opty

collocation optimal optimal-control optimization parameter-estimation python

Score: 19.561792786914356

Last synced: about 9 hours ago
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Repository metadata:

A library for using direct collocation in the optimization of dynamic systems.

Host: GitHub
URL: https://github.com/csu-hmc/opty
Owner: csu-hmc
License: other
Created: 2014-09-05T13:10:21.000Z (almost 12 years ago)
Default Branch: master
Last Pushed: 2026-04-13T11:10:59.000Z (2 months ago)
Last Synced: 2026-05-12T05:12:10.439Z (about 1 month ago)
Topics: collocation, optimal, optimal-control, optimization, parameter-estimation, python
Language: Python
Homepage: http://opty.readthedocs.io
Size: 2.52 MB
Stars: 121
Watchers: 12
Forks: 23
Open Issues: 49
Metadata Files:
- Readme: README.rst
- Changelog: CHANGELOG.rst
- Contributing: CONTRIBUTING
- License: LICENSE
- Authors: AUTHORS

Owner metadata:

Name: CSU Human Motion and Control Lab
Login: csu-hmc
Email:
Kind: organization
Description:
Website: http://hmc.csuohio.edu
Location: Cleveland, Ohio, USA
Twitter:
Company:
Icon url: https://avatars.githubusercontent.com/u/5296801?v=4
Repositories: 30
Last Synced at: 2024-03-27T10:22:08.359Z
Profile URL: https://github.com/csu-hmc

GitHub Events

Total

Commit comment event: 5
Create event: 4
Delete event: 8
Fork event: 2
Issue comment event: 1363
Issues event: 114
Pull request event: 314
Pull request review comment event: 528
Pull request review event: 525
Push event: 162
Release event: 2
Watch event: 17
Total: 3044

Last Year

Commit comment event: 2
Create event: 2
Delete event: 4
Fork event: 1
Issue comment event: 533
Issues event: 46
Pull request event: 89
Pull request review comment event: 270
Pull request review event: 274
Push event: 54
Release event: 1
Watch event: 11
Total: 1287

Committers metadata

Last synced: about 1 month ago

Total Commits: 1,171
Total Committers: 7
Avg Commits per committer: 167.286
Development Distribution Score (DDS): 0.244

Commits in past year: 185
Committers in past year: 2
Avg Commits per committer in past year: 92.5
Development Distribution Score (DDS) in past year: 0.103

Name	Email	Commits
Jason K. Moore	m**s@g**m	885
Peter Stahlecker	p**r@g**m	249
tjstienstra	t**0@g**m	14
Sam Brockie	s**e@i**m	11
Ton van den Bogert	a**t@c**u	9
chrismo-schmidt	c**t@p**l	2
jaime	a**r@r**g	1

Issue and Pull Request metadata

Last synced: about 2 months ago

Total issues: 190
Total pull requests: 369
Average time to close issues: about 1 year
Average time to close pull requests: 2 months
Total issue authors: 12
Total pull request authors: 9
Average comments per issue: 3.43
Average comments per pull request: 4.75
Merged pull request: 206
Bot issues: 0
Bot pull requests: 1

Past year issues: 25
Past year pull requests: 54
Past year average time to close issues: 2 months
Past year average time to close pull requests: about 1 month
Past year issue authors: 4
Past year pull request authors: 3
Past year average comments per issue: 3.8
Past year average comments per pull request: 4.17
Past year merged pull request: 20
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/csu-hmc/opty

Top Issue Authors

moorepants (123)
Peter230655 (47)
tjstienstra (5)
AN-Best (3)
tvdbogert (3)
chrisdembia (2)
chris-konrad (2)
TJStienstra (1)
billtubbs (1)
Neville-N (1)
chrismo-schmidt (1)
demotu (1)

Top Pull Request Authors

Peter230655 (203)
moorepants (146)
tjstienstra (8)
brocksam (4)
chris-konrad (2)
Neville-N (2)
HuaweiWang (2)
ashander (1)
dependabot[bot] (1)

Top Issue Labels

enhancement (25)
joss (17)
example (11)
bug (9)
performance (5)
documentation (3)

Top Pull Request Labels

example (17)
joss (13)
enhancement (5)
dependencies (1)
released (1)

Package metadata

Total packages: 2
Total downloads:
- conda: 262,992 total
- pypi: 52 last-month
Total dependent packages: 0 (may contain duplicates)
Total dependent repositories: 1 (may contain duplicates)
Total versions: 13
Total maintainers: 1

pypi.org: opty

Tool for optimizing dynamic systems using direct collocation.

Homepage: http://github.com/csu-hmc/opty
Documentation: https://opty.readthedocs.io/
Licenses: BSD-2-clause
Latest release: 1.5.0 (published 8 months ago)
Last Synced: 2026-04-27T22:02:00.707Z (about 2 months ago)
Versions: 9
Dependent Packages: 0
Dependent Repositories: 1
Downloads: 52 Last month
Rankings:
- Stargazers count: 7.828%
- Forks count: 8.548%
- Dependent packages count: 10.052%
- Average: 12.912%
- Downloads: 16.492%
- Dependent repos count: 21.642%
Maintainers (1)
- moorepants

conda-forge.org: opty

opty utilizes symbolic descriptions of differential algebraic equations expressed with SymPy to form the constraints needed to solve optimal control and parameter identification problems using the direct collocation method and nonlinear programming (NLP). In general, if one can express the continuous first order differential algebraic equations of the system as symbolic expressions, opty will automatically generate a function to efficiently evaluate the dynamical constraints and a function that evaluates the sparse Jacobian of the constraints, which have been optimized for speed and memory consumption. The translation of the dynamical system description to the NLP form, primarily the formation of the constraints and the Jacobian of the constraints, manually is a time consuming and error prone process. opty eliminates both of those issues.

Homepage: http://github.com/csu-hmc/opty
Licenses: BSD-2-Clause
Latest release: 1.1.0 (published over 4 years ago)
Last Synced: 2026-03-19T17:25:37.971Z (3 months ago)
Versions: 4
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 262,992 Total
Rankings:
- Stargazers count: 33.861%
- Dependent repos count: 34.025%
- Forks count: 34.734%
- Average: 38.449%
- Dependent packages count: 51.175%

Dependencies

setup.py pypi

cyipopt >=1.1.0
cython >=0.29.19
numpy >=1.19.0
scipy >=1.5.0
sympy >=1.6.0

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