also included as given below

1. Use web scraper to automatically make your training dataset.

2. Visualise training and prediction data for useful insights.

Instructions to Run

Follow the below instructions to run the solution.


1. Locate and open the FakeNewsDetection-starter.ipynb notebook from the Jupyter Notebook browser window.

2. Execute cells in the notebook by selecting Cell --> Run All from Menu bar

3. Once all the cells of the notebook are executed, the prediction result will be written to the file 'fake_news_test_output.csv'


Training with your dataset:

1. Add news articles to a csv file under a column name 'news_text'.

2. Add corresponding labels as 'real' or 'fake' denoting whether a news article is real or not.

3. You can refer to the file 'fake_news_train.csv' for an example.

4. Set the variable for training file in the notebook under Variables section.


Testing with your dataset:

1. Add news articles to a csv file under a column name 'news_text'.

2. You can refer to the file 'fake_news_test.csv' for an example.

3. Set the variable for testing file in the notebook under Variables section.


You can execute the cells of notebook by selecting Cell from the menu bar.


For any support, you can reach us at FAQ & Support

Libraries useful for this solution

Development Environment

VSCode and Jupyter Notebook are used for development and debugging. Jupyter Notebook is a web based interactive environment often used for experiments, whereas VSCode is used to get a typical experience of IDE for developers. Jupyter Notebook is used for our development.

Exploratory Data Analysis

For extensive analysis and exploration of data, and to deal with arrays, these libraries are used. They are also used for performing scientific computation and data manipulation.

Text mining

Libraries in this group are used for analysis and processing of unstructured natural language. The data, as in its original form aren't used as it has to go through processing pipeline to become suitable for applying machine learning techniques and algorithms.

Machine Learning

Machine learning libraries and frameworks here are helpful in providing state-of-the-art solutions using Machine learning.

Data Visualization

The patterns and relationships are identified by representing data visually and below libraries are used for generating visual plots of the data.

Troubleshooting

1. If you encounter any error related to MS Visual C++, please install MS Visual Build tools

2.While running batch file, if you encounter Windows protection alert, select More info --> Run anyway.

3.During kit installer, if you encounter Windows security alert, click Allow.

4. If you encounter Memory Error, check if the available memory is sufficient and it is proportion to the size of the data being used. For our dataset, the minimum required memory is 8GB.


If your computer doesn't support standard commands from windows 10, you can follow the instructions below to finish the kit installation.

1. Click here to install python

2. Click here to download the repository

3. Extract the zip file and navigate to the directory 'fakenews-detection-main'

4. Open terminal in the extracted directory 'fakenews-detection-main'

5. Install dependencies by executing the command 'pip install -r requirements.txt'

6. Run the command ‘jupyter notebook’ and select the notebook ‘FakeNewsdetection-starter.ipynb’ on the browser window.

Support

For any support, you can reach us at FAQ & Support

kandi

1-Click Install

The use case of AI Course Recommender System is to provide personalized recommendation to the user based on their interest, course they can take and their current knowledge. This system will be able to recommend course based on user’s interest, current knowledge, analytical view of students’ performance in mathematics and recommends if a student can consider math subject for his/ her higher education. The recommended course will be based on the information of user’s profile, analysis of grades of students, visualization of patterns, prediction of grade in final test, and some rules that were set by their instructor. Using machine learning algorithms, we can train our model on a set of data and then predict the ratings for new items. This is all done in Python using numpy, pandas, matplotlib, scikit-learn and seaborn. kandi kit provides you with a fully deployable AI Course Recommender System. Source code included so that you can customize it for your requirement.

Development Environment

VSCode and Jupyter Notebook are used for development and debugging. Jupyter Notebook is a web based interactive environment often used for experiments, whereas VSCode is used to get a typical experience of IDE for developers.

Data Mining

Our solution integrates data from various sources, and we have used below libraries for exploring patterns in these data and understanding correlation between the features.

Data Visualisation

The patterns and relationships are identified by representing data visually and below libraries are used.

Machine learning

Below libraries and model collections helps to create the machine learning models for the core prediction of use case in our solution.

This kit is created for Impact of COVID 19 on the mental health of students by team Phoenix

Development Environment

Library related to development and debugging environment

Machine Learning (overall implementation)

Library for using Machine Learning algorithm

Data Manipulation

Libraries for data manipulation

Data Visualization

Libraries for data visualization

Student well beings help us to predict mental disorder and parent satisfaction based on the the students information. Both are binary classification problem and we used to solved by traditional machine learning algorithms. This is the project from Team Neuron Fire.

Development Environment

We used Jupyter Notebooks by developing and debugging. Jupyter Notebook is a web based interactive environment often used for experiments.

Data Mining

We used pandas and numpy for Data Mining.

Data Visualizations

We used matplotlib and seaborn python libraries for data visualizations.

Machine learning

We used Sklearn python libraries for binary classification problem solve.

We are Team HungryHacks trying to solve food insecurity issues using Data Science and AI.

Group Name 1

Data Preprocessing

Group Name 2

Data Exploration and Visualization

Group Name 6

Front-end Development

Group Name 5

GITHUB Repo

Development Environment

Vs code : used to write python scripts for data preprocessing and deployment jupyter notebook : used for data analysis and model training streamlit : used for model deployment and web app creation heroku : used for deployment of our web app to make it accessible globally

Data Mining

numpy : used for computational mathematics Pandas : used for loading data and Exploratory data analysis

Data Visualization

Machine Learning

Sklearn : used for training our ML models and evaluation joblib : used to store and load our ML model

Build WIth AI 2021 Challenge 2 Kit Submission

Machine Learning

Libraries used for voice activity detection(VAD), embedding extraction and spectral embedding clustering.

Audio Processing

Libraries used for importing, converting, exporting, playing, and processing audio.

User Interface

Libraries used for user interface.

Miscellaneous

Other libraries used.

Build interactive applications with 2D and 3D animations, animated elements, elegant UI effects, immersive experiences, data visualization, and more using Python animation libraries.


Python animation libraries are extremely useful in creating elaborate and graphical data visualization through a variety of animations such as Linear Graphs, Bar Plot Races, Scatter Plots, Horizontal and Vertical Movements in Bar Charts, Brownian Motion, Dynamic Axes, and more. It’s important to note that Python itself cannot create animation. Therefore, an external animation framework or library needs to be integrated into the program to pass a sequence of image frames and create a movement effect, i.e., animation.


Check out the below list to find the trending Python animation libraries for your data visualization applications:


Matplotlib animation library is the most popular one for plotting and data visualization in Python. It is used for creating 2-D plotting that can be embedded directly into applications.


The Plotly library provides more than 40 unique chart types for creating web-based data visualizations that can be displayed in Jupyter notebooks or web applications. 


Based on Matplotlib, the Seaborn library offers a wide range of dataset-oriented plotting and visualization functions for creating attractive statistical graphics in Python.

AI Doctor

IDE ENV AI Doctor

Libraries for Development Environment

EDA

Libraries needed for exploratory data analysis and visualization

Modelling

Libraries needed for building models

Group Name 4

The haunting images of Afghans falling off a US evacuation plane, and babies handed across barbed wires to strangers in search of hope, foretell another humanitarian crisis unfolding. Afghanistan is the third-largest source-nation for refugees, with Syria and Venezuela leading the list.

The United Nations High Commission for Refugees (UNHCR) currently estimates 82.4 million forcibly displaced people around the world, including internally displaced persons, stateless individuals, and refugees. Given the Covid situation leading to border closings, resettlement has also been impacted.

Refugees face tremendous challenges in the places they leave and very likely will face significant hurdles in their resettlement or return. Technology, especially the open source ecosystem, has been doing its bit to alleviate the challenges faced by the refugees. With the kandi kit for Refugee Support Solutions, we have showcased the best open source and public libraries that help across multiple facets of understanding and resettling refugees. The critical use cases that we found in these popular libraries were visualizing the global refugee situation from published data sources like governments and the UNHCR and open source intelligence sources such as Twitter feeds and google trends. The use cases also covered asylum processing and social integration through information sharing and rehabilitation, mentoring, medical and legal support. In addition, we found use cases across aid management.

While individually, their impact might be minimal, this kit represents strong potential for technology for good. Do share and contribute to the common cause through technology or other means.

Understand and Visualize the Refugee Crisis

The below libraries help visualize the refugee crisis from UNHCR, the press, government data as well as data from Twitter, Google trends and visualization tools for human resettlement.

Asylum Processing and Social Integration

Use the below libraries for implementing use cases in asylum processing, multilingual communication, and information sharing.

Refugee Rehabilitation

The below libraries implement use cases to help refugees seek work, mentoring, training, legal and medical support.

Refugee Aid Management

Use the below libraries for managing aid workflows across requests, tracking, and fulfillment.

A dashboard allows you to combine data visualizations onto a single page so that you can quickly see what is happening in your project, process, or business. Build interactive dashboards, data visualizations, custom reports and more. Python Dashboards are visual representations of your data. You can use them in real-time to track the performance of your business and make decisions quickly. They can be customized and filtered according to your needs. Popular open source libraries include: Redash - designed to enable anyone, regardless of the level of technical sophistication, to harness the power of data big and small. SQL users leverage Redash to explore, query, visualize, and share data from any data sources.; Plotly.py - plotly.py is an interactive, open-source, and browser-based graphing library for Pytho; Panel - highlevel app and dashboarding solution for Python. The following is a comprehensive list of the best open source libraries.

Visualizing data as interactive charts is extremely easy using charting libraries based on JavaScript. These free and open-source code components employ HTML5 <canvas> element to create different chart types, including time series, bar chart, lines, bars, etc. This makes it yield good performance even when working with large data sets. The code packages are easily integrable with popular JavaScript animation frameworks like Angular, React, PHP, JQuery, Rails, and more, making it possible to create a chart with real-time data and animations. In addition, downward compatibility with outdated browsers is also achievable with polyfills. Listed below are some of the most popular open-source libraries for charting in 2021. We highly recommend Chart.js - Simple HTML5 Charts using the canvas tag; D3 (or D3.js) is a JavaScript library for visualizing data using web standards; Plotly.js is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly.

Solution helps to pickup audio speakers

Video Analytics lib

Web frameworks

For advanced visualization of data in Jupyter Notebooks

DATA

VISUAL ANALYTICS

ML

Data Analysis

Machine Learning

ML Analysis

Data Visualization

Build interactive data visualizations, dashboards, custom reports and more in Ruby. Get ratings, code snippets & documentation for each library.

Trending Discussions on Analytics

    Xcode Archive failed with flutter plugins
    android:exported added but still getting error Apps targeting Android 12 and higher are required to specify an explicit value for android:exported
    Can't find variable: IDBIndex on firebase/react native(expo)
    Your project requires a newer version of the Kotlin Gradle plugin. (Android Studio)
    Create-React-App with TypeScript failing to compile after importing Semantic UI
    java.lang.NoSuchMethodError: No virtual method setSkipClientToken(Z)V in class Lcom/facebook/GraphRequest;
    Targeting S+ (version 31 and above) requires that one of FLAG_IMMUTABLE or FLAG_MUTABLE be specified when creating a PendingIntent, On AlarmPingSender
    Android Build Error: &quot;lStar not found...&quot;
    Could not resolve com.google.guava:guava:30.1-jre - Gradle project sync failed. Basic functionality will not work properly - in kotlin project
    Cannot find conda info. Please verify your conda installation on EMR

QUESTION

Xcode Archive failed with flutter plugins

Asked 2022-Mar-29 at 04:40

My flutter app run well, but when I try to upload the app to App Store by archive it: Xcode -> Product -> Archive
it failed and get two errors First one in flutter_inappwebview with following error message:

1CompileSwiftSources normal arm64 com.apple.xcode.tools.swift.compiler (in target 'flutter_inappwebview' from project 'Pods')
2    cd /Users/user1/StudioProjects/app/ios/Pods
3    export DEVELOPER_DIR\=/Applications/Xcode.app/Contents/Developer
4    export SDKROOT\=/Applications/Xcode.app/Contents/Developer/Platforms/iPhoneOS.platform/Developer/SDKs/iPhoneOS15.4.sdk
5    /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/swiftc -incremental -module-name flutter_inappwebview -O -whole-module-optimization -enforce-exclusivity\=checked @/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/Objects-normal/arm64/flutter_inappwebview.SwiftFileList -D COCOAPODS -sdk /Applications/Xcode.app/Contents/Developer/Platforms/iPhoneOS.platform/Developer/SDKs/iPhoneOS15.4.sdk -target arm64-apple-ios12.0 -g -module-cache-path /Users/user1/Library/Developer/Xcode/DerivedData/ModuleCache.noindex -Xfrontend -serialize-debugging-options -embed-bitcode -swift-version 5 -I /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/BuildProductsPath/Release-iphoneos/flutter_inappwebview -F /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/BuildProductsPath/Release-iphoneos/flutter_inappwebview -F /Users/user1/flutter/bin/cache/artifacts/engine/ios-release/Flutter.xcframework/ios-arm64_armv7 -F /Users/osamahhaitham/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/BuildProductsPath/Release-iphoneos/OrderedSet -c -num-threads 4 -output-file-map /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/Objects-normal/arm64/flutter_inappwebview-OutputFileMap.json -parseable-output -serialize-diagnostics -emit-dependencies -emit-module -emit-module-path /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/Objects-normal/arm64/flutter_inappwebview.swiftmodule -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/swift-overrides.hmap -Xcc -iquote -Xcc /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/flutter_inappwebview-generated-files.hmap -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/flutter_inappwebview-own-target-headers.hmap -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/flutter_inappwebview-all-non-framework-target-headers.hmap -Xcc -ivfsoverlay -Xcc /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/all-product-headers.yaml -Xcc -iquote -Xcc /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/flutter_inappwebview-project-headers.hmap -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/BuildProductsPath/Release-iphoneos/flutter_inappwebview/include -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/DerivedSources-normal/arm64 -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/DerivedSources/arm64 -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/DerivedSources -Xcc -DPOD_CONFIGURATION_RELEASE\=1 -Xcc -DCOCOAPODS\=1 -emit-objc-header -emit-objc-header-path /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/Objects-normal/arm64/flutter_inappwebview-Swift.h -import-underlying-module -Xcc -ivfsoverlay -Xcc /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/unextended-module-overlay.yaml -working-directory /Users/user1/StudioProjects/app/ios/Pods
6
7remark: Incremental compilation has been disabled: it is not compatible with whole module optimization
8Command CompileSwiftSources failed with a nonzero exit code
9

Second issue in DKImagePickerController

1CompileSwiftSources normal arm64 com.apple.xcode.tools.swift.compiler (in target 'flutter_inappwebview' from project 'Pods')
2    cd /Users/user1/StudioProjects/app/ios/Pods
3    export DEVELOPER_DIR\=/Applications/Xcode.app/Contents/Developer
4    export SDKROOT\=/Applications/Xcode.app/Contents/Developer/Platforms/iPhoneOS.platform/Developer/SDKs/iPhoneOS15.4.sdk
5    /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/swiftc -incremental -module-name flutter_inappwebview -O -whole-module-optimization -enforce-exclusivity\=checked @/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/Objects-normal/arm64/flutter_inappwebview.SwiftFileList -D COCOAPODS -sdk /Applications/Xcode.app/Contents/Developer/Platforms/iPhoneOS.platform/Developer/SDKs/iPhoneOS15.4.sdk -target arm64-apple-ios12.0 -g -module-cache-path /Users/user1/Library/Developer/Xcode/DerivedData/ModuleCache.noindex -Xfrontend -serialize-debugging-options -embed-bitcode -swift-version 5 -I /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/BuildProductsPath/Release-iphoneos/flutter_inappwebview -F /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/BuildProductsPath/Release-iphoneos/flutter_inappwebview -F /Users/user1/flutter/bin/cache/artifacts/engine/ios-release/Flutter.xcframework/ios-arm64_armv7 -F /Users/osamahhaitham/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/BuildProductsPath/Release-iphoneos/OrderedSet -c -num-threads 4 -output-file-map /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/Objects-normal/arm64/flutter_inappwebview-OutputFileMap.json -parseable-output -serialize-diagnostics -emit-dependencies -emit-module -emit-module-path /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/Objects-normal/arm64/flutter_inappwebview.swiftmodule -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/swift-overrides.hmap -Xcc -iquote -Xcc /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/flutter_inappwebview-generated-files.hmap -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/flutter_inappwebview-own-target-headers.hmap -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/flutter_inappwebview-all-non-framework-target-headers.hmap -Xcc -ivfsoverlay -Xcc /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/all-product-headers.yaml -Xcc -iquote -Xcc /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/flutter_inappwebview-project-headers.hmap -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/BuildProductsPath/Release-iphoneos/flutter_inappwebview/include -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/DerivedSources-normal/arm64 -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/DerivedSources/arm64 -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/DerivedSources -Xcc -DPOD_CONFIGURATION_RELEASE\=1 -Xcc -DCOCOAPODS\=1 -emit-objc-header -emit-objc-header-path /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/Objects-normal/arm64/flutter_inappwebview-Swift.h -import-underlying-module -Xcc -ivfsoverlay -Xcc /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/unextended-module-overlay.yaml -working-directory /Users/user1/StudioProjects/app/ios/Pods
6
7remark: Incremental compilation has been disabled: it is not compatible with whole module optimization
8Command CompileSwiftSources failed with a nonzero exit code
9SwiftCodeGeneration normal arm64 (in target 'DKImagePickerController' from project 'Pods')
10    cd /Users/user1/StudioProjects/app/ios/Pods
11    /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/swift-frontend -frontend -c -primary-file /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/DKImagePickerController.build/Objects-normal/arm64/DKPopoverViewController.bc -embed-bitcode -target arm64-apple-ios9.0 -Xllvm -aarch64-use-tbi -O -disable-llvm-optzns -module-name DKImagePickerController -o /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/DKImagePickerController.build/Objects-normal/arm64/DKPopoverViewController.o
12
13LLVM ERROR: out of memory
14Allocation failed
15Please submit a bug report (https://swift.org/contributing/#reporting-bugs) and include the project and the crash backtrace.
16Stack dump:
170.  Program arguments: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/swift-frontend -frontend -c -primary-file /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/DKImagePickerController.build/Objects-normal/arm64/DKPopoverViewController.bc -embed-bitcode -target arm64-apple-ios9.0 -Xllvm -aarch64-use-tbi -O -disable-llvm-optzns -module-name DKImagePickerController -o /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/DKImagePickerController.build/Objects-normal/arm64/DKPopoverViewController.o
181.  Apple Swift version 5.6 (swiftlang-5.6.0.323.62 clang-1316.0.20.8)
192.  Compiling with the current language version
203.  Running pass 'Function Pass Manager' on module '/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/DKImagePickerController.build/Objects-normal/arm64/DKPopoverViewController.bc'.
214.  Running pass 'ObjC ARC contraction' on function '@UI_USER_INTERFACE_IDIOM'
22Stack dump without symbol names (ensure you have llvm-symbolizer in your PATH or set the environment var `LLVM_SYMBOLIZER_PATH` to point to it):
230  swift-frontend           0x000000010fa19de7 llvm::sys::PrintStackTrace(llvm::raw_ostream&amp;, int) + 39
241  swift-frontend           0x000000010fa18e38 llvm::sys::RunSignalHandlers() + 248
252  swift-frontend           0x000000010fa1a440 SignalHandler(int) + 288
263  libsystem_platform.dylib 0x00007ff81c319dfd _sigtramp + 29
274  libsystem_malloc.dylib   0x00007ff81c137abb _malloc_zone_malloc + 125
285  libsystem_c.dylib        0x00007ff81c24fd24 abort + 123
296  swift-frontend           0x000000010f966cda llvm::report_bad_alloc_error(char const*, bool) + 106
307  swift-frontend           0x000000010f966cf2 out_of_memory_new_handler() + 18
318  libc++abi.dylib          0x00007ff81c2c196b operator new(unsigned long) + 43
329  swift-frontend           0x000000010f727efd llvm::Function::BuildLazyArguments() const + 77
3310 swift-frontend           0x000000010d510e87 llvm::objcarc::BundledRetainClaimRVs::insertRVCallWithColors(llvm::Instruction*, llvm::CallBase*, llvm::DenseMap&lt;llvm::BasicBlock*, llvm::TinyPtrVector&lt;llvm::BasicBlock*&gt;, llvm::DenseMapInfo&lt;llvm::BasicBlock*&gt;, llvm::detail::DenseMapPair&lt;llvm::BasicBlock*, llvm::TinyPtrVector&lt;llvm::BasicBlock*&gt; &gt; &gt; const&amp;) + 151
3411 swift-frontend           0x000000010d523f88 (anonymous namespace)::ObjCARCContract::run(llvm::Function&amp;, llvm::AAResults*, llvm::DominatorTree*) + 1384
3512 swift-frontend           0x000000010f75f380 llvm::FPPassManager::runOnFunction(llvm::Function&amp;) + 1488
3613 swift-frontend           0x000000010f766073 llvm::FPPassManager::runOnModule(llvm::Module&amp;) + 67
3714 swift-frontend           0x000000010f75fb39 llvm::legacy::PassManagerImpl::run(llvm::Module&amp;) + 1161
3815 swift-frontend           0x000000010ac7d6df swift::performLLVMOptimizations(swift::IRGenOptions const&amp;, llvm::Module*, llvm::TargetMachine*) + 3791
3916 swift-frontend           0x000000010ac7e8cc swift::performLLVM(swift::IRGenOptions const&amp;, swift::DiagnosticEngine&amp;, llvm::sys::SmartMutex&lt;false&gt;*, llvm::GlobalVariable*, llvm::Module*, llvm::TargetMachine*, llvm::StringRef, swift::UnifiedStatsReporter*) + 2812
4017 swift-frontend           0x000000010ac87aa5 swift::performLLVM(swift::IRGenOptions const&amp;, swift::ASTContext&amp;, llvm::Module*, llvm::StringRef) + 213
4118 swift-frontend           0x000000010a742795 swift::performFrontend(llvm::ArrayRef&lt;char const*&gt;, char const*, void*, swift::FrontendObserver*) + 16565
4219 swift-frontend           0x000000010a7015d4 swift::mainEntry(int, char const**) + 1108
4320 dyld                     0x000000011812c51e start + 462
44error: Abort trap: 6 (in target 'DKImagePickerController' from project 'Pods')
45

