Package Insights
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
70
Popularity
54
Adoption
22
Community
50
How the maintenance status was determined
Last commit
5 days ago
Monthly downloads
174
•
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
174
Stars
417
Stars per 1k downloads
2396.55
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
5
Month daily avg
6
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
Apache-2.0
•
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
644 days ago
Total releases
3
Releases/year
1.5
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
26
Monthly downloads
174
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
51
Issue Burden
81.5
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
42.6%
contrib / forks
Stale Release
638d
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.
RU
6
RU
2.
CA
1
CA
Dependencies
18
- beautifulsoup4 <5.0.0,>=4.12.3
- dill <0.4.0,>=0.3.8
- docstring-parser <1,>=0
- lxml <6.0.0,>=5.2.2
- mss <10.0.0,>=9.0.1
- networkx <4,>=3
- odfpy <2.0.0,>=1.4.1
- pillow <11.0.0,>=10.2.0
- psutil <6.0.0,>=5.9.8
- pyautogui <0.10.0,>=0.9.3
- pydantic <3.0,>=2.6
- pyexcel-ods <0.7.0,>=0.6.0
- pyperclip <2.0.0,>=1.8.2
- python-vagrant <2.0.0,>=1.0.0
- termcolor <3.0.0,>=2.4.0
- types-networkx <4.0.0.0,>=3.2.1.20240210
- types-psutil <6.0.0.0,>=5.9.5.20240205
- types-pyautogui <0.10.0.0,>=0.9.3.20240106
21 optional dependencies
- addict[client]
- anthropic[client]
- easyocr[client]
- fastapi[server]
- google-generativeai[client]
- groq[client]
- httpx[client]
- matplotlib[client]
- numpy[client]
- ollama[client]
- openai[client]
- opencv-python[client]
- plotly[client]
- pycocotools[client]
- pydantic-settings[server]
- timm[client]
- torch[client]
- torchvision[client]
- transformers[client]
- uvicorn[server]
- yapf[client]
Used By
0
Not used by any tracked packages
Package Information
License
Apache-2.0
First Release
May 12, 2024
Last Release
1 year ago
Last Commit
5 days ago
Latest Version
0.1.2
Total Releases
3
Contributors
26
Open PRs
3
Archived
No
Author
CAMEL-AI.org
Python Versions
3
3.10
3.11
3.12
Wheels
py3
Topics
Tracking Since
January 21, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh