
deepchecks
by deepchecks (organization)
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. (description from the project’s GitHub page)
Repository facts
- Stars
- 4,064
- Forks
- 300
- Open issues and pull requests
- 270
- Primary language
- Python
- License
- Other license
- Owner
- deepchecks · Organization
- Created
- Oct 11, 2021
- Last push
- Dec 28, 2025
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 1,019: evidentlyai/evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
7,997 starsJupyter NotebookApache-2.0Last push Sep 29, 2026
Rank 3,449: NannyML/nannyml
nannyml: post-deployment data science in python
2,160 starsPythonApache-2.0Last push Jul 12, 2025
Rank 591: Data-Centric-AI-Community/fg-data-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
13,727 starsPythonMITLast push Sep 11, 2026
Rank 1,287: aimhubio/aim
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
6,287 starsPythonApache-2.0Last push Oct 17, 2026
Rank 1,446: zenml-io/zenml
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
5,620 starsPythonApache-2.0Last push Oct 16, 2026
Rank 831: pycaret/pycaret
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
9,855 starsPythonOther licenseLast push Jul 23, 2026