Kedro-Viz helps visualise Kedro data and analytics pipelines, offering a web-based UI to explore the structure and dependencies of projects. The current version is 12.3.0, and it follows a regular release cadence, typically with minor versions every 1-2 months addressing features, bug fixes, and compatibility with the Kedro framework.
pip install kedro-vizVerified import paths — ran on the pinned version, not inferred.
This quickstart demonstrates how to run Kedro-Viz programmatically for a minimal Kedro project. In a real scenario, you would navigate to your Kedro project directory in the terminal and run `kedro viz`, or use `%load_ext kedro.ipython` and then `%run_viz` within a Jupyter notebook.
Upgrade your Python environment to 3.10 or a later supported version. The current minimum is 3.10.
Ensure your Kedro project is upgraded to Kedro 0.19.x or newer (and ideally Kedro 1.x for forward compatibility). Refer to Kedro's migration guides for upgrading your project.
Migrate away from the built-in Experiment Tracking feature. Consider using dedicated MLOps platforms or external tools for experiment tracking.
Always execute `kedro viz` from the root directory of your Kedro project. Verify that your Kedro library version is compatible with your installed `kedro-viz` version.