Skip to main content

Kedro-Viz helps visualise Kedro data and analytics pipelines

Project description

Kedro-Viz

develop master
CircleCI CircleCI

npm version PyPI version License Python Version code style: prettier

Kedro-Viz shows you how your Kedro data pipelines are structured.

With Kedro-Viz you can:

  • See how your datasets and Python functions (nodes) are resolved in Kedro so that you can understand how your data pipeline is built
  • Get a clear picture when you have lots of datasets and nodes by using tags to visualise sub-pipelines
  • Search for nodes and datasets

Kedro-Viz Pipeline Visualisation

This project was bootstrapped with Create React App, for which more complete documentation is available on the project website.

How do I install and use Kedro-Viz?

For in-depth development and usage notes, see the Contribution Guidelines.

As a Kedro Python plugin

Kedro-Viz is available as a Python plugin named kedro-viz.

The following conditions must be true in order to visualise your pipeline:

  • Your project directory must be available to the Kedro-Viz plugin.
  • You must be using a Kedro project structure with a complete Data Catalog, nodes and pipeline structure.

To install it:

pip install kedro-viz

This will install kedro as a dependency, and add kedro viz as an additional CLI command.

Kedro CLI command

To visualise your pipeline, go to your project root directory and install the project-specific dependencies by running:

kedro install

This will install the dependencies specified in requirements.txt in your Kedro environment (see the Kedro documentation for how to set up your Python virtual environment).

Finally, run the following command from the project directory to visualise your pipeline:

kedro viz

This command will run kedro_viz.server on http://127.0.0.1:4141/ which cannot be accessed from another machine.

Kedro-Viz has a number of options to customise running the visualisation:

CLI command Description
--host Host that viz will listen to. Defaults to 127.0.0.1.
--port TCP port that viz will listen to. Defaults to 4141.
--browser/--no-browser Whether to open viz interface in the default browser or not.
--load-file Path to load the pipeline JSON file
--save-file Path to save the pipeline JSON file
--pipeline Name of the modular pipeline to visualise. If not set, the default pipeline is visualised.
--env, -e Kedro configuration environment. If not specified, catalog config in local will be used.

As a JavaScript React component

Kedro-Viz is also available as an npm package named @quantumblack/kedro-viz. To install it:

npm install @quantumblack/kedro-viz

Then include it in your React application:

import KedroViz from '@quantumblack/kedro-viz';

const MyApp = () => <KedroViz data={json} />;

As a JavaScript React component, the project is designed to be used in two different ways:

  1. Standalone application

    Run npm run build to generate a production build as a full-page app. The built app will be placed in the /build directory. Data for the chart should be placed in /public/api/nodes.json because this directory is marked gitignore.

  2. React component

    Kedro-Viz can be used as a React component that can be imported into other applications. Publishing the package will run npm run lib, which compiles the source code in /src, and places it in the /lib directory.

    The React component exposes props that can be used to supply data and customise its behaviour. For information about the props, their expected prop-types and default values, see /src/components/app/index.js. For examples of the expected data input format, see the mock data examples in /src/utils/data, and compare the resulting demo.

What licence do you use?

Kedro-Viz is licensed under the Apache 2.0 License.

↑↑↓↓←→←→BA

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

kedro-viz-3.2.0.tar.gz (1.6 MB view details)

Uploaded Source

Built Distributions

kedro_viz-3.2.0-py3.6.egg (1.6 MB view details)

Uploaded Source

kedro_viz-3.2.0-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file kedro-viz-3.2.0.tar.gz.

File metadata

  • Download URL: kedro-viz-3.2.0.tar.gz
  • Upload date:
  • Size: 1.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.6.10

File hashes

Hashes for kedro-viz-3.2.0.tar.gz
Algorithm Hash digest
SHA256 7fa61f6324922b3bcd0aa8f79d498fde71c5b3f16030b973e10bf2ee7718cefd
MD5 21838beba504c54017925a1145304c5a
BLAKE2b-256 b0fbfc43f64e4b26feee61632cba0cd3d4c826efa9e5c7b07ed35174c5f3dba7

See more details on using hashes here.

File details

Details for the file kedro_viz-3.2.0-py3.6.egg.

File metadata

  • Download URL: kedro_viz-3.2.0-py3.6.egg
  • Upload date:
  • Size: 1.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.6.10

File hashes

Hashes for kedro_viz-3.2.0-py3.6.egg
Algorithm Hash digest
SHA256 be67fbb4ed0a8e5920e90816f4c3123a280ca01efe9679a3d92da79c31338e18
MD5 5f01e98aa1bb99b61ab6915cd351649b
BLAKE2b-256 4f0057af01b18c6bcf405a8ceeb774b0d64da67a8a2b658cad9f725016ddfd40

See more details on using hashes here.

File details

Details for the file kedro_viz-3.2.0-py3-none-any.whl.

File metadata

  • Download URL: kedro_viz-3.2.0-py3-none-any.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.6.10

File hashes

Hashes for kedro_viz-3.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 73071af0cbe51833e339884eb32f2f9fc5ce3262f3d406ceb303f128a595219c
MD5 a773199e98c6ff2931568c891e6bcd2b
BLAKE2b-256 4b114349d54111b5bb18388c16d462dfcff1a3ff5f98237de6c0f44d43b9f934

See more details on using hashes here.

Supported by

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