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

 by   plotly Python Version: 0.4.2 License: MIT

kandi X-RAY | jupyter-dash Summary

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.

            kandi-support 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

            kandi-Quality Quality

              jupyter-dash has 0 bugs and 0 code smells.

            kandi-Security 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.

            kandi-License 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.

            kandi-Reuse 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


            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:



            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


            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.



            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="", port=8050, dev_tools_ui=True) this works for both inline, external, and jupyterlab.

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


            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

            • Used Python code


            Answered 2020-Sep-28 at 08:25

            It's now fixed and works as expected.

            After I uninstalled all dash components and reinstalled them in this order:

            1. dash-core-components
            2. dash (tooks all dependencies)
              and rerun the script it works fine.
            • My configuration at the end
              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

            Source https://stackoverflow.com/questions/64091707

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install jupyter-dash

            You can install the JupyterDash Python package using pip...


            When used in JupyterLab, JupyterDash depends on the jupyterlab-dash JupyterLab extension, which requires JupyterLab version 2.0 or above.
            Find more information at:

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          • PyPI

            pip install jupyter-dash

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          • CLI

            gh repo clone plotly/jupyter-dash

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