PyRank
NVIDIA

nvidia-physicsnemo

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
PyPI GitHub
More links
Download Stats Changelog Issues
Monthly downloads
75.6K
Weekly downloads
22.4K
GitHub stars *
3.3K

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

Package Information

Latest Version
2.2.2
Requires Python
<3.15,>=3.11
Licence
Apache-2.0
Last Release
1 month ago
Author
NVIDIA PhysicsNeMo Team
First Release
March 18, 2025
Total Releases
12
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
90
Popularity
78
Adoption
88
Community
90
Provenance
0
How the maintenance status was determined
Last commit
6 days ago
Monthly downloads
75,571
• 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
75,571
Stars
3,336
Stars per 1k downloads
44.14
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
3,207
Month daily avg
2,519
Momentum
+27.3%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
More insights and metrics
Python version support tiers
requires_python
<3.15,>=3.11
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
• 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
34 days ago
Total releases
12
Releases/year
7.6
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
114
Monthly downloads
75,571
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
94
 
Issue Burden
6.9
per 1k stars
Discussions
9.3
per 1k stars
Fork Ratio
14.1%
contrib / forks
Stale Release
No
 
PR Velocity
Active
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 2.2K
Windows 9
macOS 2

Python Versions

3.12
59.7% 1.3K
3.11
38.2% 859
3.13
1.6% 35
3.14
0.3% 7
3.10
0.2% 4

Top Countries

1. US US
1.2K
2. ES ES
958
3. IE IE
13
4. CA CA
8
5. TW TW
7
6. CN CN
6
7. DK DK
5
8. JP JP
5
9. FR FR
4
10. IN IN
3

Weekly Downloads

GitHub Stars *

Dependencies

26
56 optional dependencies
  • cuml-cu12>=26.2.0[cu12]
    extra == "cu12"
  • cuml-cu13>=26.2.0[cu13]
    extra == "cu13"
  • cupy-cuda12x<14.0.0,>=13.6.0[cu12]
    extra == "cu12"
  • cupy-cuda13x<14.0.0,>=13.6.0[cu13]
    extra == "cu13"
  • dask[datapipes-extras]
    extra == "datapipes-extras"
  • gpytorch>=1.11[uq-extras]
    extra == "uq-extras"
  • line-profiler[nn-extras]
    extra == "nn-extras"
  • line-profiler[utils-extras]
    extra == "utils-extras"
  • line-profiler[model-extras]
    extra == "model-extras"
  • line-profiler[gnns]
    extra == "gnns"
  • matplotlib>=3.10.8[mesh-extras]
    extra == "mesh-extras"
  • mlflow>=3.12.0[gnns]
    extra == "gnns"
  • mlflow>=3.12.0[model-extras]
    extra == "model-extras"
  • mlflow>=3.12.0[nn-extras]
    extra == "nn-extras"
  • mlflow>=3.12.0[utils-extras]
    extra == "utils-extras"
  • natten>=0.21.5[natten-cu13]
    extra == "natten-cu13"
  • natten>=0.21.5[natten-cu12]
    extra == "natten-cu12"
  • netcdf4[datapipes-extras]
    extra == "datapipes-extras"
  • nvidia-dali-cuda120[cu12]
    extra == "cu12"
  • nvidia-dali-cuda130[cu13]
    extra == "cu13"
  • pylibraft-cu12>=26.2.0[cu12]
    extra == "cu12"
  • pylibraft-cu13>=26.2.0[cu13]
    extra == "cu13"
  • pyvista>=0.46.4[gnns]
    extra == "gnns"
  • pyvista>=0.47.0[mesh-extras]
    extra == "mesh-extras"
  • pyvista>=0.46.4[model-extras]
    extra == "model-extras"
  • pyyaml>=6.0.2[gnns]
    extra == "gnns"
  • scipy[gnns]
    extra == "gnns"
  • scipy[model-extras]
    extra == "model-extras"
  • scipy[nn-extras]
    extra == "nn-extras"
  • stl[nn-extras]
    extra == "nn-extras"
  • stl[utils-extras]
    extra == "utils-extras"
  • stl[model-extras]
    extra == "model-extras"
  • stl[gnns]
    extra == "gnns"
  • sympy>=1.12[sym]
    extra == "sym"
  • tfrecord[datapipes-extras]
    extra == "datapipes-extras"
  • torch>=2.10.0[cu12]
    extra == "cu12"
  • torch>=2.10.0[cu13]
    extra == "cu13"
  • torch-cluster[gnns]
    extra == "gnns"
  • torch-geometric[gnns]
    extra == "gnns"
  • torch-scatter[gnns]
    extra == "gnns"
  • torch-sparse[gnns]
    extra == "gnns"
  • torchvision>=0.25.0a0[cu13]
    extra == "cu13"
  • torchvision>=0.25.0a0[cu12]
    extra == "cu12"
  • transformer-engine>=2.14.0[transformer-engine-cu12]
    extra == "transformer-engine-cu12"
  • transformer-engine>=2.14.0[transformer-engine-cu13]
    extra == "transformer-engine-cu13"
  • vtk[gnns]
    extra == "gnns"
  • vtk>=9.6.0[mesh-extras]
    extra == "mesh-extras"
  • vtk[model-extras]
    extra == "model-extras"
  • vtk[nn-extras]
    extra == "nn-extras"
  • vtk[utils-extras]
    extra == "utils-extras"
  • wandb[model-extras]
    extra == "model-extras"
  • wandb[nn-extras]
    extra == "nn-extras"
  • wandb[utils-extras]
    extra == "utils-extras"
  • wandb[gnns]
    extra == "gnns"
  • xarray>=2025.6.1[datapipes-extras]
    extra == "datapipes-extras"
  • zarr>=3.0.0[datapipes-extras]
    extra == "datapipes-extras"

Used By

4

Repository details

Forks
810
Issues
23
Last Commit
1 week ago
Contributors
114
Open PRs
85
Archived
No

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Sources and methodology