I did pod install & update, did many things but it did not helped How to fix this problem, thanks

Podfile

1CompileSwiftSources normal arm64 com.apple.xcode.tools.swift.compiler (in target 'flutter_inappwebview' from project 'Pods')
2    cd /Users/user1/StudioProjects/app/ios/Pods
3    export DEVELOPER_DIR\=/Applications/Xcode.app/Contents/Developer
4    export SDKROOT\=/Applications/Xcode.app/Contents/Developer/Platforms/iPhoneOS.platform/Developer/SDKs/iPhoneOS15.4.sdk
5    /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/swiftc -incremental -module-name flutter_inappwebview -O -whole-module-optimization -enforce-exclusivity\=checked @/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/Objects-normal/arm64/flutter_inappwebview.SwiftFileList -D COCOAPODS -sdk /Applications/Xcode.app/Contents/Developer/Platforms/iPhoneOS.platform/Developer/SDKs/iPhoneOS15.4.sdk -target arm64-apple-ios12.0 -g -module-cache-path /Users/user1/Library/Developer/Xcode/DerivedData/ModuleCache.noindex -Xfrontend -serialize-debugging-options -embed-bitcode -swift-version 5 -I /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/BuildProductsPath/Release-iphoneos/flutter_inappwebview -F /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/BuildProductsPath/Release-iphoneos/flutter_inappwebview -F /Users/user1/flutter/bin/cache/artifacts/engine/ios-release/Flutter.xcframework/ios-arm64_armv7 -F /Users/osamahhaitham/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/BuildProductsPath/Release-iphoneos/OrderedSet -c -num-threads 4 -output-file-map /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/Objects-normal/arm64/flutter_inappwebview-OutputFileMap.json -parseable-output -serialize-diagnostics -emit-dependencies -emit-module -emit-module-path /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/Objects-normal/arm64/flutter_inappwebview.swiftmodule -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/swift-overrides.hmap -Xcc -iquote -Xcc /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/flutter_inappwebview-generated-files.hmap -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/flutter_inappwebview-own-target-headers.hmap -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/flutter_inappwebview-all-non-framework-target-headers.hmap -Xcc -ivfsoverlay -Xcc /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/all-product-headers.yaml -Xcc -iquote -Xcc /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/flutter_inappwebview-project-headers.hmap -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/BuildProductsPath/Release-iphoneos/flutter_inappwebview/include -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/DerivedSources-normal/arm64 -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/DerivedSources/arm64 -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/DerivedSources -Xcc -DPOD_CONFIGURATION_RELEASE\=1 -Xcc -DCOCOAPODS\=1 -emit-objc-header -emit-objc-header-path /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/Objects-normal/arm64/flutter_inappwebview-Swift.h -import-underlying-module -Xcc -ivfsoverlay -Xcc /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/unextended-module-overlay.yaml -working-directory /Users/user1/StudioProjects/app/ios/Pods
6
7remark: Incremental compilation has been disabled: it is not compatible with whole module optimization
8Command CompileSwiftSources failed with a nonzero exit code
9SwiftCodeGeneration normal arm64 (in target 'DKImagePickerController' from project 'Pods')
10    cd /Users/user1/StudioProjects/app/ios/Pods
11    /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/swift-frontend -frontend -c -primary-file /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/DKImagePickerController.build/Objects-normal/arm64/DKPopoverViewController.bc -embed-bitcode -target arm64-apple-ios9.0 -Xllvm -aarch64-use-tbi -O -disable-llvm-optzns -module-name DKImagePickerController -o /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/DKImagePickerController.build/Objects-normal/arm64/DKPopoverViewController.o
12
13LLVM ERROR: out of memory
14Allocation failed
15Please submit a bug report (https://swift.org/contributing/#reporting-bugs) and include the project and the crash backtrace.
16Stack dump:
170.  Program arguments: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/swift-frontend -frontend -c -primary-file /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/DKImagePickerController.build/Objects-normal/arm64/DKPopoverViewController.bc -embed-bitcode -target arm64-apple-ios9.0 -Xllvm -aarch64-use-tbi -O -disable-llvm-optzns -module-name DKImagePickerController -o /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/DKImagePickerController.build/Objects-normal/arm64/DKPopoverViewController.o
