Release 1.0.0 · kedro-org/kedro

Major features and improvements

The previously experimental KedroDataCatalog has been renamed to DataCatalog and is now the default catalog implementation.
It retains the dict-like interface, supports lazy dataset initialisation, and delivers improved performance.
While this change is seamless for users following standard Kedro workflows, it introduces a richer API for programmatic use:
- New pipeline-aware commands, available via both the CLI and interactive environments.
- Simplified handling of dataset factories.
- Centralised pattern resolution via the CatalogConfigResolver property.
- Ability to serialise the catalog to configuration and reconstruct it from it.

Added support for running multiple namespaces within a single session with --namespaces CLI option and namespaces argument in KedroSession.run() method.
Improved namespace validation efficiency to prevent significant slowdowns when creating large pipelines.
Added stricter validation to dataset names in the Node class, ensuring . characters are reserved to be used as part of a namespace.
Added a prefix_datasets_with_namespace argument to the Pipeline class which allows users to turn on or off the prefixing of the namespace to the node inputs, outputs, and parameters.
Changed pipeline filtering for namespace to return exact namespace matches instead of partial matches.

Changed the default node name to be formed of the function name used in the node suffixed by a secure hash (SHA-256) based on the function, inputs, and outputs, ensuring uniqueness and improved readability.
Added an option to select which multiprocessing start method is going to be used on ParallelRunner via the KEDRO_MP_CONTEXT environment variable.
Added --only-missing-outputs CLI flag to kedro run. This flag skips nodes when all their persistent outputs exist.
Updated kedro registry describe to return the node name property instead of creating its own name for the node.
Removed pre-commit-hooks dependency for new project creation.

kedro catalog create command has been removed.
kedro catalog list, kedro catalog rank, and kedro catalog resolve commands have been replaced with kedro catalog describe-datasets, kedro catalog list-patterns and kedro catalog resolve-patterns commands, respectively.
The kedro run option --namespace has been removed and replaced with --namespaces.
The kedro micropkg CLI command has been removed as part of the micro-packaging feature deprecation.

Private methods _is_project and _find_kedro_project are changed to is_kedro_project and find_kedro_project.
Renamed instances of extra_params and _extra_params to runtime_params.
Removed the modular_pipeline module and moved functionality to the pipeline module instead.
Renamed ModularPipelineError to PipelineError.
Pipeline.grouped_nodes_by_namespace() was replaced with group_nodes_by(group_by), which supports multiple strategies and returns a list of GroupedNodes, improving type safety and consistency for deployment plugin integrations.
Renamed session_id parameter to run_id in all runner methods and hooks to improve API clarity and prepare for future multi-run session support.
Removed the following DataCatalog methods: _get_dataset(), add_all(), add_feed_dict(), list(), and shallow_copy().
Changed the output of runner.run() and session.run() — it now always returns all pipeline outputs, regardless of catalog configuration.
Removed the AbstractRunner.run_only_missing() method, an older and underused API for partial runs. Please use --only-missing-outputs CLI instead.

Revamped the look and feel of the Kedro documentation, including a new theme and improved navigation with mkdocs as the documentation engine.
Updated the DataCatalog documentation with improved structure and detailed description of new features. Read the DataCatalog documentation here.

Many thanks to the following Kedroids for contributing PRs to this release: