JOSS: https://github.com/andim/noisyopt
optimization
Score: 12.472965103774397
Last synced: about 3 hours ago
JSON representation
Repository metadata:
Python library for optimizing noisy functions.
- Host: GitHub
- URL: https://github.com/andim/noisyopt
- Owner: andim
- License: mit
- Created: 2016-03-29T13:03:11.000Z (about 10 years ago)
- Default Branch: master
- Last Pushed: 2025-10-14T11:45:01.000Z (8 months ago)
- Last Synced: 2026-02-05T15:44:44.548Z (5 months ago)
- Topics: optimization
- Language: Python
- Homepage: http://noisyopt.readthedocs.io/
- Size: 131 KB
- Stars: 88
- Watchers: 4
- Forks: 15
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Codemeta: codemeta.json
CodeMeta metadata:
- @context: https://raw.githubusercontent.com/mbjones/codemeta/master/codemeta.jsonld
- @type: Code
- Author:
- Identifier: https://doi.org/10.5281/zenodo.439144
- Code repository: https://github.com/andim/noisyopt
- Date published: 2017-03-30
- Date modified: 2017-03-30
- Date created: 2017-03-30
- Description: Noisyopt is a Python library for local optimization of functions based on noisy evaluations.
- Keywords: optimization, stochastic approximation, spsa
- License: MIT
- Title: noisyopt
- Version: v0.2.0
Owner metadata:
- Name: Andreas Tiffeau-Mayer
- Login: andim
- Email:
- Kind: user
- Description: Quantitative Immunology, Biological Physics
- Website: https://andim.github.io/
- Location: London
- Twitter: andimscience
- Company: University College London
- Icon url: https://avatars.githubusercontent.com/u/2394707?u=552d47bb98ab2b464f60f3517adfd270639e450c&v=4
- Repositories: 26
- Last Synced at: 2023-08-02T22:41:45.530Z
- Profile URL: https://github.com/andim
GitHub Events
Total
- Issue comment event: 1
- Issues event: 2
- Watch event: 1
- Total: 4
Last Year
- Issue comment event: 1
- Issues event: 2
- Watch event: 1
- Total: 4
Committers metadata
Last synced: 4 months ago
Total Commits: 144
Total Committers: 2
Avg Commits per committer: 72.0
Development Distribution Score (DDS): 0.007
Commits in past year: 4
Committers in past year: 1
Avg Commits per committer in past year: 4.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Andreas Mayer | a****m@g****m | 143 |
| Svein Aas | s****n@g****m | 1 |
Issue and Pull Request metadata
Last synced: 8 months ago
Total issues: 22
Total pull requests: 2
Average time to close issues: 11 months
Average time to close pull requests: 4 months
Total issue authors: 13
Total pull request authors: 1
Average comments per issue: 1.68
Average comments per pull request: 5.5
Merged pull request: 1
Bot issues: 0
Bot pull requests: 0
Past year issues: 2
Past year pull requests: 0
Past year average time to close issues: 6 days
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 0
Past year average comments per issue: 2.0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- nirum (8)
- microprediction (2)
- nedelec (2)
- tgbrooks (1)
- montus15 (1)
- sclamons (1)
- komosinski (1)
- andim (1)
- zohimchandani (1)
- vishalmhjn (1)
- toumix (1)
- Pundarikm37 (1)
- thomasahle (1)
Top Pull Request Authors
- Baughn (2)
Top Issue Labels
- enhancement (1)
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 1,384 last-month
- Total docker downloads: 34
- Total dependent packages: 6
- Total dependent repositories: 25
- Total versions: 7
- Total maintainers: 1
pypi.org: noisyopt
Python library for optimization of noisy functions
- Homepage: http://noisyopt.readthedocs.io/
- Documentation: https://noisyopt.readthedocs.io/
- Licenses: MIT
- Latest release: 0.2.3 (published 8 months ago)
- Last Synced: 2026-02-21T13:01:45.059Z (4 months ago)
- Versions: 7
- Dependent Packages: 6
- Dependent Repositories: 25
- Downloads: 1,384 Last month
- Docker Downloads: 34
-
Rankings:
- Dependent packages count: 1.4%
- Dependent repos count: 2.896%
- Docker downloads count: 3.925%
- Average: 4.386%
- Downloads: 9.324%
- Maintainers (1)
Dependencies
- numpy *
- scipy *
- actions/checkout v4 composite
- actions/download-artifact v4 composite
- actions/setup-python v5 composite
- actions/upload-artifact v4 composite
- pypa/gh-action-pypi-publish release/v1 composite