PyRank
MIC-DKFZ

nnunetv2

nnU-Net is a framework for out-of-the box image segmentation.
PyPI GitHub
More links
Download Stats
Verified repo
Monthly downloads
183.4K
Weekly downloads
48.1K
GitHub stars *
9.0K

Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.

Package Information

Latest Version
2.8.1
Requires Python
>=3.10
Licence
Apache License 2.0
Last Release
3 months ago
Author
Helmholtz Imaging Applied Computer Vision Lab
First Release
March 17, 2023
Total Releases
20
Python Versions
3
No reported malware or high/critical advisories · Details

The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
100
Popularity
85
Adoption
82
Community
90
Provenance
100
How the maintenance status was determined
Last commit
1 days ago
Monthly downloads
183,375
• 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
183,375
Stars
8,963
Stars per 1k downloads
48.88
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
6,874
Month daily avg
6,112
Momentum
+12.5%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
More insights and metrics
Python version support tiers
requires_python
>=3.10
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
Apache License 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
107 days ago
Total releases
20
Releases/year
5.6
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
105
Monthly downloads
183,375
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
100
 
Issue Burden
7.8
per 1k stars
Discussions
33.1
per 1k stars
Fork Ratio
4.2%
contrib / forks
Stale Release
106d
 
PR Velocity
Quiet
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 6.3K
Windows 222
macOS 97

Python Versions

3.9
40.3% 2.5K
3.10
26.6% 1.6K
3.14
15.4% 953
3.12
10.7% 660
3.13
7.0% 434

Top Countries

1. US US
5.1K
2. SG SG
921
3. CN CN
127
4. DE DE
61
5. BE BE
53
6. JP JP
52
7. CA CA
47
8. IN IN
44
9. NL NL
34
10. TW TW
32

Weekly Downloads

GitHub Stars *

Dependencies

22
3 optional dependencies
  • numpy<2[intel-macos]
    extra == "intel-macos"
  • pre-commit[dev]
    extra == "dev"
  • torch<2.3[intel-macos]
    extra == "intel-macos"

Used By

51
View all 51 dependents

Repository details

Forks
2.5K
Issues
70
Last Commit
Yesterday
Contributors
105
Open PRs
25
Archived
No
GitHub Topics

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Keywords
deep learning image segmentation semantic segmentation medical image analysis medical image segmentation nnU-Net nnunet
Sources and methodology