Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.5%) to scientific vocabulary
Keywords
nlopt
non-linear-optimization
optimization
python
Last synced: 6 months ago
·
JSON representation
Repository
A project to package the NLOpt library to wheels
Basic Info
- Host: GitHub
- Owner: DanielBok
- License: other
- Language: Python
- Default Branch: master
- Size: 111 KB
Statistics
- Stars: 31
- Watchers: 3
- Forks: 16
- Open Issues: 10
- Releases: 6
Topics
nlopt
non-linear-optimization
optimization
python
Created almost 7 years ago
· Last pushed about 1 year ago
Metadata Files
Readme
License
README.md
NLopt Python
This project builds Python wheels for the NLopt library. NLopt contains various routines for non-linear optimization.
Versions supported
The project supports Python versions 3.9+ and above for Windows, MacOS, and Linux.
Installation
bash
pip install nlopt
Documentation
For more information on how to use NLopt, refer to the documentation.
Owner
- Name: DannieB
- Login: DanielBok
- Kind: user
- Location: Singapore
- Repositories: 6
- Profile: https://github.com/DanielBok
GitHub Events
Total
- Create event: 5
- Issues event: 2
- Release event: 2
- Watch event: 1
- Delete event: 4
- Issue comment event: 4
- Push event: 10
- Pull request review event: 1
- Pull request event: 12
- Fork event: 5
Last Year
- Create event: 5
- Issues event: 2
- Release event: 2
- Watch event: 1
- Delete event: 4
- Issue comment event: 4
- Push event: 10
- Pull request review event: 1
- Pull request event: 12
- Fork event: 5
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Daniel Bok | d****k@o****m | 65 |
| Hans Dembinski | h****i@g****m | 12 |
| Julien Schueller | s****r@p****m | 6 |
| Kevin Wilson | k****n@g****m | 1 |
Committer Domains (Top 20 + Academic)
phimeca.com: 1
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 21
- Total pull requests: 29
- Average time to close issues: 5 months
- Average time to close pull requests: about 1 month
- Total issue authors: 16
- Total pull request authors: 9
- Average comments per issue: 3.05
- Average comments per pull request: 0.66
- Merged pull requests: 17
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 2
- Pull requests: 10
- Average time to close issues: 2 months
- Average time to close pull requests: about 2 months
- Issue authors: 2
- Pull request authors: 4
- Average comments per issue: 2.0
- Average comments per pull request: 0.4
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- yurivict (3)
- jschueller (2)
- defencedog (2)
- AntoineD (2)
- BolunDai0216 (1)
- ogencoglu (1)
- loixou (1)
- jonas-eschle (1)
- devin-saini (1)
- timrandg (1)
- henryiii (1)
- wbthomason (1)
- Doggie52 (1)
- Lazyshot (1)
- DanielBok (1)
Pull Request Authors
- DanielBok (17)
- jschueller (9)
- jdegenstein (2)
- enyen (2)
- HDembinski (2)
- cortadocodes (2)
- akaszynski (1)
- LecrisUT (1)
- khwilson (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 128,329 last-month
- Total docker downloads: 332
- Total dependent packages: 40
- Total dependent repositories: 103
- Total versions: 9
- Total maintainers: 3
pypi.org: nlopt
Library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
- Documentation: https://nlopt.readthedocs.io/en/latest/
- License: MIT
-
Latest release: 2.9.1
published about 1 year ago
Rankings
Dependent packages count: 0.4%
Dependent repos count: 1.5%
Downloads: 1.9%
Docker downloads count: 2.3%
Average: 5.1%
Forks count: 10.9%
Stargazers count: 13.9%
Last synced:
7 months ago
Dependencies
Pipfile
pypi
- nlopt *
Pipfile.lock
pypi
- nlopt ==2.7.1
- numpy ==1.22.3
setup.py
pypi
- numpy *