PyPI Stats
pnnl

neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (pnnl/neuromancer) with 1 other package. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
21
Week
191
Month
1.5K
Stars
1.3K
Forks
172
Issues
9
Version
1.5.6

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
60
Popularity
66
Adoption
31
Community
60
How the maintenance status was determined
Last commit
61 days ago
Monthly downloads
1,501
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
1,501
Stars
1,317
Stars per 1k downloads
877.42
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
27
Month daily avg
50
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-2-Clause
• 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
222 days ago
Total releases
9
Releases/year
3.5
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
38
Monthly downloads
1,501
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
76
 
Issue Burden
6.8
per 1k stars
Discussions
27.3
per 1k stars
Fork Ratio
22.1%
contrib / forks
Stale Release
161d
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars

Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 2
Windows 2

Python Versions

3.10
50.0% 2
3.13
50.0% 2

Top Countries

1. US US
4
2. CA CA
1

Dependencies

20
7 optional dependencies

Used By

1

Package Information

License
BSD-2-Clause
First Release
October 12, 2023
Last Release
7 months ago
Last Commit
2 months ago
Latest Version
1.5.6
Total Releases
9
Contributors
38
Open PRs
10
Archived
No
Python Versions
3.9 3.10 3.11 3.12
Wheels
py3
Keywords
Deep Learning Pytorch Scientific Machine Learning Dynamical Systems Data-driven control
Topics
constrained-optimization control-systems deep-learning differentiable-programming dynamical-systems pytorch differentiable-optimization nonlinear-dynamics nonlinear-optimization differentiable-control physics-informed-ml
Tracking Since
January 14, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links