Package Insights
Package Risks
- No releases in 130 days despite active commits
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
90
Popularity
52
Adoption
32
Community
60
How the maintenance status was determined
Last commit
29 days ago
Monthly downloads
1,632
•
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
1,632
Stars
279
Stars per 1k downloads
170.96
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
38
Month daily avg
54
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
<3.9,>=3.8
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
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
160 days ago
Total releases
52
Releases/year
10.6
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
33
Monthly downloads
1,632
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
72
Issue Burden
86.0
per 1k stars
Discussions
25.1
per 1k stars
Fork Ratio
45.2%
contrib / forks
Stale Release
130d
PR Velocity
Quiet
Weekly Downloads
GitHub Stars
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
1
Python Versions
3.10
100.0%
1
Top Countries
1.
CN
40
CN
2.
CA
1
CA
3.
HK
1
HK
4.
US
1
US
Dependencies
61
- anndata >=0.7.5
- arboreto ==0.1.6
- bokeh ==2.4.3
- cell-bin ==1.3.4.1
- colorcet >=3.1.0
- dask >=2023.3.2
- datashader >=0.15.2
- distinctipy >=1.2.2
- distributed >=2023.3.2.1
- fastcluster ==1.2.6
- fbpca >=1.0
- gefpy >=1.2.6
- geosketch >=1.2
- gtfparse ==1.2.1
- h5py >=3.7.0
- harmonypy ==0.0.6
- holoviews ==1.17.1
- hotspotsc ==1.1.3
- hvplot >=0.9.0
- imageio ==2.31.1
- joblib >=1.3.2
- kdepy ==1.1.11
- leidenalg >=0.10.1
- loompy ==3.0.6
- louvain >=0.8.0
- lxml >=4.8.0
- matplotlib <=3.7.5,>=3.7.1
- natsort ~=7.1.1
- numba ==0.56.4
- numpy ==1.23.5
- opencv-python >=4.8.0.76
- packaging >=23.1
- pandas >=1.5.3
- panel ==0.14.4
- param ==1.13.0
- patsy ~=0.5.1
- phenograph ==1.5.7
- pillow >=10.1.0
- plotly >=5.15.0
- pot ==0.9.1
- pyarrow >=10.0.1
- pycirclize >=0.5.0
- pyscenic >=0.12.1
- requests >=2.31.0
- scikit-image >=0.21.0
- scikit-learn >=1.3.0
- scipy ==1.10.1
- seaborn >=0.13.0
- setuptools ==69.5.1
- shapely >=2.0.0
- slideio >=1.0.0
- spatialpandas >=0.4.4
- sqlalchemy ==1.3.24
- squidpy ==1.2.2
- statsmodels >=0.14.0
- tifffile >=2023.2.3
- tqdm >=4.60.0
- typing-extensions >=4.7.1
- umap-learn ==0.5.1
- urllib3 ==2.1.0
- xarray ==0.20.1
63 optional dependencies
- albumentations[image-cu12]
- albumentations[image]
- albumentations[image-cu11]
- cell-bin[image-cu11]
- cell-bin[image]
- cusingler[singler-gpu]
- fastremap[image-cu11]
- fastremap[image-cu12]
- fastremap[image]
- nbformat[spt-cu12]
- nbformat[spt-cu11]
- nbformat[spt]
- onnxruntime[image]
- onnxruntime-gpu[image-cu11]
- onnxruntime-gpu[image-cu12]
- patchify[image]
- patchify[image-cu12]
- patchify[image-cu11]
- pygam[spt-cu11]
- pygam[spt-cu12]
- pygam[spt]
- pysal[spt-cu12]
- pysal[spt]
- pysal[spt-cu11]
- quantecon[spt-cu12]
- quantecon[spt]
- quantecon[spt-cu11]
- roifile[image-cu12]
- roifile[image-cu11]
- roifile[image]
- stereopy[all-cu11]
- stereopy[all]
- stereopy[all-cu12]
- tables[image-cu12]
- tables[image]
- tables[image-cu11]
- tensorflow[image-cu12]
- tensorflow[image-cu11]
- tensorflow[image]
- torch[spatialign-cu12]
- torch[spt]
- torch[spt-cu11]
- torch[spt-cu12]
- torch[image-cu11]
- torch[image]
- torch[image-cu12]
- torch[spatialign]
- torch[spatialign-cu11]
- torch-cluster[spatialign]
- torch-cluster[spatialign-cu12]
- torch-cluster[spatialign-cu11]
- torch-geometric[spatialign-cu12]
- torch-geometric[spatialign]
- torch-geometric[spatialign-cu11]
- torch-scatter[spatialign-cu12]
- torch-scatter[spatialign]
- torch-scatter[spatialign-cu11]
- torch-sparse[spatialign-cu11]
- torch-sparse[spatialign]
- torch-sparse[spatialign-cu12]
- torchvision[image]
- torchvision[image-cu12]
- torchvision[image-cu11]
Used By
0
Not used by any tracked packages
Package Information
License
MIT License
First Release
June 2, 2021
Last Release
5 months ago
Last Commit
4 weeks ago
Latest Version
1.6.2
Total Releases
52
Contributors
33
Open PRs
3
Archived
No
Python Versions
3
3.8
Wheels
py3
Topics
-
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh