The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 3 Python machine-learning-engineering Projects
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Kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
Interesting, thanks for sharing. I'll definitely take a look, although at this point I am so comfortable with Snakemake, it is a bit hard to imagine what would convince me to move to another tool. But I like the idea of composable pipelines: I am building a tool (too early to share) that would allow to lay Snakemake pipelines on top of each other using semi-automatic data annotations similar to how it is done in kedro (https://github.com/kedro-org/kedro).
Lots of good projects on https://github.com/kelvins/awesome-mlops too
Project mention: Frouros: An open-source Python library for drift detection in machine learning | news.ycombinator.com | 2024-04-06
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A note from our sponsor - WorkOS
workos.com | 28 Apr 2024
Index
What are some of the best open-source machine-learning-engineering projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | Kedro | 9,353 |
2 | awesome-mlops | 3,575 |
3 | frouros | 160 |
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