# Kedro-Viz
<br />
<p align="center">
</p>
<p align="center">
✨ <em> Data Science Pipelines. Beautifully Designed</em> ✨
<br />
Live Demo: <a href="https://demo.kedro.org/" target="_blank">https://demo.kedro.org/</a>
</p>
<br />
[](https://github.com/kedro-org/kedro-viz/actions)
[](https://docs.kedro.org/en/stable/visualisation/)
[](https://pypi.org/project/kedro-viz/)
[](https://pypi.org/project/kedro-viz/)
[](https://pepy.tech/project/kedro-viz)
[](https://badge.fury.io/js/%40quantumblack%2Fkedro-viz)
[](https://opensource.org/licenses/Apache-2.0)
[](https://github.com/prettier/prettier)
[](https://slack.kedro.org)
## Introduction
Kedro-Viz is an interactive development tool for building data science pipelines with [Kedro](https://github.com/kedro-org/kedro). Kedro-Viz also allows users to view and compare different runs in the Kedro project.
## Features
- ✨ Complete visualisation of a Kedro project and its pipelines
- 🎨 Supports light & dark themes out of the box
- 🚀 Scales to big pipelines with hundreds of nodes
- 🔎 Highly interactive, filterable and searchable
- 🔬 Focus mode for modular pipeline visualisation
- 📊 Rich metadata side panel to display parameters, plots, etc.
- 📊 Supports all types of [Plotly charts](https://plotly.com/javascript/)
- ♻️ Autoreload on code change
- 🧪 Supports tracking and comparing runs in a Kedro project
- 🎩 Many more to come
## Installation
There are two ways you can use Kedro-Viz:
- As a [Kedro plugin](https://docs.kedro.org/en/stable/extend_kedro/plugins.html) (the most common way).
To install Kedro-Viz as a Kedro plugin:
```bash
pip install kedro-viz
```
- As a standalone React component (for embedding Kedro-Viz in your web application).
To install the standalone React component:
```bash
npm install @quantumblack/kedro-viz
```
## Usage
#### Compatibility with Kedro and Kedro-datasets
Ensure your `Kedro`, `Kedro-Viz` and `Kedro-datasets` versions are supported by referencing the following table:
<table>
<tr>
<th>Python Version</th>
<th style="text-align: center" colspan="3">Last Supported</th>
</tr>
<tr>
<td></td>
<td>Kedro</td>
<td>Kedro-Viz</td>
<td>Kedro-datasets</td>
</tr>
<tr>
<td>3.6</td>
<td>0.17.7</td>
<td>4.1.1</td>
<td>-</td>
</tr>
<tr>
<td>3.7</td>
<td>0.18.14</td>
<td>6.7.0</td>
<td>1.8.0</td>
</tr>
<tr>
<td>3.8</td>
<td>Latest</td>
<td>7.1.0</td>
<td>1.8.0</td>
</tr>
<tr>
<td>>= 3.9</td>
<td>Latest</td>
<td>Latest</td>
<td>Latest</td>
</tr>
</table>
### CLI Usage
To launch Kedro-Viz from the command line as a Kedro plugin, use the following command from the root folder of your Kedro project:
```bash
kedro viz run
```
A browser tab opens automatically to serve the visualisation at `http://127.0.0.1:4141/`.
Kedro-Viz also supports the following additional arguments on the command line:
```bash
Usage: kedro viz run [OPTIONS]
Visualise a Kedro pipeline using Kedro-Viz.
Options:
--host TEXT Host that viz will listen to. Defaults to
localhost.
--port INTEGER TCP port that viz will listen to. Defaults to
4141.
--browser / --no-browser Whether to open viz interface in the default
browser or not. Browser will only be opened if
host is localhost. Defaults to True.
--load-file FILE Path to load Kedro-Viz data from a directory
--save-file FILE Path to save Kedro-Viz data to a directory
-p, --pipeline TEXT Name of the registered pipeline to visualise. If not
set, the default pipeline is visualised
-e, --env TEXT Kedro configuration environment. If not specified,
catalog config in `local` will be used
--autoreload Autoreload viz server when a Python or YAML file change in
the Kedro project
--include-hooks A flag to include all registered hooks in your
Kedro Project
--params TEXT Specify extra parameters that you want to pass to
the context initializer. Items must be separated
by comma, keys - by colon, example:
param1:value1,param2:value2. Each parameter is
split by the first comma, so parameter values are
allowed to contain colons, parameter keys are not.
To pass a nested dictionary as parameter, separate
keys by '.', example: param_group.param1:value1.
--lite An experimental flag to open Kedro-Viz without Kedro
project dependencies.
-h, --help Show this message and exit.
```
To deploy Kedro-Viz from the command line as a Kedro plugin, use the following command from the root folder of your Kedro project:
```bash
kedro viz deploy
```
```bash
Usage: kedro viz deploy [OPTIONS]
Deploy and host Kedro Viz on AWS S3.
Options:
--platform TEXT Supported Cloud Platforms like ('aws', 'azure', 'gcp')
to host Kedro Viz [required]
--endpoint TEXT Static Website hosted endpoint.(eg., For AWS - http://<b
ucket_name>.s3-website.<region_name>.amazonaws.com/)
[required]
--bucket-name TEXT Bucket name where Kedro Viz will be hosted [required]
--include-hooks A flag to include all registered hooks in your Kedro
Project
--include-previews A flag to include preview for all the datasets
-h, --help Show this message and exit.
```
To create a build directory of your local Kedro-Viz instance with static data from the command line, use the following command from the root folder of your Kedro project:
```bash
kedro viz build
```
```bash
Usage: kedro viz build [OPTIONS]
Create build directory of local Kedro Viz instance with Kedro project data
Options:
--include-hooks A flag to include all registered hooks in your Kedro
Project
--include-previews A flag to include preview for all the datasets
-h, --help Show this message and exit.
```
### Experiment Tracking usage
To enable [experiment tracking](https://docs.kedro.org/en/stable/experiment_tracking/index.html) in Kedro-Viz, you need to add the Kedro-Viz `SQLiteStore` to your Kedro project.
This can be done by adding the below code to `settings.py` in the `src` folder of your Kedro project.
```python
from kedro_viz.integrations.kedro.sqlite_store import SQLiteStore
from pathlib import Path
SESSION_STORE_CLASS = SQLiteStore
SESSION_STORE_ARGS = {"path": str(Path(__file__).parents[2] / "data")}
```
Once the above set-up is complete, tracking datasets can be used to track relevant data for Kedro runs. More information on how to use tracking datasets can be found in the [experiment tracking documentation](https://docs.kedro.org/en/stable/experiment_tracking/index.html)
**Notes:**
- Experiment Tracking is only available for Kedro-Viz >= 4.0.2 and Kedro >= 0.17.5
- Prior to Kedro 0.17.6, when using tracking datasets, you will have to explicitly mark the datasets as `versioned` for it to show up properly in Kedro-Viz experiment tracking tab. From Kedro >= 0.17.6, this is done automatically:
```yaml
train_evaluation.r2_score_linear_regression:
type: tracking.MetricsDataset
filepath: ${base_location}/09_tracking/linear_score.json
versioned: true
```
### Standalone React component usage
To use Kedro-Viz as a standalone React component, you can follow the example below. However, please note that Kedro-Viz does not support server-side rendering (SSR). If you're using Next.js or another SSR framework, you should be aware of this limitation.
```javascript
import KedroViz from '@quantumblack/kedro-viz';
import '@quantumblack/kedro-viz/lib/styles/styles.min.css';
const MyApp = () => (
<div style={{height: `100vh`}}>
<KedroViz
data={json}
options={/* Options to configure Kedro Viz */}
/>
</div>
);
```
To use with NextJS:
```javascript
import '@quantumblack/kedro-viz/lib/styles/styles.min.css';
import dynamic from 'next/dynamic';
const NoSSRKedro = dynamic(() => import('@quantumblack/kedro-viz'), {
ssr: false,
});
const MyApp = () => <NoSSRKedro data={json} />;
```
The JSON can be obtained by running:
```bash
kedro viz run --save-file=filename
```
We also recommend wrapping the `Kedro-Viz` component with a parent HTML/JSX element that has a specified height (as seen in the above example) in order for Kedro-Viz to be styled properly.
For more information on how to use Kedro-Viz as a React component, follow this [guide](https://www.npmjs.com/package/@quantumblack/kedro-viz)
**_Our documentation contains [additional examples on how to visualise with Kedro-Viz.](https://docs.kedro.org/en/stable/visualisation/index.html)_**
## Kedro-Viz in Visual Studio Code Extension
To visualize Kedro project using Kedro-Viz in Visual Studio Code, please install Kedro extension in Visual Studio Code.
For more information on how to use Kedro-Viz in Visual Studio Code, follow this [guide](https://marketplace.visualstudio.com/items?itemName=kedro.Kedro)
## Feature Flags
Kedro-Viz uses features flags to roll out some experimental features. No feature flags are currently in use.
To enable or disable a flag, click on the settings icon in the toolbar and toggle the flag on/off.
Kedro-Viz also logs a message in your browser's [developer console](https://developer.mozilla.org/en-US/docs/Learn/Common_questions/What_are_browser_developer_tools#The_JavaScript_console) to show the available flags and their values as currently set on your machine.
## Python version support policy
Kedro Viz supports all Python versions that are actively maintained by the CPython core team. When a [Python version reaches end of life](https://devguide.python.org/versions/#versions), support for that version is dropped from Kedro-viz. This is not considered a breaking change.
## Maintainers
Kedro-Viz is maintained by the [Kedro team](https://docs.kedro.org/en/stable/contribution/technical_steering_committee.html#kedro-maintainers) and a number of [contributors from across the world](https://github.com/kedro-org/Kedro-Viz/contributors).
## Contribution
If you want to contribute to Kedro-Viz, please check out our [contributing guide](./CONTRIBUTING.md).
## License
Kedro-Viz is licensed under the [Apache 2.0](https://github.com/kedro-org/kedro-viz/blob/main/LICENSE.md) License.
## Citation
If you're an academic, Kedro-Viz can also help you, for example, as a tool to visualise how your publication's pipeline is structured. Find our citation reference on [Zenodo](https://doi.org/10.5281/zenodo.4277218).
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"description": "# Kedro-Viz\n\n<br />\n<p align=\"center\">\n\n\n\n</p>\n\n<p align=\"center\">\n\u2728 <em> Data Science Pipelines. Beautifully Designed</em> \u2728\n<br />\nLive Demo: <a href=\"https://demo.kedro.org/\" target=\"_blank\">https://demo.kedro.org/</a>\n</p>\n\n<br />\n\n[](https://github.com/kedro-org/kedro-viz/actions)\n[](https://docs.kedro.org/en/stable/visualisation/)\n[](https://pypi.org/project/kedro-viz/)\n[](https://pypi.org/project/kedro-viz/)\n[](https://pepy.tech/project/kedro-viz)\n[](https://badge.fury.io/js/%40quantumblack%2Fkedro-viz)\n[](https://opensource.org/licenses/Apache-2.0)\n[](https://github.com/prettier/prettier)\n[](https://slack.kedro.org)\n\n## Introduction\n\nKedro-Viz is an interactive development tool for building data science pipelines with [Kedro](https://github.com/kedro-org/kedro). Kedro-Viz also allows users to view and compare different runs in the Kedro project.\n\n## Features\n\n- \u2728 Complete visualisation of a Kedro project and its pipelines\n- \ud83c\udfa8 Supports light & dark themes out of the box\n- \ud83d\ude80 Scales to big pipelines with hundreds of nodes\n- \ud83d\udd0e Highly interactive, filterable and searchable\n- \ud83d\udd2c Focus mode for modular pipeline visualisation\n- \ud83d\udcca Rich metadata side panel to display parameters, plots, etc.\n- \ud83d\udcca Supports all types of [Plotly charts](https://plotly.com/javascript/)\n- \u267b\ufe0f Autoreload on code change\n- \ud83e\uddea Supports tracking and comparing runs in a Kedro project\n- \ud83c\udfa9 Many more to come\n\n## Installation\n\nThere are two ways you can use Kedro-Viz:\n\n- As a [Kedro plugin](https://docs.kedro.org/en/stable/extend_kedro/plugins.html) (the most common way).\n\n To install Kedro-Viz as a Kedro plugin:\n\n ```bash\n pip install kedro-viz\n ```\n\n- As a standalone React component (for embedding Kedro-Viz in your web application).\n\n To install the standalone React component:\n\n ```bash\n npm install @quantumblack/kedro-viz\n ```\n\n## Usage\n\n#### Compatibility with Kedro and Kedro-datasets \n\nEnsure your `Kedro`, `Kedro-Viz` and `Kedro-datasets` versions are supported by referencing the following table:\n\n<table>\n <tr>\n <th>Python Version</th>\n <th style=\"text-align: center\" colspan=\"3\">Last Supported</th>\n </tr>\n <tr>\n <td></td>\n <td>Kedro</td>\n <td>Kedro-Viz</td>\n <td>Kedro-datasets</td>\n </tr>\n <tr>\n <td>3.6</td>\n <td>0.17.7</td>\n <td>4.1.1</td>\n <td>-</td>\n </tr>\n <tr>\n <td>3.7</td>\n <td>0.18.14</td>\n <td>6.7.0</td>\n <td>1.8.0</td>\n </tr>\n <tr>\n <td>3.8</td>\n <td>Latest</td>\n <td>7.1.0</td>\n <td>1.8.0</td>\n </tr>\n <tr>\n <td>>= 3.9</td>\n <td>Latest</td>\n <td>Latest</td>\n <td>Latest</td>\n </tr>\n</table>\u200b\n\n\n### CLI Usage\n\nTo launch Kedro-Viz from the command line as a Kedro plugin, use the following command from the root folder of your Kedro project:\n\n```bash\nkedro viz run\n```\n\nA browser tab opens automatically to serve the visualisation at `http://127.0.0.1:4141/`.\n\nKedro-Viz also supports the following additional arguments on the command line:\n\n```bash\nUsage: kedro viz run [OPTIONS]\n\n Visualise a Kedro pipeline using Kedro-Viz.\n\nOptions:\n --host TEXT Host that viz will listen to. Defaults to\n localhost.\n\n --port INTEGER TCP port that viz will listen to. Defaults to\n 4141.\n\n --browser / --no-browser Whether to open viz interface in the default\n browser or not. Browser will only be opened if\n host is localhost. Defaults to True.\n\n --load-file FILE Path to load Kedro-Viz data from a directory\n --save-file FILE Path to save Kedro-Viz data to a directory \n -p, --pipeline TEXT Name of the registered pipeline to visualise. If not\n set, the default pipeline is visualised\n\n -e, --env TEXT Kedro configuration environment. If not specified,\n catalog config in `local` will be used\n\n --autoreload Autoreload viz server when a Python or YAML file change in\n the Kedro project\n\n --include-hooks A flag to include all registered hooks in your\n Kedro Project\n\n --params TEXT Specify extra parameters that you want to pass to\n the context initializer. Items must be separated\n by comma, keys - by colon, example:\n param1:value1,param2:value2. Each parameter is\n split by the first comma, so parameter values are\n allowed to contain colons, parameter keys are not.\n To pass a nested dictionary as parameter, separate\n keys by '.', example: param_group.param1:value1.\n\n --lite An experimental flag to open Kedro-Viz without Kedro\n project dependencies.\n\n -h, --help Show this message and exit.\n```\n\nTo deploy Kedro-Viz from the command line as a Kedro plugin, use the following command from the root folder of your Kedro project:\n\n```bash\nkedro viz deploy\n```\n\n```bash\nUsage: kedro viz deploy [OPTIONS]\n\n Deploy and host Kedro Viz on AWS S3.\n\nOptions:\n --platform TEXT Supported Cloud Platforms like ('aws', 'azure', 'gcp')\n to host Kedro Viz [required]\n --endpoint TEXT Static Website hosted endpoint.(eg., For AWS - http://<b\n ucket_name>.s3-website.<region_name>.amazonaws.com/)\n [required]\n --bucket-name TEXT Bucket name where Kedro Viz will be hosted [required]\n --include-hooks A flag to include all registered hooks in your Kedro\n Project\n --include-previews A flag to include preview for all the datasets\n -h, --help Show this message and exit.\n```\n\nTo create a build directory of your local Kedro-Viz instance with static data from the command line, use the following command from the root folder of your Kedro project:\n\n```bash\nkedro viz build\n```\n\n```bash\nUsage: kedro viz build [OPTIONS]\n\n Create build directory of local Kedro Viz instance with Kedro project data\n\nOptions:\n --include-hooks A flag to include all registered hooks in your Kedro\n Project\n --include-previews A flag to include preview for all the datasets\n -h, --help Show this message and exit.\n```\n\n### Experiment Tracking usage\n\nTo enable [experiment tracking](https://docs.kedro.org/en/stable/experiment_tracking/index.html) in Kedro-Viz, you need to add the Kedro-Viz `SQLiteStore` to your Kedro project.\n\nThis can be done by adding the below code to `settings.py` in the `src` folder of your Kedro project.