PyPI Stats
AIM-Harvard

pyradiomics-cuda

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
PyPI GitHub

Shared Repository

This package shares its GitHub repository (AIM-Harvard/pyradiomics) with 1 other package. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
13
Week
48
Month
156
Stars
1.4K
Forks
542
Issues
137
Version
1.0.4

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
30
Popularity
71
Adoption
21
Community
70
How the maintenance status was determined
Last commit
323 days ago
Monthly downloads
156
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
156
Stars
1,410
Stars per 1k downloads
9038.46
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
7
Month daily avg
5
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
Python version support tiers
requires_python
>=3.9
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
BSD 3-Clause 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
217 days ago
Total releases
5
Releases/year
4.8
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
156
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
63
 
Issue Burden
97.2
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
6.1%
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 2

Python Versions

3.11
50.0% 1
3.14
50.0% 1

Top Countries

1. US US
4
2. HK HK
2
3. SE SE
1

Dependencies

4
16 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
BSD 3-Clause License
First Release
April 20, 2025
Last Release
7 months ago
Last Commit
10 months ago
Latest Version
1.0.4
Total Releases
5
Contributors
33
Open PRs
3
Archived
No
Python Versions
3.9 3.10 3.11 3.12 3.13
Keywords
radiomics cancerimaging medicalresearch computationalimaging cuda gpu
Topics
radiomics cancer-imaging-research medical-imaging computational-imaging nci-qin tcia-dac python radiomics-features docker nci-itcr radiomics-feature-extraction feature-extraction ibsi
Tracking Since
January 14, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links