Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Test and validate your AI models and data continuously to ensure they perform well in production.
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deepchecks has 4k stars on GitHub. It has been forked 300 times. deepchecks is written mainly in Python. It has been in active development since 2021. Its main topics are data-drift, data-science, data-validation, deep-learning.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
deepchecks is an open-source project.
Yes. deepchecks is free and open source — you can use, modify and self-host it.
deepchecks is written mainly in Python.
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