PyPI Stats
deepchecks

deepchecks

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.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (deepchecks/deepchecks) with 1 other package. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
2.5K
Week
12.9K
Month
57.3K
Stars
4.0K
Forks
294
Issues
253
Version
0.19.1

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
65
Popularity
75
Adoption
57
Community
55
How the maintenance status was determined
Last commit
163 days ago
Monthly downloads
57,296
Active
Activity within 30 days
• Stable
Activity within 31-180 days
Minimal
Activity within 181-365 days, or no activity data
At Risk
No activity for > 365 days, but > 10,000 monthly downloads
Archived
Repository flagged as archived on GitHub
How the popularity category was determined
Monthly downloads
57,296
Stars
4,011
Stars per 1k downloads
70.00
Industry Standard
> 10,000,000 monthly downloads
Hidden Gem
< 0.5 stars per 1k downloads and > 100,000 monthly downloads
• Community Favorite
> 5 stars per 1k downloads
Rising Star
Balanced ratio of stars to downloads
Unknown
Fewer than 1,000 monthly downloads, or no star data
How download momentum is calculated
Week daily avg
1,847
Month daily avg
1,910
Momentum
-3.3%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
Not specified
Cutting Edge
Minimum supported version is 3.12 or newer
Modern
Minimum supported version is 3.9, 3.10, or 3.11
Legacy
Supports 3.8 or older (or Python 2)
• Unknown
No requires_python specified or unparseable
Package does not declare a minimum Python version.
License categories
License
GNU Affero General Public License v3 or later (AGPLv3+)
Permissive
MIT, Apache, BSD, ISC, Unlicense, CC0, etc.
• Copyleft
GPL, LGPL, AGPL, MPL, EPL, etc.
Proprietary
Commercial, all rights reserved, custom EULAs
Unknown
No license specified, or none of the above match
How the release cadence was determined
Last release
507 days ago
Total releases
61
Releases/year
13.5
Rapid
Last release within 365 days and > 12 releases/year
Regular
Last release within 365 days
• Slow
Last release 366-730 days ago
Stalled
Last release > 730 days ago, or no releases
Unknown
No usable release date available
How contributor risk was determined
Contributors
63
Monthly downloads
57,296
High Load
≤ 2 contributors and ≥ 50,000 monthly downloads
Moderate Load
< 10 contributors and ≥ 500,000 monthly downloads
Low Load
< 25 contributors and ≥ 5,000,000 monthly downloads, or sole maintainer with ≥ 10,000 monthly downloads
• Balanced
Enough contributors for the package's popularity
Unknown
No contributor data available
Engagement
69
 
Issue Burden
63.1
per 1k stars
Discussions
3.2
per 1k stars
Fork Ratio
21.4%
contrib / forks
Stale Release
343d
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars

Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 1.1K
Windows 16
macOS 7

Python Versions

3.11
34.1% 372
3.10
30.6% 334
3.9
24.4% 266
3.12
8.7% 95
3.13
2.3% 25

Top Countries

1. US US
783
2. SG SG
265
3. IE IE
74
4. GB GB
9
5. PK PK
9
6. CH CH
8
7. CN CN
8
8. NL NL
8
9. DE DE
6
10. AU AU
3

Dependencies

21
16 optional dependencies

Used By

3

Package Information

License
GNU Affero General Public License v3 or later (AGPLv3+)
First Release
October 28, 2021
Last Release
1 year ago
Last Commit
5 months ago
Latest Version
0.19.1
Total Releases
61
Contributors
63
Open PRs
8
Archived
No
Author
deepchecks
Python Versions
3 3.6 3.7 3.8 3.9 3.10
Wheels
py3
Keywords
Software Development Machine Learning
Topics
machine-learning ml model-validation data-validation mlops data-science python jupyter-notebook model-monitoring data-drift html-report deep-learning pytorch pandas-dataframe
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links