Skip to main content

React Flow for the Plotly Dash framework.

Project description

Dash Flows

Dash Flows is a Dash component library.

React Flow for the Plotly Dash framework.

Get started with:

  1. Install Dash and its dependencies: https://dash.plotly.com/installation
  2. Run python usage.py
  3. Visit http://localhost:8050 in your web browser

Contributing

See CONTRIBUTING.md

Install dependencies

If you have selected install_dependencies during the prompt, you can skip this part.

  1. Install npm packages

    $ npm install
    
  2. Create a virtual env and activate.

    $ virtualenv venv
    $ . venv/bin/activate
    

    Note: venv\Scripts\activate for windows

  3. Install python packages required to build components.

    $ pip install -r requirements.txt
    
  4. Install the python packages for testing (optional)

    $ pip install -r tests/requirements.txt
    

Write your component code in src/lib/components/DashFlows.react.js.

  • The demo app is in src/demo and you will import your example component code into your demo app.
  • Test your code in a Python environment:
    1. Build your code
      $ npm run build
      
    2. Run and modify the usage.py sample dash app:
      $ python usage.py
      
  • Write tests for your component.
    • A sample test is available in tests/test_usage.py, it will load usage.py and you can then automate interactions with selenium.
    • Run the tests with $ pytest tests.
    • The Dash team uses these types of integration tests extensively. Browse the Dash component code on GitHub for more examples of testing (e.g. https://github.com/plotly/dash-core-components)
  • Add custom styles to your component by putting your custom CSS files into your distribution folder (dash_flows).
    • Make sure that they are referenced in MANIFEST.in so that they get properly included when you're ready to publish your component.
    • Make sure the stylesheets are added to the _css_dist dict in dash_flows/__init__.py so dash will serve them automatically when the component suite is requested.
  • Review your code

Create a production build and publish:

  1. Build your code:

    $ npm run build
    
  2. Create a Python distribution

    $ python setup.py sdist bdist_wheel
    

    This will create source and wheel distribution in the generated the dist/ folder. See PyPA for more information.

  3. Test your tarball by copying it into a new environment and installing it locally:

    $ pip install dash_flows-0.0.3.tar.gz
    
  4. If it works, then you can publish the component to NPM and PyPI:

    1. Publish on PyPI
      $ twine upload dist/*
      
    2. Cleanup the dist folder (optional)
      $ rm -rf dist
      
    3. Publish on NPM (Optional if chosen False in publish_on_npm)
      $ npm publish
      
      Publishing your component to NPM will make the JavaScript bundles available on the unpkg CDN. By default, Dash serves the component library's CSS and JS locally, but if you choose to publish the package to NPM you can set serve_locally to False and you may see faster load times.
  5. Share your component with the community! https://community.plotly.com/c/dash

    1. Publish this repository to GitHub
    2. Tag your GitHub repository with the plotly-dash tag so that it appears here: https://github.com/topics/plotly-dash
    3. Create a post in the Dash community forum: https://community.plotly.com/c/dash

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dash_flows-0.0.3.tar.gz (1.7 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dash_flows-0.0.3-py3-none-any.whl (1.8 MB view details)

Uploaded Python 3

File details

Details for the file dash_flows-0.0.3.tar.gz.

File metadata

  • Download URL: dash_flows-0.0.3.tar.gz
  • Upload date:
  • Size: 1.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.8

File hashes

Hashes for dash_flows-0.0.3.tar.gz
Algorithm Hash digest
SHA256 b2168df82e82bf10a9cf2923444c572dec9f5b8f4257e64e1fe676776666c969
MD5 ca24fa772e9155da62a2eca2154f4f2a
BLAKE2b-256 cbe9bbcbb973dd8acb4fa5a483e21b83555e77aac259c74af1c10d86060c236d

See more details on using hashes here.

File details

Details for the file dash_flows-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: dash_flows-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.8

File hashes

Hashes for dash_flows-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 a9bf7870332d3062717d34e19554141eec708c1bb6ed1fb8fe80c923d8bdec0e
MD5 626d1f608abaeb802b63ebad5fdba992
BLAKE2b-256 a7c4703c7414125f498e9c3a83d86250ed72af641f4d74cdd290d89d179034ee

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page