🚀Excited to announce Evidently 0.2, a stable version of our open-source ML monitoring tool.
GitHub: github.com/evidentlyai/ev
Blog: evidentlyai.com/blog/evidently
Tutorial: docs.evidentlyai.com/tutorial/
39 releases, 1.5m downloads, and a Big Refactoring later, here what Evidently is 👇
Conversation
Replying to
📚An open-source library of ML evaluation metrics and tests.
Evidently has over 100 tests and metrics to evaluate data quality, data drift, or ML model performance.
Each comes with relevant parameters, clean API, and helpful visualization.
Expect more!
(2/4)
1
3
📊 A customizable framework for batch model checks.
You can mix and match these evaluation “lego bricks” to fit your monitoring scenario.
You can also implement your tests and metrics while re-using the underlying Evidently architecture to structure your evaluations.
(3/4)
2
4
A lot of cool stuff is in the works:
📈More evaluations
⭐️Spark integration
🔡Text data support
If you like what we do, support Evidently by giving a ⭐️ on GitHub, and join us to celebrate!
GitHub: github.com/evidentlyai/ev
Event on Dec 15: lu.ma/lqo2oi0i
(4/4)
2
1
7
