52 best Python data visualization libraries in 2024

For all practical purposes, data visualization is about using maps, graphs, and charts to make a graphical representation of the data at hand.

It helps us in understanding patterns and correlations that are otherwise not obvious. And Python helps us achieve just that but with state-of-the-art precision and top-end efficiency. So, whether it’s indicators, line, bar, pie, or area charts, pivot table, or scatter map — there are Python libraries that can pictorially represent your data with finesse.

With Python, we get many great, feature-packed data visualization libraries. Apache’s Superset, for instance, is one of the modern data exploration and visualization platforms. It’s fast, intuitive, and lightweight. It integrates with modern databases and outputs rich visualizations. Plus, it’s customizable for users across the spectrum, and hence easy to use. There’s also the Bokeh Visualization Library which is again, one of the most powerful data visualization libraries out there. With it, you can add customer JavaScript support, create and share plots on web pages or Jupyter notebooks, and work closely with the PyData tools we are all familiar with. Then there’s Streamlit which can, within minutes, turn data scripts into web apps without any unnecessary front-end experience.

superset  

• superset is a TypeScript library typically used in Analytics applications,  
• superset has no bugs and has a Permissive License.  
• A modern, enterprise-ready business intelligence web application.  

streamlit  

• Streamlit is an open-source Python library used to create web applications.  
• It makes it easy to turn data scripts into shareable web apps.  
• It is particularly useful for rapid prototyping and development of data applications.  

dash  

• Dash is an open-source Python framework for building analytical web applications.  
• It is popular for creating interactive, data-driven dashboards.  
• Dash uses a callback system that allows components to update in response to users.  

bokeh  

• Bokeh is an interactive data visualization library that targets modern web.  
• It provides concise construction of versatile graphics.  
• Bokeh helps to create interactive plots, dashboards, and data applications.  

seaborn  

• Seaborn, a data visualization library for Python, built on Matplotlib.  
• It provides a high-level interface for creating catchy and informative statistical graphics.  
• Seaborn simplifies the creation of complex statistical plots with concise syntax.  

best-of-ml-python  

• best-of-ml-python is a Python library typically used in Artificial Intelligence.  
• best-of-ml-python has no bugs or vulnerabilities.  
• best-of-ml-python has a medium active ecosystem. 

checkov  

• checkov is a Python library typically used in Security, Terraform applications.  
• Checkov, a static code analysis tool, used for infrastructure-as-code.  
• Install using 'pip install checkov' or download it from GitHub, GitLab, PyPI.

Flask-AppBuilder  

• Flask-AppBuilder is an open-source Flask extension that simplifies the process.  
• It provides a foundation for creating web applications with Flask by offering it.  
• Flask-AppBuilder integrates with Flask-SQLAlchemy, providing a simple way to define database models.  

orange3  

• orange3 is a Python library typically used in Analytics and Data Visualization applications.  
• Orange3 has no bugs or vulnerabilities.  
• Orange3 makes it accessible to both beginners and experienced scientists.  

missingno  

• missingno is a Python library that provides a convenient way to visualize data in a dataset.  
• It is particularly useful for exploring and understanding the distribution of missing values.  
• The library generates a matrix plot that visualizes the presence and absence.  

chartify  

• Chartify is a Python library for creating interactive and customizable charts with syntax.  
• It is built on Matplotlib and provides a high-level interface for generating charts.  
• Chartify is user-friendly, making it suitable for beginners.  

XlsxWriter  

• XlsxWriter is a Python module for writing Excel files in the XLSX file format.  
• It allows you to create Excel files with various features, like formatting, charts, etc.  
• XlsxWriter supports the newer XLSX file format used by Microsoft Excel 2007, etc.  

datashader  

• Datashader is a Python library designed for visualizing large datasets easily and efficiently.  
• It is useful when dealing with datasets that are too large to fit into memory.  
• It uses a rasterization-based approach to visualize data points efficiently.  

pyqtgraph  

• PyQtGraph is a Python library for creating interactive and real-time 2D and 3D graphs.  
• It is built on top of the Qt library, specifically the PyQt bindings for Python.  
• It is particularly well-suited for real-time data plotting and exploration. 

