kedro-serving 0.0.1

A kedro plugin to serve kedro pipelines

General informations

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Software repository	Latest release	Total downloads
Pypi

Code health

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Branch	Tests	Coverage	Links	Documentation	Deployment	Activity
main

What is kedro-serving?

kedro-serving is a kedro-plugn for serving kedro pipelines. It aims to be easy to use, flexible, robust to be production ready. As it is in its early stage of developpement, it is highly discouraged to use it for production in its current state.

Coming soon:

• enable parameters injection at runtime
• supporting other inputs than pandas dataframe
• documentation & examples
• support for production-ready ASGI server (e.g., gunicorn)
• extended configuration for artifacts
• tests

How do I install kedro-serving?

kedro-serving is available on PyPI, so you can install it with pip:

pip install kedro-serving

If you want to use the most up to date version of the package which is under development and not released yet, you can install the package from github:

pip install --upgrade git+https://github.com/Galileo-Galilei/kedro-serving.git

Getting started

Documentation coming soon...

Release and roadmap

The release history centralizes packages improvements across time. The main features coming in next releases are listed on github milestones. Feel free to upvote/downvote and discuss prioritization in associated issues.

Disclaimer

This package is still in active development. We use SemVer principles to version our releases. Until we reach 1.0.0 milestone, breaking changes will lead to <minor> version number increment, while releases which do not introduce breaking changes in the API will lead to <patch> version number increment.

If you want to see how to migrate from one version of kedro-serving to another, see the migration guide.

Can I contribute?

We'd be happy to receive help to maintain and improve the package. Any PR will be considered (from typo in the docs to core features add-on) Please check the contributing guidelines.

Main contributors

The following people actively maintain, enhance and discuss design to make this package as good as possible:

• Yolan Honoré-Rougé