PyRank
NVIDIA

nvidia-cudnn-frontend

cuDNN Frontend is NVIDIA's modern, open-source entry point to the cuDNN library and a growing collection of high-performance open-source kernels.
PyPI GitHub
More links
Download Stats Blog Bug Tracker Release Notes
Monthly downloads
3.4M
Weekly downloads
882.9K
GitHub stars
965

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

Package Information

Latest Version
1.29.1
Requires Python
>=3.10
Licence
Apache-2.0 AND MIT
Last Release
2 days ago
First Release
May 3, 2024
Total Releases
36
Python Versions
3 3.10 3.11 3.12 3.13 3.14
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
66
Adoption
90
Community
100
Provenance
0
How the maintenance status was determined
Last commit
6 days ago
Monthly downloads
3,412,509
• 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
3,412,509
Stars
965
Stars per 1k downloads
0.28
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
126,134
Month daily avg
113,750
Momentum
+10.9%
((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-2.0 AND 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
1 days ago
Total releases
36
Releases/year
14.7
• 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
114
Monthly downloads
3,412,509
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
80
 
Issue Burden
125.4
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
37.5%
contrib / forks
Stale Release
No
 
PR Velocity
Active
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 109.0K
Windows 104
macOS 8

Python Versions

3.12
75.3% 82.2K
3.10
10.0% 10.9K
3.13
8.1% 8.8K
3.11
5.5% 6.1K
3.14
1.0% 1.1K

Top Countries

1. US US
91.9K
2. FI FI
4.6K
3. DE DE
2.7K
4. SG SG
2.0K
5. NO NO
1.8K
6. KR KR
1.7K
7. CN CN
1.4K
8. CA CA
1.4K
9. FR FR
1.3K
10. GB GB
1.2K

Weekly Downloads

GitHub Stars

Dependencies

2
4 optional dependencies
  • cuda-python[cutedsl]
    extra == "cutedsl"
  • cuda-tile>=1.4[cutile]
    extra == "cutile"
  • nvshmem4py-cu13>=0.3.1[comm]
    extra == "comm"
  • triton>=3.7.0[triton]
    (sys_platform == "linux" and python_version >= "3.10") and extra == "triton"

Used By

12
View all 12 dependents

Repository details

Forks
304
Issues
121
Last Commit
1 week ago
Contributors
114
Open PRs
72
Archived
No

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Keywords
cudnn cuda gpu nvidia deep-learning attention sdpa flash-attention transformer moe mixture-of-experts grouped-gemm fp8 mxfp8 blackwell rubin hopper pytorch kernel graph-api
Sources and methodology