kedro-viz
Kedro-Viz helps visualise Kedro data and analytics pipelines
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.10 and an existing Kedro project with configured pipelines; designed to run from the Kedro project root directory.
- 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 · maintenance · safety
permissive license (permissive) — Apache 2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects without licensing concerns.
last release 2026-05-27 (79 days) · last repo commit 2026-08-14 · 753 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,267,939 downloads/mo, #4,135 on PyPI
Alternatives
Verify before relying
pip install kedro-viz
# In a Kedro project root:
kedro viz run
# Opens http://127.0.0.1:4141/ automatically- 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
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 on it.
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
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.
Requires Python >=3.10 and an existing Kedro project with configured pipelines; designed to run from the Kedro project root directory.
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/ automaticallyVerify 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
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 18 packagesaiofilesclick-default-groupfastapifsspecipythonkedro-telemetrykedronetworkxorjsonpackagingpandaspathspecplotlypydanticsecureuvicornwatchfileswerkzeug |
| Maintenance | Actively maintained 79 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,267,939 / month, #4,135 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: kedro_viz-12.4.0-py3-none-any.whl
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See also kedro · kedro-datasets · kedro-telemetry · plotly · reflex-components-plotly · chart-studio · visualdl · kfp · snakeviz · apache-beam