Our verdict
We have not reviewed Deepchecks yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About Deepchecks
Deepchecks is an open-source Python library for continuous validation of machine learning models and data. It provides tests to check data and model quality from research through production.
Best for
Teams needing open-source validation for ML models and data from research to production
Use cases
- Validating training data for issues
- Testing model performance before deployment
- Monitoring production models for data drift
Notes
4,017 stars on GitHub. Last updated 2025-12-28.
Pros
- Open-source and free to use
- Covers both data and model validation
- Integrates into existing ML pipelines
Cons
- Community support only
- Requires Python environment
- May have learning curve for comprehensive testing
Key facts
What we have checked
- Latest version
- 0.19.1 (released 15 Dec 2024)
- GitHub stars
- 4,056
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How Deepchecks is growing
4,017 to 4,056
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 0.19.1
Released 0.19.0
Released 0.18.1
Released 0.18.0
Released 0.17.5
Released 0.17.4
Released 0.17.3
Released 0.17.2
Released 0.17.1
Released 0.17.0
Pairs with
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