181.  Apple Swift version 5.6 (swiftlang-5.6.0.323.62 clang-1316.0.20.8)
192.  Compiling with the current language version
203.  Running pass 'Function Pass Manager' on module '/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/DKImagePickerController.build/Objects-normal/arm64/DKPopoverViewController.bc'.
214.  Running pass 'ObjC ARC contraction' on function '@UI_USER_INTERFACE_IDIOM'
22Stack dump without symbol names (ensure you have llvm-symbolizer in your PATH or set the environment var `LLVM_SYMBOLIZER_PATH` to point to it):
230  swift-frontend           0x000000010fa19de7 llvm::sys::PrintStackTrace(llvm::raw_ostream&amp;, int) + 39
241  swift-frontend           0x000000010fa18e38 llvm::sys::RunSignalHandlers() + 248
252  swift-frontend           0x000000010fa1a440 SignalHandler(int) + 288
263  libsystem_platform.dylib 0x00007ff81c319dfd _sigtramp + 29
274  libsystem_malloc.dylib   0x00007ff81c137abb _malloc_zone_malloc + 125
285  libsystem_c.dylib        0x00007ff81c24fd24 abort + 123
296  swift-frontend           0x000000010f966cda llvm::report_bad_alloc_error(char const*, bool) + 106
307  swift-frontend           0x000000010f966cf2 out_of_memory_new_handler() + 18
318  libc++abi.dylib          0x00007ff81c2c196b operator new(unsigned long) + 43
329  swift-frontend           0x000000010f727efd llvm::Function::BuildLazyArguments() const + 77
3310 swift-frontend           0x000000010d510e87 llvm::objcarc::BundledRetainClaimRVs::insertRVCallWithColors(llvm::Instruction*, llvm::CallBase*, llvm::DenseMap&lt;llvm::BasicBlock*, llvm::TinyPtrVector&lt;llvm::BasicBlock*&gt;, llvm::DenseMapInfo&lt;llvm::BasicBlock*&gt;, llvm::detail::DenseMapPair&lt;llvm::BasicBlock*, llvm::TinyPtrVector&lt;llvm::BasicBlock*&gt; &gt; &gt; const&amp;) + 151
3411 swift-frontend           0x000000010d523f88 (anonymous namespace)::ObjCARCContract::run(llvm::Function&amp;, llvm::AAResults*, llvm::DominatorTree*) + 1384
3512 swift-frontend           0x000000010f75f380 llvm::FPPassManager::runOnFunction(llvm::Function&amp;) + 1488
3613 swift-frontend           0x000000010f766073 llvm::FPPassManager::runOnModule(llvm::Module&amp;) + 67
3714 swift-frontend           0x000000010f75fb39 llvm::legacy::PassManagerImpl::run(llvm::Module&amp;) + 1161
3815 swift-frontend           0x000000010ac7d6df swift::performLLVMOptimizations(swift::IRGenOptions const&amp;, llvm::Module*, llvm::TargetMachine*) + 3791
3916 swift-frontend           0x000000010ac7e8cc swift::performLLVM(swift::IRGenOptions const&amp;, swift::DiagnosticEngine&amp;, llvm::sys::SmartMutex&lt;false&gt;*, llvm::GlobalVariable*, llvm::Module*, llvm::TargetMachine*, llvm::StringRef, swift::UnifiedStatsReporter*) + 2812
4017 swift-frontend           0x000000010ac87aa5 swift::performLLVM(swift::IRGenOptions const&amp;, swift::ASTContext&amp;, llvm::Module*, llvm::StringRef) + 213
4118 swift-frontend           0x000000010a742795 swift::performFrontend(llvm::ArrayRef&lt;char const*&gt;, char const*, void*, swift::FrontendObserver*) + 16565
4219 swift-frontend           0x000000010a7015d4 swift::mainEntry(int, char const**) + 1108
4320 dyld                     0x000000011812c51e start + 462
44error: Abort trap: 6 (in target 'DKImagePickerController' from project 'Pods')
45# Uncomment this line to define a global platform for your project
46platform :ios, '12.0'
47
48# CocoaPods analytics sends network stats synchronously affecting flutter build latency.
49ENV['COCOAPODS_DISABLE_STATS'] = 'true'
50
51project 'Runner', {
52  'Debug' =&gt; :debug,
53  'Profile' =&gt; :release,
54  'Release' =&gt; :release,
55}
56
57def flutter_root
58  generated_xcode_build_settings_path = File.expand_path(File.join('..', 'Flutter', 'Generated.xcconfig'), __FILE__)
59  unless File.exist?(generated_xcode_build_settings_path)
60    raise &quot;#{generated_xcode_build_settings_path} must exist. If you're running pod install manually, make sure flutter pub get is executed first&quot;
61  end
62
63  File.foreach(generated_xcode_build_settings_path) do |line|
64    matches = line.match(/FLUTTER_ROOT\=(.*)/)
65    return matches[1].strip if matches
66  end
67  raise &quot;FLUTTER_ROOT not found in #{generated_xcode_build_settings_path}. Try deleting Generated.xcconfig, then run flutter pub get&quot;
68end
69
70require File.expand_path(File.join('packages', 'flutter_tools', 'bin', 'podhelper'), flutter_root)
71
72flutter_ios_podfile_setup
73
74target 'Runner' do
75  use_frameworks!
76  use_modular_headers!
77
78  flutter_install_all_ios_pods File.dirname(File.realpath(__FILE__))
79end
80
81post_install do |installer|
82  installer.pods_project.targets.each do |target|
83    flutter_additional_ios_build_settings(target)
84  end
85end
86

