Monthly downloads
342
Weekly downloads
118
GitHub stars
13
Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.
Package Information
Latest Version
Requires Python
>=3.10
Licence
Unknown
Last Release
1 year ago
Author
Joeran Bosma, Clément Grisi, Marina D`Amato, Luc Builtjes, Lena Philipp, Fennie van der Graaf, Judith Lefkes, Michelle Stegeman, Rianne Weber
First Release
April 30, 2025
Total Releases
15
Python Versions
3
3.10
3.11
3.12
3.13
No reported malware or high/critical advisories · Details
The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
Package Insights
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
40
Popularity
27
Adoption
25
Community
50
Provenance
0
How the maintenance status was determined
Last commit
252 days ago
Monthly downloads
342
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
342
Stars
13
Stars per 1k downloads
38.01
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
Needs at least 1,000 monthly downloads to classify popularity.
How download momentum is calculated
Week daily avg
17
Month daily avg
11
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
More insights and metrics
Python version support tiers
requires_python
>=3.10
Cutting Edge
Minimum supported version is 3.14 or newer
Modern
Minimum supported version is 3.11 to 3.13
•
Legacy
Supports 3.10 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
Not specified
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
Package does not declare a license.
How the release cadence was determined
Last release
464 days ago
Total releases
15
Releases/year
10.3
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
18
Monthly downloads
342
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
47
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
150.0%
contrib / forks
Stale Release
212d
PR Velocity
Quiet
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
No OS data available
Python Versions
No Python version data available
Top Countries
1.
US
2
US
2.
DE
1
DE
Weekly Downloads
GitHub Stars
Dependencies
20
- einops
- einops-exts
- environs
- llm-extractinator
- matplotlib
- numba
- numpy <2
- opencv-python
- pandas
- pillow
- sacremoses
- safetensors
- scipy
- simpleitk
- timm
- torch
- torchvision
- tqdm
- transformers
- wholeslidedata <0.0.16
5 optional dependencies
-
flake8>=3.9[testing]extra == "testing"
-
mypy>=0.910[testing]extra == "testing"
-
pytest>=6.0[testing]extra == "testing"
-
pytest-cov>=2.0[testing]extra == "testing"
-
tox>=3.24[testing]extra == "testing"
Used By
0
Not used by any tracked packages
Data and sources
Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh