Package Insights
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
60
Popularity
38
Adoption
27
Community
20
How the maintenance status was determined
Last commit
50 days ago
Monthly downloads
523
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
523
Stars
107
Stars per 1k downloads
204.59
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
18
Month daily avg
17
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.
Python version support tiers
requires_python
>=3.6
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
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
50 days ago
Total releases
7
Releases/year
4.0
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
14
Monthly downloads
523
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
28
Issue Burden
9.3
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
175.0%
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
11
Windows
2
macOS
2
Python Versions
3.10
73.3%
11
3.11
13.3%
2
3.13
13.3%
2
Top Countries
1.
US
18
US
2.
CN
2
CN
3.
SG
2
SG
4.
CA
1
CA
Dependencies
9
- fixedeffectmodel >=0.0.5
- lightgbm >=3.0.0
- matplotlib >=3.3.0
- numpy >=1.3.0
- pandas >=1.1.1
- scikit-learn >=0.24.0
- statsmodels >=0.10.2
- tqdm >=4.40.0
- xgboost >=1.0.0
Used By
0
Not used by any tracked packages
Package Information
License
Unknown
First Release
August 5, 2024
Last Release
1 month ago
Last Commit
1 month ago
Latest Version
0.0.7
Total Releases
7
Contributors
14
Open PRs
0
Archived
No
Author
Xiaoyu Zhou
Wheels
py3
Tracking Since
January 14, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh