kedro-viz

What it is and what it does

Kedro-Viz is a web-based development tool that visualizes Kedro data pipelines in an interactive browser interface. It displays pipeline structure, node dependencies, parameters, and dataset metadata in a searchable, filterable view with support for light and dark themes. The tool runs as a local development server (defaulting to port 4141) and can autoreload when code changes.

The package integrates as a Kedro plugin via the `kedro viz run` command and also supports standalone deployment to cloud platforms (AWS, Azure, GCP) via `kedro viz deploy`, or static builds via `kedro viz build`. It depends on FastAPI and Uvicorn for the server, Plotly for chart rendering, and Kedro itself for pipeline introspection. The tool is designed for data scientists and engineers building and debugging complex data pipelines.

Use it for:

• Explore and understand the structure of a Kedro pipeline during development without reading YAML configuration files
• Debug pipeline dependencies and data flow by interactively filtering and searching nodes and parameters
• Share pipeline visualizations with stakeholders by deploying to AWS S3, Azure, or GCP using the deploy command
• Embed pipeline visualization in a web application as a React component (via npm package @quantumblack/kedro-viz)
• Monitor pipeline changes in real-time during development using autoreload when Python or YAML files change
• Generate static HTML builds of pipeline visualizations for documentation or offline sharing

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Kedro-Viz is an interactive web-based visualization tool for Kedro data science pipelines that displays pipeline structure, parameters, and metadata in a searchable, filterable interface.

Yes, if you use Kedro for data pipelines. The tool is actively maintained, has no known vulnerabilities, low install friction, and solves a real problem—visualizing complex pipeline dependencies interactively. The permissive Apache 2.0 license poses no restrictions. Install it as a standard Kedro plugin; the only constraint is Python >=3.10.

Install

kedro-viz on PyPI

pip install kedro-viz

uv add kedro-viz

poetry add kedro-viz

Installing kedro-viz

Before you install

Low install friction with a pure Python wheel distribution. Active maintenance with recent releases; last commit 2026-08-14 and 753 repository stars indicate ongoing development and community use.

License in practice

Apache 2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects without licensing concerns.

Quickstart

pip install kedro-viz

# In a Kedro project root:
kedro viz run

# Opens http://127.0.0.1:4141/ automatically

Requires Python >=3.10 and an existing Kedro project with configured pipelines; designed to run from the Kedro project root directory.

Verify before relying

• Whether the package scales to 'hundreds of nodes' as claimed in the description without performance degradation
• Specific browser compatibility and minimum versions required for the interactive UI
• Whether autoreload works reliably across different development environments and file system watchers

Package facts

Evidence: kedro_viz-12.4.0-py3-none-any.whl

Keywords: data engineering, data pipelines, data science, machine learning, pipelines, visualisation

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