PyPI Stats
optimagic-dev

optimagic

optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you don't have to adjust your code. You simply get more optimizers for free. On top you get diagnostic tools, parallel numerical derivatives and more.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (optimagic-dev/optimagic) with 1 other package. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
112
Week
1.6K
Month
6.9K
Stars
317
Forks
51
Issues
35
Version
0.5.3

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
70
Popularity
52
Adoption
58
Community
60
How the maintenance status was determined
Last commit
27 days ago
Monthly downloads
6,897
• 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
6,897
Stars
317
Stars per 1k downloads
45.96
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
234
Month daily avg
230
Momentum
+1.8%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
>=3.10
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
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
75 days ago
Total releases
7
Releases/year
3.4
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
44
Monthly downloads
6,897
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
75
 
Issue Burden
110.4
per 1k stars
Discussions
28.4
per 1k stars
Fork Ratio
86.3%
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 59
Windows 10
macOS 10

Python Versions

3.12
26.6% 21
3.10
20.3% 16
3.11
20.3% 16
3.13
20.3% 16
3.14
12.7% 10

Top Countries

1. US US
77
2. CN CN
2
3. GB GB
2
4. CA CA
1

Package Information

License
MIT
First Release
April 10, 2024
Last Release
2 months ago
Last Commit
4 weeks ago
Latest Version
0.5.3
Total Releases
7
Contributors
44
Open PRs
10
Archived
No
Python Versions
3.10 3.11 3.12 3.13
Wheels
py3
Keywords
derivative free optimization estimation extremum estimation finite differences global optimization inference maximum likelihood method of simulated moments nonlinear optimization numerical differentiation optimization parallel optimization statistics
Topics
numerical-differentiation numerical-optimization parallel-computing python
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links