pubspec.yaml

1CompileSwiftSources normal arm64 com.apple.xcode.tools.swift.compiler (in target 'flutter_inappwebview' from project 'Pods')
2    cd /Users/user1/StudioProjects/app/ios/Pods
3    export DEVELOPER_DIR\=/Applications/Xcode.app/Contents/Developer
4    export SDKROOT\=/Applications/Xcode.app/Contents/Developer/Platforms/iPhoneOS.platform/Developer/SDKs/iPhoneOS15.4.sdk
5    /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/swiftc -incremental -module-name flutter_inappwebview -O -whole-module-optimization -enforce-exclusivity\=checked @/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/Objects-normal/arm64/flutter_inappwebview.SwiftFileList -D COCOAPODS -sdk /Applications/Xcode.app/Contents/Developer/Platforms/iPhoneOS.platform/Developer/SDKs/iPhoneOS15.4.sdk -target arm64-apple-ios12.0 -g -module-cache-path /Users/user1/Library/Developer/Xcode/DerivedData/ModuleCache.noindex -Xfrontend -serialize-debugging-options -embed-bitcode -swift-version 5 -I /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/BuildProductsPath/Release-iphoneos/flutter_inappwebview -F /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/BuildProductsPath/Release-iphoneos/flutter_inappwebview -F /Users/user1/flutter/bin/cache/artifacts/engine/ios-release/Flutter.xcframework/ios-arm64_armv7 -F /Users/osamahhaitham/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/BuildProductsPath/Release-iphoneos/OrderedSet -c -num-threads 4 -output-file-map /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/Objects-normal/arm64/flutter_inappwebview-OutputFileMap.json -parseable-output -serialize-diagnostics -emit-dependencies -emit-module -emit-module-path /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/Objects-normal/arm64/flutter_inappwebview.swiftmodule -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/swift-overrides.hmap -Xcc -iquote -Xcc /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/flutter_inappwebview-generated-files.hmap -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/flutter_inappwebview-own-target-headers.hmap -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/flutter_inappwebview-all-non-framework-target-headers.hmap -Xcc -ivfsoverlay -Xcc /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/all-product-headers.yaml -Xcc -iquote -Xcc /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/flutter_inappwebview-project-headers.hmap -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/BuildProductsPath/Release-iphoneos/flutter_inappwebview/include -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/DerivedSources-normal/arm64 -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/DerivedSources/arm64 -Xcc -I/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/DerivedSources -Xcc -DPOD_CONFIGURATION_RELEASE\=1 -Xcc -DCOCOAPODS\=1 -emit-objc-header -emit-objc-header-path /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/Objects-normal/arm64/flutter_inappwebview-Swift.h -import-underlying-module -Xcc -ivfsoverlay -Xcc /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/flutter_inappwebview.build/unextended-module-overlay.yaml -working-directory /Users/user1/StudioProjects/app/ios/Pods
6
7remark: Incremental compilation has been disabled: it is not compatible with whole module optimization
8Command CompileSwiftSources failed with a nonzero exit code
9SwiftCodeGeneration normal arm64 (in target 'DKImagePickerController' from project 'Pods')
10    cd /Users/user1/StudioProjects/app/ios/Pods
11    /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/swift-frontend -frontend -c -primary-file /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/DKImagePickerController.build/Objects-normal/arm64/DKPopoverViewController.bc -embed-bitcode -target arm64-apple-ios9.0 -Xllvm -aarch64-use-tbi -O -disable-llvm-optzns -module-name DKImagePickerController -o /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/DKImagePickerController.build/Objects-normal/arm64/DKPopoverViewController.o
12
13LLVM ERROR: out of memory
14Allocation failed
15Please submit a bug report (https://swift.org/contributing/#reporting-bugs) and include the project and the crash backtrace.
16Stack dump:
170.  Program arguments: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/swift-frontend -frontend -c -primary-file /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/DKImagePickerController.build/Objects-normal/arm64/DKPopoverViewController.bc -embed-bitcode -target arm64-apple-ios9.0 -Xllvm -aarch64-use-tbi -O -disable-llvm-optzns -module-name DKImagePickerController -o /Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/DKImagePickerController.build/Objects-normal/arm64/DKPopoverViewController.o
181.  Apple Swift version 5.6 (swiftlang-5.6.0.323.62 clang-1316.0.20.8)
192.  Compiling with the current language version
203.  Running pass 'Function Pass Manager' on module '/Users/user1/Library/Developer/Xcode/DerivedData/Runner-dmjvwbvrfekhkvanzgfshfxgayly/Build/Intermediates.noindex/ArchiveIntermediates/Runner/IntermediateBuildFilesPath/Pods.build/Release-iphoneos/DKImagePickerController.build/Objects-normal/arm64/DKPopoverViewController.bc'.
214.  Running pass 'ObjC ARC contraction' on function '@UI_USER_INTERFACE_IDIOM'
22Stack dump without symbol names (ensure you have llvm-symbolizer in your PATH or set the environment var `LLVM_SYMBOLIZER_PATH` to point to it):
230  swift-frontend           0x000000010fa19de7 llvm::sys::PrintStackTrace(llvm::raw_ostream&amp;, int) + 39
241  swift-frontend           0x000000010fa18e38 llvm::sys::RunSignalHandlers() + 248
252  swift-frontend           0x000000010fa1a440 SignalHandler(int) + 288
263  libsystem_platform.dylib 0x00007ff81c319dfd _sigtramp + 29
274  libsystem_malloc.dylib   0x00007ff81c137abb _malloc_zone_malloc + 125
285  libsystem_c.dylib        0x00007ff81c24fd24 abort + 123
