Kedro is an open-sourced Python framework for creating maintainable and modular data science code.

Kedro

Hi <!channel>, we are thrilled to announce some new releases.
:mega: Kedro *`0.18.12`* is now available! :kedro: and so are *kedro-datasets `1.5.1`* &amp;  *kedro-airflow `0.6.0`* :mega:

&gt; TLDR: In the new release of Kedro, we introduce the dataset factories feature, activated all built-in resolvers by default for OmegaConfigLoader (except for oc.env), and added a new CLI command to rank dataset factories. We made some important bug fixes and updated the documentation, notably recommending ruff as the linter.
See the :thread: for details of each release.

We welcome every community contribution, large or small. See <https://github.com/orgs/kedro-org/projects/2|what we're working on now> and <https://github.com/kedro-org/kedro/issues|report bugs or suggest future features>.

Until next time,
The Kedro Team :yellow_heart:

:kedro: *Kedro `0.18.2` is out now!* :kedro:

Kedro *0.18.12* is a **non-breaking release** in the 0.18.x series, which means you can upgrade with:
`pip install kedro==0.18.12`
or
`conda/mamba/micromamba install -c conda-forge kedro=0.18.12`

:rocket: *Major Features and improvements*
• Added dataset factories feature, which uses pattern matching to reduce the number of catalog entries. Check out <https://docs.kedro.org/en/stable/data/data_catalog.html#load-multiple-datasets-with-similar-configuration-using-dataset-factories|the feature documentation> on how to use it!
• Activated all built-in resolvers by default for `OmegaConfigLoader`, except for `oc.env`.
• Introduced a new CLI command `kedro catalog rank` that ranks dataset factories in the catalog by their matching priority.
:beetle: *Bug fixes and other changes*
• Consolidated dependencies and optional dependencies in `pyproject.toml`.
• Made validation of unique node outputs much faster.
• Updated `kedro catalog list` to show datasets generated with factories.
:writing_hand: *Documentation changes*
• Recommended ruff as the linter and removed mentions of `pylint`, `isort`, `flake8`.
:warning: *Upcoming deprecations*
• `ConfigLoader` and `TemplatedConfigLoader` will be deprecated in Kedro 0.19.0. Please use `OmegaConfigLoader` instead.
:love_letter: *Community contributions*
A big thank you to <@U05J0LUB4BE> and <@U053Q8DRKT3> for their contributions to Kedro!

:kedro: *kedro-datasets `1.5.1` is out now!* :kedro:

:rocket: *What’s new in `kedro-datasets`?*
• Implemented lazy loading of dataset subpackages and classes and improved error messages for missing dataset dependencies.
• Added `pandas.DeltaTableDataSet`.
• Added automatic inference of file format for `pillow.ImageDataSet` to be passed to `save()`.
:love_letter: *Community contributions*
A big thank you to <https://github.com/daniel-falk|@daniel-falk>, <@U05C7A123QF> and <@U04CBQHUWQ2> for their contributions to `kedro-datasets`!

:kedro: *kedro-airflow `0.6.0` is out now!* :kedro:

:rocket: *What’s new in `kedro-airflow`?*
• Added option to configure DAG kwargs using `airflow.yml`
• Included help for CLI arguments (see `kedro airflow create --help`)
• Added additional CLI argument `--params` to pass configuration to the Jinja2 template.
• Migrated all the project metadata to static `pyproject.toml`.
:love_letter: *Community contributions*
 A big thank you to <https://github.com/sbrugman|@sbrugman> for their contributions to `kedro-airflow` !

FYI: <@U03U16X2ZBL> <@U03VB6J9PGR> <@U03SBFFJNB0> <@U0421KY00DQ> <@U03UC91PLHG> <@U04HQRFPM0C> <@U054D1CBU65> <@U049L0W5GN8> <@U045L91RV9D> - thanks all for participating in the dataset factories research! The feature is now released, so let us know what you think :smile: