Kedro

Major features and improvements
* Implemented `KedroDataCatalog.to_config()` method that converts the catalog instance into a configuration format suitable for serialization.
* Improve OmegaConfigLoader performance.
* Replaced `trufflehog` with `detect-secrets` for detecting secrets within a code base.
* Added support for `%load_ext kedro`.

Bug fixes and other changes
* Added validation to ensure dataset versions consistency across catalog.
* Fixed a bug in project creation when using a custom starter template offline.
* Added `node` import to the pipeline template.
* Update error message when executing kedro run without pipeline.
* Safeguard hooks when user incorrectly registers a hook class in settings.py.
* Fixed parsing paths with query and fragment.
* Remove lowercase transformation in regex validation.
* Moved `kedro-catalog` JSON schema to `kedro-datasets`.
* Updated `Partitioned dataset lazy saving` docs page.
* Fixed `KedroDataCatalog` mutation after pipeline run.
* Made `KedroDataCatalog._datasets` compatible with `DataCatalog._datasets`.

Community contributions
Many thanks to the following Kedroids for contributing PRs to this release:
* [Hendrik Scherner](https://github.com/SchernHe)
* [Chris Schopp](https://github.com/chrisschopp)

Major features and improvements
* Add official support for Python 3.13.
* Implemented dict-like interface for `KedroDataCatalog`.
* Implemented lazy dataset initializing for `KedroDataCatalog`.
* Project dependencies on both the default template and on starter templates are now explicitly declared on the `pyproject.toml` file, allowing Kedro projects to work with project management tools like `uv`, `pdm`, and `rye`.

**Note:** ``KedroDataCatalog`` is an experimental feature and is under active development. Therefore, it is possible we'll introduce breaking changes to this class, so be mindful of that if you decide to use it already. Let us know if you have any feedback about the ``KedroDataCatalog`` or ideas for new features.

Bug fixes and other changes
* Added I/O support for Oracle Cloud Infrastructure (OCI) Object Storage filesystem.
* Fixed `DatasetAlreadyExistsError` for `ThreadRunner` when Kedro project run and using runner separately.

Breaking changes to the API
Documentation changes
* Added Databricks Asset Bundles deployment guide.
* Added a new minimal Kedro project creation guide.
* Added example to explain how dataset factories work.
* Updated CLI autocompletion docs with new Click syntax.
* Standardised `.parquet` suffix in docs and tests.

Community contributions
Many thanks to the following Kedroids for contributing PRs to this release:
* [G. D. McBain](https://github.com/gdmcbain)
* [Greg Vaslowski](https://github.com/Vaslo)
* [Hyewon Choi](https://github.com/hyew0nChoi)
* [Pedro Antonacio](https://github.com/antonacio)

Major features and improvements
* Dropped Python 3.8 support.
* Implemented `KedroDataCatalog` repeating `DataCatalog` functionality with a few API enhancements:
* Removed `_FrozenDatasets` and access datasets as properties;
* Added get dataset by name feature;
* `add_feed_dict()` was simplified to only add raw data;
* Datasets' initialisation was moved out from `from_config()` method to the constructor.
* Moved development requirements from `requirements.txt` to the dedicated section in `pyproject.toml` for project template.
* Implemented `Protocol` abstraction for the current `DataCatalog` and adding new catalog implementations.
* Refactored `kedro run` and `kedro catalog` commands.
* Moved pattern resolution logic from `DataCatalog` to a separate component - `CatalogConfigResolver`. Updated `DataCatalog` to use `CatalogConfigResolver` internally.
* Made packaged Kedro projects return `session.run()` output to be used when running it in the interactive environment.
* Enhanced `OmegaConfigLoader` configuration validation to detect duplicate keys at all parameter levels, ensuring comprehensive nested key checking.

**Note:** ``KedroDataCatalog`` is an experimental feature and is under active development. Therefore, it is possible we'll introduce breaking changes to this class, so be mindful of that if you decide to use it already. Let us know if you have any feedback about the ``KedroDataCatalog`` or ideas for new features.

Bug fixes and other changes
* Fixed bug where using dataset factories breaks with `ThreadRunner`.
* Fixed a bug where `SharedMemoryDataset.exists` would not call the underlying `MemoryDataset`.
* Fixed template projects example tests.
* Made credentials loading consistent between `KedroContext._get_catalog()` and `resolve_patterns` so that both use `_get_config_credentials()`

Breaking changes to the API
* Removed `ShelveStore` to address a security vulnerability.

Documentation changes
* Fix logo on PyPI page.
* Minor language/styling updates.


Community contributions
* [Puneet](https://github.com/puneeter)
* [ethanknights](https://github.com/ethanknights)
* [Manezki](https://github.com/Manezki)
* [MigQ2](https://github.com/MigQ2)
* [Felix Scherz](https://github.com/felixscherz)
* [Yu-Sheng Li](https://github.com/kevin1kevin1k)

Major features and improvements
* Made default run entrypoint in `__main__.py` work in interactive environments such as IPyhon and Databricks.

Bug fixes and other changes
* Fixed a bug that caused tracebacks disappeared from CLI runs.
* Moved `_find_run_command()` and `_find_run_command_in_plugins()` from `__main__.py` in the project template to the framework itself.
* Fixed a bug where `%load_node` breaks with multi-lines import statements.
* Fixed a regression where `rich` mark up logs stop showing since 0.19.7.

Breaking changes to the API

Documentation changes
* Add clarifications in docs explaining how runtime parameter resolution works.

Community contributions
Many thanks to the following Kedroids for contributing PRs to this release:
* [cclauss](https://github.com/cclauss)
* [eltociear](https://github.com/eltociear)
* [ltalirz](https://github.com/ltalirz)

Major features and improvements
* Exposed `load` and `save` publicly for each dataset in the core `kedro` library, and enabled other datasets to do the same. If a dataset doesn't expose `load` or `save` publicly, Kedro will fall back to using `_load` or `_save`, respectively.
* Kedro commands are now lazily loaded to add performance gains when running Kedro commands.
* Implemented key completion support for accessing datasets in the `DataCatalog`.
* Implemented dataset pretty printing.
* Implemented `DataCatalog` pretty printing.
* Moved to an opt-out model for telemetry, enabling it by default without requiring prior consent.

Bug fixes and other changes
* Updated error message for invalid catalog entries.
* Updated error message for catalog entries when the dataset class is not found with hints on how to resolve the issue.
* Fixed a bug in the `DataCatalog` `shallow_copy()` method to ensure it returns the type of the used catalog and doesn't cast it to `DataCatalog`.
* Made [kedro-telemetry](https://github.com/kedro-org/kedro-plugins/tree/main/kedro-telemetry) a core dependency.
* Fixed a bug when `OmegaConfigLoader` is printed, there are few missing arguments.
* Fixed a bug when where iterating `OmegaConfigLoader`'s `keys` return empty dictionary.

Breaking changes to the API

Major features and improvements
* Added `raise_errors` argument to `find_pipelines`. If `True`, the first pipeline for which autodiscovery fails will cause an error to be raised. The default behaviour is still to raise a warning for each failing pipeline.
* It is now possible to use Kedro without having `rich` installed.
* Updated custom logging behavior: `conf/logging.yml` will be used if it exists and `KEDRO_LOGGING_CONFIG` is not set; otherwise, `default_logging.yml` will be used.

Bug fixes and other changes
* User defined catch-all dataset factory patterns now override the default pattern provided by the runner.

Breaking changes to the API