296  swift-frontend           0x000000010f966cda llvm::report_bad_alloc_error(char const*, bool) + 106
307  swift-frontend           0x000000010f966cf2 out_of_memory_new_handler() + 18
318  libc++abi.dylib          0x00007ff81c2c196b operator new(unsigned long) + 43
329  swift-frontend           0x000000010f727efd llvm::Function::BuildLazyArguments() const + 77
3310 swift-frontend           0x000000010d510e87 llvm::objcarc::BundledRetainClaimRVs::insertRVCallWithColors(llvm::Instruction*, llvm::CallBase*, llvm::DenseMap&lt;llvm::BasicBlock*, llvm::TinyPtrVector&lt;llvm::BasicBlock*&gt;, llvm::DenseMapInfo&lt;llvm::BasicBlock*&gt;, llvm::detail::DenseMapPair&lt;llvm::BasicBlock*, llvm::TinyPtrVector&lt;llvm::BasicBlock*&gt; &gt; &gt; const&amp;) + 151
3411 swift-frontend           0x000000010d523f88 (anonymous namespace)::ObjCARCContract::run(llvm::Function&amp;, llvm::AAResults*, llvm::DominatorTree*) + 1384
3512 swift-frontend           0x000000010f75f380 llvm::FPPassManager::runOnFunction(llvm::Function&amp;) + 1488
3613 swift-frontend           0x000000010f766073 llvm::FPPassManager::runOnModule(llvm::Module&amp;) + 67
3714 swift-frontend           0x000000010f75fb39 llvm::legacy::PassManagerImpl::run(llvm::Module&amp;) + 1161
3815 swift-frontend           0x000000010ac7d6df swift::performLLVMOptimizations(swift::IRGenOptions const&amp;, llvm::Module*, llvm::TargetMachine*) + 3791
3916 swift-frontend           0x000000010ac7e8cc swift::performLLVM(swift::IRGenOptions const&amp;, swift::DiagnosticEngine&amp;, llvm::sys::SmartMutex&lt;false&gt;*, llvm::GlobalVariable*, llvm::Module*, llvm::TargetMachine*, llvm::StringRef, swift::UnifiedStatsReporter*) + 2812
4017 swift-frontend           0x000000010ac87aa5 swift::performLLVM(swift::IRGenOptions const&amp;, swift::ASTContext&amp;, llvm::Module*, llvm::StringRef) + 213
4118 swift-frontend           0x000000010a742795 swift::performFrontend(llvm::ArrayRef&lt;char const*&gt;, char const*, void*, swift::FrontendObserver*) + 16565
4219 swift-frontend           0x000000010a7015d4 swift::mainEntry(int, char const**) + 1108
4320 dyld                     0x000000011812c51e start + 462
44error: Abort trap: 6 (in target 'DKImagePickerController' from project 'Pods')
45# Uncomment this line to define a global platform for your project
46platform :ios, '12.0'
47
48# CocoaPods analytics sends network stats synchronously affecting flutter build latency.
49ENV['COCOAPODS_DISABLE_STATS'] = 'true'
50
51project 'Runner', {
52  'Debug' =&gt; :debug,
53  'Profile' =&gt; :release,
54  'Release' =&gt; :release,
55}
56
57def flutter_root
58  generated_xcode_build_settings_path = File.expand_path(File.join('..', 'Flutter', 'Generated.xcconfig'), __FILE__)
59  unless File.exist?(generated_xcode_build_settings_path)
60    raise &quot;#{generated_xcode_build_settings_path} must exist. If you're running pod install manually, make sure flutter pub get is executed first&quot;
61  end
62
63  File.foreach(generated_xcode_build_settings_path) do |line|
64    matches = line.match(/FLUTTER_ROOT\=(.*)/)
65    return matches[1].strip if matches
66  end
67  raise &quot;FLUTTER_ROOT not found in #{generated_xcode_build_settings_path}. Try deleting Generated.xcconfig, then run flutter pub get&quot;
68end
69
70require File.expand_path(File.join('packages', 'flutter_tools', 'bin', 'podhelper'), flutter_root)
71
72flutter_ios_podfile_setup
73
74target 'Runner' do
75  use_frameworks!
76  use_modular_headers!
77
78  flutter_install_all_ios_pods File.dirname(File.realpath(__FILE__))
79end
80
81post_install do |installer|
82  installer.pods_project.targets.each do |target|
83    flutter_additional_ios_build_settings(target)
84  end
85end
86name: app_test
87description: app_test Flutter application.
88
89# The following defines the version and build number for your application.
90# A version number is three numbers separated by dots, like 1.2.43
91# followed by an optional build number separated by a +.
92# Both the version and the builder number may be overridden in flutter
93# build by specifying --build-name and --build-number, respectively.
94# In Android, build-name is used as versionName while build-number used as versionCode.
95# Read more about Android versioning at https://developer.android.com/studio/publish/versioning
96# In iOS, build-name is used as CFBundleShortVersionString while build-number used as CFBundleVersion.
97# Read more about iOS versioning at
98# https://developer.apple.com/library/archive/documentation/General/Reference/InfoPlistKeyReference/Articles/CoreFoundationKeys.html
99version: 3.5.0+61 
100
101environment:
102  sdk: &quot;&gt;=2.7.0 &lt;3.0.0&quot;
103
104dependencies:
105  flutter:
106    sdk: flutter
107  flutter_localizations:  
108    sdk: flutter
109  shared_preferences: ^2.0.13  
110  http: ^0.13.4  
111  intl: ^0.17.0 
112  encrypt: ^5.0.1 
113  json_annotation: ^4.4.0 
114  searchable_dropdown: ^1.1.3  
115  flutter_typeahead: ^3.2.4  
116  flutter_datetime_picker: ^1.5.1  
117  image_picker: ^0.8.4+10 
118  connectivity_plus: ^2.2.1  
119  flutter_svg: ^0.23.0+1  
120  file_picker: ^4.5.0 
121  open_file: ^3.2.1  
122  permission_handler: ^9.2.0  
123  path_provider: ^2.0.9 
124  sqflite: ^2.0.2 
125  device_info_plus: ^3.2.2
126  url_launcher: ^6.0.20 
127  maps_launcher: ^2.0.1 
128  package_info_plus: ^1.4.0 #package info
129  flutter_html: ^2.2.1  #html display
130  html_editor_enhanced: ^2.4.0+1 #html textbox summernote
131  cupertino_icons: ^1.0.4 # Use with the CupertinoIcons class for iOS style icons.
132  flutter_colorpicker: ^1.0.3
133  syncfusion_flutter_calendar: ^19.4.55 
134  geolocator: ^8.2.0
135  mobile_scanner: ^1.0.0 
136
137
138dev_dependencies:
139  flutter_test:
140    sdk: flutter
141  platform: ^3.1.0
142

ANSWER

Answered 2022-Mar-22 at 07:22

Downgrading Xcode from 13.3 to 13.2.1 solved my problems.

Source https://stackoverflow.com/questions/71558250