Monthly downloads
79.2K
Weekly downloads
31.1K
GitHub stars
363
Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.
Package Information
Package Insights
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
40
Popularity
52
Adoption
88
Community
30
Provenance
0
How the maintenance status was determined
Last commit
624 days ago
Monthly downloads
79,192
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
79,192
Stars
363
Stars per 1k downloads
4.58
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
4,442
Month daily avg
2,640
Momentum
+68.3%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100More insights and metrics
Python version support tiers
requires_python
>=3.9
Cutting Edge
Minimum supported version is 3.14 or newer
Modern
Minimum supported version is 3.11 to 3.13
•
Legacy
Supports 3.10 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
MIT
•
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
624 days ago
Total releases
29
Releases/year
8.9
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
7
Monthly downloads
79,192
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
33
Issue Burden
2.8
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
17.1%
contrib / forks
Stale Release
No
PR Velocity
Quiet
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
2.7K
macOS
1
Python Versions
3.11
98.8%
2.6K
3.12
1.2%
31
3.14
0.0%
1
3.9
0.0%
1
Top Countries
1.
US
2.7K
US
2.
CA
1
CA
3.
CN
1
CN
4.
ES
1
ES
5.
IN
1
IN
6.
JP
1
JP
7.
MA
1
MA
8.
NL
1
NL
9.
SG
1
SG
Weekly Downloads
GitHub Stars
Dependencies
2
50 optional dependencies
-
aiofiles[data-science]extra == "data-science"
-
aiofiles[local]extra == "local"
-
aiofiles[all]extra == "all"
-
bokeh[data-science]extra == "data-science"
-
bokeh[all]extra == "all"
-
dash[all]extra == "all"
-
dash[data-science]extra == "data-science"
-
fastapi[serve]extra == "serve"
-
fastapi[all]extra == "all"
-
ipykernel[data-science]extra == "data-science"
-
ipykernel[local]extra == "local"
-
ipykernel[all]extra == "all"
-
jupyter-client[data-science]extra == "data-science"
-
jupyter-client[local]extra == "local"
-
jupyter-client[all]extra == "all"
-
matplotlib[data-science]extra == "data-science"
-
matplotlib[all]extra == "all"
-
mkdocs-material[docs]extra == "docs"
-
neoteroi-mkdocs[docs]extra == "docs"
-
networkx[data-science]extra == "data-science"
-
networkx[all]extra == "all"
-
numpy[all]extra == "all"
-
numpy[data-science]extra == "data-science"
-
openpyxl[all]extra == "all"
-
openpyxl[data-science]extra == "data-science"
-
pandas[all]extra == "all"
-
pandas[data-science]extra == "data-science"
-
pillow[vision]extra == "vision"
-
pillow[all]extra == "all"
-
pillow[data-science]extra == "data-science"
-
plotly[data-science]extra == "data-science"
-
plotly[all]extra == "all"
-
pytest-asyncio[pytest]extra == "pytest"
-
python-docx[all]extra == "all"
-
python-docx[data-science]extra == "data-science"
-
scikit-learn[data-science]extra == "data-science"
-
scikit-learn[all]extra == "all"
-
scipy[data-science]extra == "data-science"
-
scipy[all]extra == "all"
-
seaborn[all]extra == "all"
-
seaborn[data-science]extra == "data-science"
-
statsmodels[data-science]extra == "data-science"
-
statsmodels[all]extra == "all"
-
sympy[all]extra == "all"
-
sympy[data-science]extra == "data-science"
-
uv[all]extra == "all"
-
uv[data-science]extra == "data-science"
-
uv[local]extra == "local"
-
yfinance[all]extra == "all"
-
yfinance[data-science]extra == "data-science"
Used By
5
- codeinterpreterapi 699/mo
- gpt-code-interpreter 246/mo
- codeinterpreterapi-hyperobjekt 199/mo
- codeinterpreterapi-yayi 70/mo
- epam-ai-run-codemie-tools 56/mo
Repository details
Data and sources
Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh