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Kedro Kedro-Viz Kedro-Datasets
kedro-viz
11.0

Learn about Kedro-Viz

  • How to visualise a Kedro project
    • Visualise a Kedro project without installing project dependencies
    • Automatic visualisation updates
    • Visualise layers
    • Share a pipeline visualisation
    • Running Kedro-viz in a notebook.
      • %run_viz line magic
        • Optional Arguments
      • NotebookVisualizer
        • Usage
        • Visualisation options
    • As a standalone React component
    • Kedro-Viz in Visual Studio Code Extension
  • Publish and share Kedro-Viz
    • Platform-agnostic sharing with Kedro-Viz
      • Setup your kedro project
      • Running Kedro-Viz Locally
      • Static website hosting platforms such as GitHub Pages
    • Publish and share on AWS
      • Setup your kedro project
      • Install cloud dependencies
      • Configure your AWS S3 bucket
      • Set credentials
      • Publish and share the project
        • Publish and share via Kedro-Viz UI
      • Set up endpoint
        • Publish and share via CLI
      • Permissions and access control
      • Billing
    • Publish and share on Azure
      • Setup your kedro project
      • Install cloud dependencies
      • Configure your Azure Blob Storage
      • Set credentials
      • Publish and share the project
        • Publish and share via Kedro-Viz UI
      • Set up endpoint
        • Publish and share via CLI
      • Permissions and access control
      • Billing
    • Publish and share on GCP
      • Setup your kedro project
      • Install cloud dependencies
      • Configure your Google Cloud Storage
      • Set credentials
      • Publish and share the project
        • Publish and share via Kedro-Viz UI
      • Set up endpoint
        • Publish and share via CLI
      • Permissions and access control
        • Billing
    • Filtering and sharing Kedro-Viz pipelines
  • Preview datasets in Kedro-Viz
    • Preview Matplotlib charts in Kedro-Viz
      • Update the dependencies
      • Configure the Data Catalog
      • Add another node
      • Update the pipeline
      • Run the pipeline
    • Preview Plotly charts in Kedro-Viz
      • Update the dependencies
      • Configure the Data Catalog
      • Create the template reporting pipeline
        • Add the Plotly reporting nodes
        • Update the reporting pipeline code
      • Run the pipeline
    • Preview tabular data in Kedro-Viz
      • Configure the Data Catalog
      • Previewing data on Kedro-Viz
    • Extend preview to custom datasets
      • TablePreview
      • ImagePreview
      • PlotlyPreview
      • JSONPreview
    • Disabling Previews
  • Slice a pipeline
    • Benefits of Kedro-Viz slicing
    • Steps to slice in Kedro-Viz
  • Migration from Kedro-Viz native experiment tracking to kedro-mlflow
    • Remove deprecated Kedro-Viz experiment tracking configurations
      • 1. Remove session store setup
      • 2. Remove environment variables
      • 3. Delete SQLite database
    • Update dataset configurations in catalog to use kedro-mlflow
      • Dataset migration table
      • Metrics dataset
      • JSON dataset
      • Plotly dataset
      • Matplotlib writer
    • [Optional] Delete old tracking data
    • Refer to the kedro-mlflow documentation for further setup

Other Documentation

  • Kedro Viz CLI reference
    • Commands
      • kedro viz
      • kedro viz run
      • kedro viz deploy
      • kedro viz build
    • Examples
      • Running Kedro Viz locally
      • Deploying Kedro Viz to AWS
      • Building Kedro Viz to host on multiple platforms
      • Kedro-viz directory structure when you save it as a file
kedro-viz
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