\n\n```python\nfrom kedro_viz.integrations.kedro.sqlite_store import SQLiteStore\nfrom pathlib import Path\nSESSION_STORE_CLASS = SQLiteStore\nSESSION_STORE_ARGS = {\"path\": str(Path(__file__).parents[2] / \"data\")}\n```\n\nOnce the above set-up is complete, tracking datasets can be used to track relevant data for Kedro runs. More information on how to use tracking datasets can be found in the [experiment tracking documentation](https://docs.kedro.org/en/stable/experiment_tracking/index.html)\n\n**Notes:**\n\n- Experiment Tracking is only available for Kedro-Viz >= 4.0.2 and Kedro >= 0.17.5\n- Prior to Kedro 0.17.6, when using tracking datasets, you will have to explicitly mark the datasets as `versioned` for it to show up properly in Kedro-Viz experiment tracking tab. From Kedro >= 0.17.6, this is done automatically:\n\n```yaml\ntrain_evaluation.r2_score_linear_regression:\n type: tracking.MetricsDataset\n filepath: ${base_location}/09_tracking/linear_score.json\n versioned: true\n```\n\n### Standalone React component usage\n\nTo use Kedro-Viz as a standalone React component, you can follow the example below. However, please note that Kedro-Viz does not support server-side rendering (SSR). If you're using Next.js or another SSR framework, you should be aware of this limitation.\n\n```javascript\nimport KedroViz from '@quantumblack/kedro-viz';\nimport '@quantumblack/kedro-viz/lib/styles/styles.min.css';\n\nconst MyApp = () => (\n <div style={{height: `100vh`}}>\n <KedroViz\n data={json}\n options={/* Options to configure Kedro Viz */}\n />\n </div>\n);\n```\n\nTo use with NextJS:\n\n```javascript\nimport '@quantumblack/kedro-viz/lib/styles/styles.min.css';\nimport dynamic from 'next/dynamic';\n\nconst NoSSRKedro = dynamic(() => import('@quantumblack/kedro-viz'), {\n ssr: false,\n});\n\nconst MyApp = () => <NoSSRKedro data={json} />;\n```\n\nThe JSON can be obtained by running:\n\n```bash\nkedro viz run --save-file=filename\n```\n\nWe also recommend wrapping the `Kedro-Viz` component with a parent HTML/JSX element that has a specified height (as seen in the above example) in order for Kedro-Viz to be styled properly.\n\nFor more information on how to use Kedro-Viz as a React component, follow this [guide](https://www.npmjs.com/package/@quantumblack/kedro-viz)\n\n**_Our documentation contains [additional examples on how to visualise with Kedro-Viz.](https://docs.kedro.org/en/stable/visualisation/index.html)_**\n\n## Kedro-Viz in Visual Studio Code Extension\n\nTo visualize Kedro project using Kedro-Viz in Visual Studio Code, please install Kedro extension in Visual Studio Code.\n\nFor more information on how to use Kedro-Viz in Visual Studio Code, follow this [guide](https://marketplace.visualstudio.com/items?itemName=kedro.Kedro)\n\n## Feature Flags\n\nKedro-Viz uses features flags to roll out some experimental features. No feature flags are currently in use.\n\nTo enable or disable a flag, click on the settings icon in the toolbar and toggle the flag on/off.\n\nKedro-Viz also logs a message in your browser's [developer console](https://developer.mozilla.org/en-US/docs/Learn/Common_questions/What_are_browser_developer_tools#The_JavaScript_console) to show the available flags and their values as currently set on your machine.\n\n\n## Python version support policy\nKedro Viz supports all Python versions that are actively maintained by the CPython core team. When a [Python version reaches end of life](https://devguide.python.org/versions/#versions), support for that version is dropped from Kedro-viz. This is not considered a breaking change.\n\n## Maintainers\n\nKedro-Viz is maintained by the [Kedro team](https://docs.kedro.org/en/stable/contribution/technical_steering_committee.html#kedro-maintainers) and a number of [contributors from across the world](https://github.com/kedro-org/Kedro-Viz/contributors).\n\n## Contribution\n\nIf you want to contribute to Kedro-Viz, please check out our [contributing guide](./CONTRIBUTING.md).\n\n## License\n\nKedro-Viz is licensed under the [Apache 2.0](https://github.com/kedro-org/kedro-viz/blob/main/LICENSE.md) License.\n\n## Citation\n\nIf you're an academic, Kedro-Viz can also help you, for example, as a tool to visualise how your publication's pipeline is structured. Find our citation reference on [Zenodo](https://doi.org/10.5281/zenodo.4277218).\n",
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"coveralls": false,
"github_actions": true,
"lcname": "kedro-viz"
}
JSON
