Package Insights
Package Risks
- High downloads but no recent maintenance activity
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
30
Popularity
59
Adoption
80
Community
45
How the maintenance status was determined
Last commit
2014 days ago
Monthly downloads
3,912,529
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
3,912,529
Stars
641
Stars per 1k downloads
0.16
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
140,464
Month daily avg
130,418
Momentum
+7.7%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Python 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
MIT License
•
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
2014 days ago
Total releases
10
Releases/year
0.7
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
15
Monthly downloads
3,912,529
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
52
Issue Burden
57.7
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
15.6%
contrib / forks
Stale Release
No
PR Velocity
Quiet
Weekly Downloads
GitHub Stars
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
79.0K
macOS
544
Windows
436
Python Versions
3.10
60.2%
41.4K
3.12
18.4%
12.6K
3.11
12.0%
8.3K
3.9
6.9%
4.7K
3.13
2.6%
1.8K
Top Countries
1.
US
73.3K
US
2.
IN
1.3K
IN
3.
JP
1.1K
JP
4.
NL
764
NL
5.
DE
511
DE
6.
IE
469
IE
7.
SG
434
SG
8.
GB
307
GB
9.
FR
262
FR
10.
CA
232
CA
Dependencies
0
No dependencies
Used By
79
- autofit
- alphafold3-pytorch
- athina
- unique-web-search
- unique-deep-research
- ms-vlmeval
- geonode
- indy-node
- ms-opencompass
- buildrunner
- opencompass
- smart-app-framework
- ibm-aigov-facts-client
- flatland-rl
- blar-graph
- jammy
- panoramix-decompiler
- alphafold3-pytorch-lightning-hydra
- brand
- deepmol
- records-mover
- nv-ppcie-verifier
- locloc
- dtps-http
- aws-lambda-deployment-test-utils
- xenon-fuse
- transcriptformer
- raspcuterie
- mammoth-nlp
- datmo
- aigov-libs
- gilot
- ioos-tools
- frelatage
- panoramix-decompiler-abi
- autobiasdetector
- c3p
- mkdesigner
- nvidia-vlmeval
- pyaskit
- caminopy
- pyproteum
- llm-mathjudger
- happymath
- py-automl-lib
- querius
- zomboid-rcon
- dp-pdf-crawler
- athina-evals
- raichu
GitHub Topics
Tags from the package's GitHub repository describing what it does.
Package Information
License
MIT License
First Release
January 4, 2013
Last Release
5 years ago
Last Commit
5 years ago
Latest Version
0.5.0
Total Releases
10
Contributors
15
Open PRs
6
Archived
No
Author
Patrick Ng
Tracking Since
January 6, 2026
Data Updated
May 17, 2026
Data Freshness
Fresh