KKK Kedro 1.5.0 and Kedro-Datasets 9.5.0 are out! KKK Hi everyone, we’re excited to announce a new Kedro release! 🥳🥳🥳 Kedro 1.5.0 introduces a brand new Server API layer powered by

KedroServiceSession

, a

kedro server start

CLI command, selective pipeline loading, and updated deployment documentation. announcement Read all about Kedro Server API and KedroServiceSession here! https://kedro.org/blog/kedro-as-a-service Kedro-datasets 9.5.0 introduces a security fix to

PyTorchDataset

,

send_individually

option to

APIDataset

and other minor improvements. 🚀 What can you expect in this release? K Kedro K Major features and improvements: • New HTTP Server API layer built on

KedroServiceSession

to execute pipelines from HTTP requests, with endpoints for: -

/run

— run pipelines with optional runtime parameters -

/health

— check the server’s health status -

/snapshot

— retrieve the current project snapshot • New CLI command

kedro server start

to launch the server • Selective pipeline loading: when

--pipelines

is specified, only the requested pipeline modules are imported, speeding up startup • Refreshed the Amazon EMR Serverless, AWS Step Functions, and AWS Batch deployment guides with strategy-first layouts, namespace-based grouping, container image guidance, and end-to-end walkthroughs • And more! Read the release notes for a full list of changes! K Kedro Datasets K • Added `send_individually`option to`APIDataset`to send list items as individual requests instead of batched arrays. • Hardened experimental `pytorch.PyTorchDataset`:`weights_only=True`is now enforced by default on load to block arbitrary code execution from untrusted`.pt`files, user-supplied`load_args`and`save_args`are now correctly passed to`torch.load`and`torch.save`(previously silently dropped), and the misleading “pickle-safe” docstring was corrected. • Fixed`ibis.FileDataset`to support remote filepaths (e.g.

s3://

,

abfss://

,

hf://

) and added an`fs_args`argument to authenticate the filesystem used for version discovery. • And more! Read the release notes for a full list of changes! 🙌 Community contributions: A huge thank you to everyone who contributed to this release: PragnyaKhandelwal, Anton Nikishin, GDaamn, Feng Jikui, Rudra Dudhat, Jean-Baptiste Braun, Gargi, and Simon 🔗 Helpful links • Kedro GitHub repository • Kedro-datasets GitHub repository • <http://(http://docs.kedro.org|Kedro docs> You too can contribute by using these features and providing feedback. Follow our roadmap for more updates, comment on the tickets, and suggest future features to the community. Until next time, The Kedro Team 💛