matplotlib-cheatsheet  

• matplotlib-cheatsheet is a Python library typically used in Analytics and Data Visualization applications.  
• matplotlib-cheatsheet has no bugs or vulnerabilities.  
• matplotlib-cheatsheet has a medium active ecosystem.  

holoviews  

• HoloViews is a Python library for building complex visualizations easily and quickly.  
• It simplifies the process of creating interactive and dynamic visualizations.  
• HoloViews works well with a variety of plotting libraries, including Matplotlib, Bokeh.  

electricitymap-contrib  

• electricitymap-contrib is a Python library typically used in Analytics, Data Visualization, D3 applications.  
• electricitymap-contrib has no bugs, it has no vulnerabilities.  
• A real-time visualisation of the CO2 emissions to monitor electricity consumption.  

hypertools  

• hypertools is a Python library designed for visualizing and analyzing high-dimensional data.  
• It provides a set of tools for dimensionality reduction, visualization, and exploration.  
• hypertools is built on top of other popular Python libraries such as NumPy, etc.  

sweetviz  

• Sweetviz, a Python library, helps with visualizing and comparing datasets.  
• It generates high-density visualizations to help users understand the distribution of data.  
• Sweetviz allows users to compare two datasets to identify differences in their distributions.  

asciichart  

• asciichart is a simple Python library that allows you to create ASCII line charts.  
• It's a lightweight tool and is useful for quick and straightforward visualizations.  
• it has a Permissive License and it has medium support.  

django-rest-pandas  

• django-rest-pandas is a JavaScript library typically used in Analytics, Data Visualization, React applications.  
• django-rest-pandas has no bugs and has no vulnerabilities.  
• The extension enables rendering Django query sets and serialized data as Pandas DataFrames.  

geoplot  

• geoplot is a Python library for creating geographical visualizations.  
• geoplot simplifies the process of creating complex geographical visualizations with a high-level API.  
• It abstracts away many of the details, making it easier for users to generate maps quickly.  

The-Python-Graph-Gallery  

• The-Python-Graph-Gallery is a Jupyter Notebook library typically used in User Interface, Chart applications.  
• The-Python-Graph-Gallery has no bugs and has no vulnerabilities.  
• it has a Permissive License and it has medium support.  

glue  

• Glue is an open-source Python library and graphical user interface tool.  
• Glue enables linked visualizations, meaning that selections in one plot update other links.  
• This feature is useful for exploring correlations and patterns across multiple dimensions.  

plotly_express  

• plotly express is a high-level data visualization library in Python.  
• It provides a simple syntax for creating a variety of interactive plots.  
• plotly_express offers a simplified API for creating a wide range of plots.  

python-nvd3  

• python-nvd3 is a Python wrapper for the JavaScript library NVD3.  
• NVD3 is built on top of the D3.js library and provides reusable charts and components for creating it.  

yolov3-keras-tf2  

• yolov3-keras-tf2 is a Python library typically used in Artificial Intelligence, Machine Learning.  
• YOLOv3 is the third version of this algorithm and introduces improvements in accuracy.  
• It has a build file available and has a Permissive License.  

python-poloniex  

• python-poloniex is a Python wrapper for the Poloniex cryptocurrency exchange's public API.  
• Poloniex, a cryptocurrency exchange platform, allows users to trade assets.  
• It supports WebSocket connections to Poloniex, enabling real-time data streaming.  

bar_chart_race  

• bar_chart_race is a Python library for creating animated bar chart races.  
• bar_chart_race provides a straightforward syntax for creating animated bar chart races with code.  
• The library integrates with Pandas DataFrames, making it easy to work with data.  

kepler-mapper  

• KeplerMapper is an open-source Python library for the construction and visualization of topology.  
• It is primarily used for the analysis and interpretation of high-dimensional datasets.  
• Mapper algorithm builds the library, which helps to simplify and extract it.  

django-chartit  

• django-chartit is a Django application that provides utilities for creating charts.  
• It is built on top of popular JavaScript charting libraries, such as Highcharts, etc.  
• It simplifies the integration of charts into Django projects.  

augur  

• augur is a Python library typically used in Analytics and data Visualization applications.  
• Augur, a software suite, helps collecting and measuring structured data for free.  
• Augur has no bugs or vulnerabilities.  

jupyter_pivottablejs  

• jupyter_pivottablejs is a Python library typically used in Analytics, Data Visualization, Jupyter.  
• jupyter_pivottablejs has no bugs, it has no vulnerabilities.  
• It has a build file available, and it has low support.  

chartpy  

• chartpy is a Python library typically used in Analytics and data Visualization applications.  
• chartpy has no bugs a has no vulnerabilities.  
• chartpy creates a simple easy to use API. It helps plot in several great Python chart libraries like plotly, bokeh, etc.  

PyWaffle  

• PyWaffle is a Python library typically used in Analytics, Data Visualization applications.  
• PyWaffle has no bugs, it has no vulnerabilities.  
• PyWaffle is an open source, MIT-licensed Python package for plotting waffle charts.  

django-nvd3  

• django-nvd3 is a Django application that provides integration with the NVD3 JavaScript library.  
• NVD3 is built on top of the D3.js library and provides reusable chart components for creating it.  
• NVD3 charts are interactive, allowing users to explore and interact with the data.   

maloja  

• maloja is a Python library typically used in User Interface, Frontend Framework.  
• maloja has no bugs, it has no vulnerabilities.  
• it has a Strong Copyleft License and it has low support.  

corner.py  

• corner.py is a Python library typically used in Analytics, Data Visualization applications.  
• corner.py has no bugs, it has no vulnerabilities.  
• corner.py has a low active ecosystem.  

pyart  

• Py-ART provides tools for reading and writing various radar data file formats.  
• The library offers functionality for basic and advanced data processing of radar data.  
• Py-ART includes visualization tools for displaying radar data and derived quantities.  

animatplot  

• animatplot is a Python library typically used in Analytics, Data Visualization applications.  
• animatplot has no bugs, it has no vulnerabilities.  
• animatplot has a low active ecosystem.  

hyperspy  

• HyperSpy is an open-source Python library designed for multi-dimensional data analysis.  
• It provides tools for processing, analyzing, and visualizing large datasets encountered in techniques.  
• HyperSpy is particularly useful for researchers working with hyperspectral and imaging data.  

retentioneering-tools  

• retentioneering-tools is a Python library typically used in Analytics applications.  
• Retentioneering is a Python framework and library to assist product analysts and marketing.  
• it makes it easier to process and analyze clickstreams, event streams, trajectories.  

data_visualization  

• Data visualization is an important aspect of data analysis and interpretation.  
• It creates visual representations of data to help the understand it.  
• data_visualization is a Python library typically used in Analytics, Data Visualization, Jupyter applications.  

billboard-charts  

• billboard-charts is a Python library typically used in User Interface, Chart applications.  
• billboard-charts has no bugs, it has no vulnerabilities.  
• billboard-charts has a low active ecosystem.  

cjworkbench  

• cjworkbench is a Python library typically used in Analytics, Data Visualization, Pandas applications.  
• cjworkbench build file is not available and it has a Non-SPDX License.  
• cjworkbench has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.  

django-admin-tools-stats  

• django-admin-tools-stats is a Python library typically used in Analytics, Dashboard applications.  
• django-admin-tools-stats has built file available and it has low support.  
• django-admin-tools-stats has 2 bugs, it has 1 vulnerability and it has a Non-SPDX License.  

openstreetmap-heatmap  

• openstreetmap-heatmap is a Python library typically used in Geo, and Map applications.  
• This project is a visualization of OpenStreetMap data. It has Blender and Python as a 3D plot.  
• It creates an occurrence heatmap of all points that collect within a country with a certain tag.  

dashing  

• dashing is a Python library typically used in Utilities, & Command Line Interface applications.  
• dashing has no bugs or vulnerabilities.  
• You can install using 'pip install dashing' or download it from GitHub, PyPI.  

IDACyber  

• IDACyber is a Python library typically used in Plugin applications.  
• IDACyber has no bugs, it has no vulnerabilities.  
• IDACyber has a license under the MIT License. This license is Permissive.