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

Kedro

Hi everyone!
We’ve recently released :kedro: *Kedro 1.5.0* :kedro: with some exciting new features - the *Kedro Server API* and the new *KedroServiceSession!*
:mega:  *Read the full blog post here:* <https://kedro.org/blog/kedro-as-a-service|kedro.org/blog/kedro-as-a-service>

We’ve been working on enabling “Kedro as a service” - making Kedro pipelines callable within long-running processes and over HTTP. This unlocks interactive apps, repeated-execution loops, API driven workflows and integration with AI agentic systems. The two new pieces are now available to try:

:globe_with_meridians: *<https://docs.kedro.org/en/stable/extend/serving/|Kedro Server API>* — a FastAPI server with `GET /health`, `POST /run`, and `GET /snapshot`
```uv pip install 'kedro[server]'
kedro server start --host 127.0.0.1 --port 8000```
:repeat: *<https://docs.kedro.org/en/stable/extend/session/|KedroSeviceSession>* — run pipelines repeatedly in one process; state loads once, each run stays isolated:
```with KedroServiceSession.create() as session:
    session.run(runtime_params={"param1": "value1"})
    session.run(runtime_params={"param1": "value2"})```
*We’d love your feedback!* How would you use Kedro as a service? What’s missing for your use case? Drop a comment here or <https://github.com/kedro-org/kedro/issues|open an issue/discussion on GitHub>. :pray: