jupyter-dash | Develop Dash apps in the Jupyter Notebook and JupyterLab

by plotly Python Version: 0.4.2 License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | jupyter-dash Summary

jupyter-dash is a Python library typically used in Data Science, Jupyter applications. jupyter-dash has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'npm i jupyterlab-dash' or download it from GitHub, npm.

This library makes it easy to develop Plotly Dash apps interactively from within Jupyter environments (e.g. classic Notebook, JupyterLab, Visual Studio Code notebooks, nteract, PyCharm notebooks, etc.). See the notebooks/getting_started.ipynb for more information and example usage.

Support

Quality

Security

License

Reuse

Support

jupyter-dash has a medium active ecosystem.

It has 914 star(s) with 242 fork(s). There are 41 watchers for this library.

It had no major release in the last 12 months.

There are 46 open issues and 25 have been closed. On average issues are closed in 62 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of jupyter-dash is 0.4.2

Quality

jupyter-dash has 0 bugs and 0 code smells.

Security

jupyter-dash has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

jupyter-dash code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

jupyter-dash is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

jupyter-dash releases are available to install and integrate.

Deployable package is available in npm.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

It has 609 lines of code, 31 functions and 11 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed jupyter-dash and discovered the below as its top functions. This is intended to give you an instant insight into jupyter-dash implemented functionality, and help decide if they suit your requirements.

Run the build method
Get the version of labextension
Infer Jupyter configuration
Request Jupyter configuration
Send Jupyter config request
Return whether a Jupyter command was received
Get the lab extension version
Runs the server
Run the dashboard
Configure exception handler
Display a dashboard in jupyter notebook
Return the number of skipped messages
Display the kernel in a colab
Updates a time series based on a country name
Create a time series
Updates the x - axis index of the hover data
Return the contents of the README md file

Get all kandi verified functions for this library.

jupyter-dash Key Features

No Key Features are available at this moment for jupyter-dash.

jupyter-dash Examples and Code Snippets

No Code Snippets are available at this moment for jupyter-dash.

Community Discussions

Trending Discussions on jupyter-dash

JupyterDash app.run_server error using Jupyter Notebook

Running jupyter-dash in docker container

Dash Core components can't be loaded due to an AttributeError

QUESTION

JupyterDash app.run_server error using Jupyter Notebook

Asked 2022-Jan-31 at 12:23

I am trying to make charts using JupyterDash but first things first... i can't run simple JupyterDash test via Jupyter Notebook because every time i receive the same error:

...

ANSWER

Answered 2022-Jan-30 at 20:52

I had the same problem with and old notebook, after some changes, it works again.

Initially, I had the code below:

Source https://stackoverflow.com/questions/70908709

QUESTION

Running jupyter-dash in docker container

Asked 2021-Nov-27 at 11:43

I have created a docker file, by following https://www.youtube.com/watch?v=QkOKkrKqI-k The docker builds perfectly fine and runs jupyter lab. Also, I can run a simple dash application.

...

ANSWER

Answered 2021-Nov-27 at 11:43

I'm not sure if my answer is the right approach, but I made it work. if anyone has any better solutions please post here.

the docker file remains the same.
after the build of the docker image I run,

docker run -it -p 8888:8888 -p 8050:8050

The only change I made is (the hostname in app.run_server) So my main command looks like this :

app.run_server(mode='inline', host="0.0.0.0", port=8050, dev_tools_ui=True) this works for both inline, external, and jupyterlab.

Source https://stackoverflow.com/questions/70118476

QUESTION

Dash Core components can't be loaded due to an AttributeError

Asked 2020-Sep-28 at 08:25

Environment

OS: Windows 10
Python 3.8.2

The installed Dash components are: (pip list | grep dash):
dash 1.16.2
dash-core-components 1.12.1
dash-html-components 1.1.1
dash-renderer 1.8.2
dash-table 4.10.1
jupyter-dashboards 0.7.0