kedro-datasets-6.0.0

Major features and improvements

• Supported passing database to ibis.TableDataset for load and save operations.
• Added functionality to save pandas DataFrames directly to Snowflake, facilitating seamless .csv ingestion.
• Added Python 3.9, 3.10 and 3.11 support for snowflake.SnowflakeTableDataset.
• Enabled connection sharing between ibis.FileDataset and ibis.TableDataset instances, thereby allowing nodes to save data loaded by one to the other (as long as they share the same connection configuration).
• Added the following new experimental datasets:

Type	Description	Location
databricks.ExternalTableDataset	A dataset for accessing external tables in Databricks.	kedro_datasets_experimental.databricks
safetensors.SafetensorsDataset	A dataset for securely saving and loading files in the SafeTensors format.	kedro_datasets_experimental.safetensors

Bug fixes and other changes

• Delayed backend connection for pandas.GBQTableDataset. In practice, this means that a dataset's connection details aren't used (or validated) until the dataset is accessed. On the plus side, the cost of connection isn't incurred regardless of when or whether the dataset is used. Furthermore, this makes the dataset object serializable (e.g. for use with ParallelRunner), because the unserializable client isn't part of it.
• Removed the unused BigQuery client created in pandas.GBQQueryDataset. This makes the dataset object serializable (e.g. for use with ParallelRunner) by removing the unserializable object.
• Implemented Snowflake's local testing framework for testing purposes.
• Improved the dependency management for Spark-based datasets by refactoring the Spark and Databricks utility functions used across the datasets.
• Added deprecation warning for tracking.MetricsDataset and tracking.JSONDataset.
• Moved kedro-catalog JSON schemas from Kedro core to kedro-datasets.

Breaking Changes

• Demoted video.VideoDataset from core to experimental dataset.
• Removed file handling capabilities from ibis.TableDataset. Use ibis.FileDataset to load and save files with an Ibis backend instead.

Community contributions

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

• Thomas d'Hooghe
• Minura Punchihewa
• Mark Druffel
• Chris Schopp

kedro-telemetry-0.6.2

• Removed support for Python 3.8
• Added support for Python 3.13

Thanks for supporting contributions

• Felix Scherz

kedro-docker-0.6.2

Major features and improvements

• Added support for Python 3.13
• Removed support for python 3.8
• Switch dependency management to uv.

Thanks for supporting contributions

• Felix Scherz
• Minura Punchihewa

kedro-airflow-0.9.2

• Removed support for Python 3.8

Community contributions

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

• Felix Scherz

kedro-datasets-5.1.0

Major features and improvements

• Added the following new core datasets:

Type	Description	Location
ibis.FileDataset	A dataset for loading and saving files using Ibis's backends.	kedro_datasets.ibis

Bug fixes and other changes

• Changed Ibis datasets to connect to an in-memory DuckDB database if connection configuration is not provided.

kedro-datasets-5.0.0

Major features and improvements

• Removed support for Python 3.9
• Added the following new experimental datasets:

Type	Description	Location
pytorch.PyTorchDataset	A dataset for securely saving and loading PyTorch models	kedro_datasets_experimental.pytorch
prophet.ProphetModelDataset	A dataset for Meta's Prophet model for time series forecasting	kedro_datasets_experimental.prophet

• Added the following new core datasets:

Type	Description	Location
plotly.HTMLDataset	A dataset for saving a plotly figure as HTML	kedro_datasets.plotly

Bug fixes and other changes

• Refactored all datasets to set fs_args defaults in the same way as load_args and save_args and not have hardcoded values in the save methods.
• Fixed bug related to loading/saving models from/to remote storage using TensorFlowModelDataset.
• Fixed deprecated load and save approaches of GBQTableDataset and GBQQueryDataset by invoking save and load directly over pandas-gbq lib
• Fixed incorrect pandas optional dependency

Breaking Changes

• Exposed load and save publicly for each dataset. This requires Kedro version 0.19.7 or higher.
• Replaced the geopandas.GeoJSONDataset with geopandas.GenericDataset to support parquet and feather file formats.

Community contributions

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

• Brandon Meek
• yury-fedotov
• gitgud5000
• janickspirig
• Galen Seilis
• Mariusz Wojakowski
• harm-matthias-harms
• Felix Scherz

kedro-telemetry-0.6.1

• Changed Kedro CLI loading method to improve loading times.
• Changed logging level from error to debug for most logging messages.
• Set default value for the identity parameter, to prevent errors due to it being empty.

kedro-docker-0.6.1

• Unpinned pip version requirement

kedro-telemetry-0.6.0

• Moved to an opt-out model for telemetry, enabling it by default without requiring prior consent.
• Added DO_NOT_TRACK and KEDRO_DISABLE_TELEMETRY environment variables to skip telemetry.
• Reduced the number of events sent to Heap by eliminating duplicate events, improving efficiency.
• Enhanced telemetry functionality to support Kedro commands executed outside of Kedro project folders.

kedro-datasets-4.1.0

Major features and improvements

• Improved partitions.PartitionedDataset representation when printing.

Bug fixes and other changes

• Updated ibis.TableDataset to make sure credentials are not printed in interactive environment.

Breaking Changes

Community contributions