Package Insights
Package Risks
- High downloads but no recent maintenance activity
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
40
Popularity
77
Adoption
95
Community
40
How the maintenance status was determined
Last commit
1180 days ago
Monthly downloads
371,401
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
371,401
Stars
4,206
Stars per 1k downloads
11.32
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
15,600
Month daily avg
12,380
Momentum
+26.0%
((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
1180 days ago
Total releases
26
Releases/year
2.6
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
16
Monthly downloads
371,401
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
43
Issue Burden
3.1
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
3.0%
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
8.1K
Windows
496
macOS
234
Python Versions
3.12
59.7%
4.9K
3.11
19.6%
1.6K
3.10
8.2%
674
3.7
7.3%
603
3.13
5.2%
431
Top Countries
1.
US
7.3K
US
2.
BR
526
BR
3.
HU
381
HU
4.
SG
229
SG
5.
IE
113
IE
6.
GB
107
GB
7.
IN
99
IN
8.
NL
89
NL
9.
DE
80
DE
10.
CN
46
CN
Dependencies
0
No dependencies
Used By
54
- dtale
- sequenzo
- pandas-plots
- bamt
- xdat
- ehrapy
- jianglab
- synomicsbench
- datascrubber
- edaflow
- aestene-lib
- automatedcleaning
- autoimpute
- tsad
- vizify
- datalabx
- saddle-ml
- evol-aiq
- nglm-ai
- mdatagen
- analysis-tools
- dataninja
- bamt-light
- bvista
- student-success-tool
- exploration-stats
- pydbsmgr
- proteoflux
- idsw
- eri
- imperfekt
- svlearn
- textdatavisualizationgv
- insightfulpy
- gargaml
- saddlellm
- gacels
- dtale-cn
- smarteda
- okmesopy
- dxc-ai-test-3
- csvinspector
- datalabx-pre-release
- sanitipy
- pycateda
- dxc-ai-test
- majora
- autoview
- zaaw-algo-ml
- pandaslearn
GitHub Topics
Tags from the package's GitHub repository describing what it does.
Package Information
License
MIT License
First Release
March 28, 2016
Last Release
3 years ago
Last Commit
3 years ago
Latest Version
0.5.2
Total Releases
26
Contributors
16
Open PRs
2
Archived
No
Author
Aleksey Bilogur
Wheels
py3
Tracking Since
January 6, 2026
Data Updated
May 17, 2026
Data Freshness
Fresh