Package Insights
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
10
Popularity
29
Adoption
23
Community
10
How the maintenance status was determined
Last commit
565 days ago
Monthly downloads
223
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
223
Stars
35
Stars per 1k downloads
156.95
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
9
Month daily avg
7
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
<4.0,>=3.10
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
612 days ago
Total releases
2
Releases/year
1.2
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
4
Monthly downloads
223
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
26
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
80.0%
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
No OS data available
Python Versions
No Python version data available
Top Countries
1.
US
9
US
2.
CA
2
CA
Dependencies
32
- absl-py <3.0.0,>=2.1.0
- accelerate <0.32.0,>=0.31.0
- anthropic <0.30.0,>=0.29.0
- astor <0.9.0,>=0.8.1
- backoff <3.0.0,>=2.2.1
- click <9.0.0,>=8.1.7
- diskcache <6.0.0,>=5.6.3
- fastapi <0.112.0,>=0.111.0
- google-generativeai <0.8.0,>=0.7.0
- groq <0.10.0,>=0.9.0
- ipykernel <7.0.0,>=6.29.4
- ipython <9.0.0,>=8.25.0
- langchain <0.3.0,>=0.2.5
- loguru <0.8.0,>=0.7.2
- matplotlib <4.0.0,>=3.9.0
- mistralai <0.5.0,>=0.4.2
- nbclient <0.11.0,>=0.10.0
- nbformat <6.0.0,>=5.10.4
- networkx <4.0,>=3.3
- openai <2.0.0,>=1.35.3
- pandas ==1.5.3
- pillow <11.0.0,>=10.3.0
- pydantic <3.0.0,>=2.7.4
- python-dotenv <2.0.0,>=1.0.1
- rich <14.0.0,>=13.7.1
- scikit-learn <2.0.0,>=1.5.0
- scipy <2.0.0,>=1.13.1
- seaborn <0.14.0,>=0.13.2
- statsmodels <0.15.0,>=0.14.2
- tiktoken <0.8.0,>=0.7.0
- together <2.0.0,>=1.2.3
- transformers <5.0.0,>=4.41.2
Used By
0
Not used by any tracked packages
Package Information
License
Unknown
First Release
September 9, 2024
Last Release
1 year ago
Last Commit
1 year ago
Latest Version
0.1.1
Total Releases
2
Contributors
4
Open PRs
0
Archived
No
Author
Ken Gu
Python Versions
3
3.10
3.11
3.12
Tracking Since
January 14, 2026
Data Updated
May 10, 2026
Data Freshness
Fresh