Are you a data scientist who wants to contribute to open source?
Join us for Hacktoberfest to add new data drift metrics and tests to the Evidently open-source library.
We'll send the kickoff email and detailed contributor
instructions by October 1st.
Evidently is an open-source Python library for data scientists and ML engineers. It helps evaluate, test, and monitor the performance of ML models from validation to production. You can check it out on GitHub or explore the documentation.
Hacktoberfest is an annual event to celebrate open-source and encourage contributions. It runs for the 9th time this year. Eligible participants will get prizes from DigitalOcean. But first and foremost, it is a great reason to create your first (or hundredth) pull request! You can check out the complete rules here.
Evidently is an open-source project, and is always open for contributions. You can check out our contribution guide. For Hacktoberfest, we will work on a special project where we ask contributors to add different statistical metrics and tests to detect data drift for production machine learning models. We’ll provide clear guidelines and examples. Coming soon! Sign up to receive the kick-off newsletter.
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