GWPopulation
GWPopulation: Hardware agnostic population inference for compact binaries and beyond - Published in JOSS (2025)
Science Score: 100.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 12 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: joss.theoj.org -
✓Committers with academic emails
4 of 8 committers (50.0%) from academic institutions -
○Institutional organization owner
-
✓JOSS paper metadata
Published in Journal of Open Source Software
Scientific Fields
Repository
CPU/GPU agnostic gravitational-wave population inference
Basic Info
- Host: GitHub
- Owner: ColmTalbot
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://colmtalbot.github.io/gwpopulation/
- Size: 41.5 MB
Statistics
- Stars: 49
- Watchers: 1
- Forks: 56
- Open Issues: 9
- Releases: 15
Metadata Files
README.md
Flexible, extensible, hardware-agnostic gravitational-wave population inference.
It provides:
- Simple use of GPU-acceleration via JAX and cupy.
- Implementations of widely used likelihood compatible with Bilby.
- A standard format for defining new population models.
- A collection of standard population models.
If you're using this on high-performance computing clusters, you may be interested in the associated pipeline code gwpopulation_pipe.
Attribution
Please cite Talbot et al. (2025) if you use GWPopulation in your research.
bibtex
@article{Talbot2025,
author = {Colm Talbot and Amanda Farah and Shanika Galaudage and Jacob Golomb and Hui Tong},
title = {GWPopulation: Hardware agnostic population inference for compact binaries and beyond},
journal = {Journal of Open Source Software},
doi = {10.21105/joss.07753},
url = {https://doi.org/10.21105/joss.07753},
year = {2025},
publisher = {The Open Journal},
volume = {10},
number = {109},
pages = {7753},
archivePrefix = {arXiv},
eprint = {2409.14143},
primaryClass = {astro-ph.IM},
}
The older citation can also be included for the initial proof-of-principle for the application of hardware acceleration Talbot et al. (2019).
bibtex
@ARTICLE{2019PhRvD.100d3030T,
author = {{Talbot}, Colm and {Smith}, Rory and {Thrane}, Eric and {Poole}, Gregory B.},
title = "{Parallelized inference for gravitational-wave astronomy}",
journal = {\prd},
year = 2019,
month = aug,
volume = {100},
number = {4},
eid = {043030},
pages = {043030},
doi = {10.1103/PhysRevD.100.043030},
archivePrefix = {arXiv},
eprint = {1904.02863},
primaryClass = {astro-ph.IM},
}
Additionally, please consider citing the original references for the implemented models which should be include in docstrings.
Owner
- Name: Colm Talbot
- Login: ColmTalbot
- Kind: user
- Website: https://colmtalbot.github.io/
- Repositories: 6
- Profile: https://github.com/ColmTalbot
JOSS Publication
GWPopulation: Hardware agnostic population inference for compact binaries and beyond
Authors
Laboratoire Lagrange, Université Côte d'Azur, Observatoire de la Côte d'Azur, CNRS, Bd de l'Observatoire, 06300, France, Laboratoire Artemis, Université Côte d'Azur, Observatoire de la Côte d'Azur, CNRS, Bd de l'Observatoire, 06300, France
Tags
astronomy gravitational waves hierarchical inferenceCitation (CITATION.cff)
cff-version: "1.2.0"
authors:
- family-names: Talbot
given-names: Colm
orcid: "https://orcid.org/0000-0003-2053-5582"
- family-names: Farah
given-names: Amanda
orcid: "https://orcid.org/0000-0002-6121-0285"
- family-names: Galaudage
given-names: Shanika
orcid: "https://orcid.org/0000-0002-1819-0215"
- family-names: Golomb
given-names: Jacob
orcid: "https://orcid.org/0000-0002-6977-670X"
- family-names: Tong
given-names: Hui
orcid: "https://orcid.org/0000-0002-4534-0485"
doi: 10.5281/zenodo.15264649
message: If you use this software, please cite our article in the
Journal of Open Source Software.
preferred-citation:
authors:
- family-names: Talbot
given-names: Colm
orcid: "https://orcid.org/0000-0003-2053-5582"
- family-names: Farah
given-names: Amanda
orcid: "https://orcid.org/0000-0002-6121-0285"
- family-names: Galaudage
given-names: Shanika
orcid: "https://orcid.org/0000-0002-1819-0215"
- family-names: Golomb
given-names: Jacob
orcid: "https://orcid.org/0000-0002-6977-670X"
- family-names: Tong
given-names: Hui
orcid: "https://orcid.org/0000-0002-4534-0485"
date-published: 2025-05-29
doi: 10.21105/joss.07753
issn: 2475-9066
issue: 109
journal: Journal of Open Source Software
publisher:
name: Open Journals
start: 7753
title: "GWPopulation: Hardware agnostic population inference for
compact binaries and beyond"
type: article
url: "https://joss.theoj.org/papers/10.21105/joss.07753"
volume: 10
title: "GWPopulation: Hardware agnostic population inference for compact
binaries and beyond"
GitHub Events
Total
- Create event: 12
- Release event: 4
- Issues event: 9
- Watch event: 10
- Delete event: 9
- Member event: 2
- Issue comment event: 25
- Push event: 37
- Pull request review comment event: 6
- Pull request review event: 9
- Pull request event: 26
- Fork event: 7
Last Year
- Create event: 12
- Release event: 4
- Issues event: 9
- Watch event: 10
- Delete event: 9
- Member event: 2
- Issue comment event: 25
- Push event: 37
- Pull request review comment event: 6
- Pull request review event: 9
- Pull request event: 26
- Fork event: 7
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Colm Talbot | c****t@l****g | 114 |
| Colm Talbot | c****t@m****u | 97 |
| Colm Talbot | t****m@g****m | 59 |
| jacobgolomb | j****b@c****u | 12 |
| shanikagalaudage | 4****e@u****m | 6 |
| Chase Kimball | c****2@u****u | 1 |
| afarah18 | a****h@g****m | 1 |
| jacobgolomb | 8****b@u****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 19
- Total pull requests: 116
- Average time to close issues: 9 months
- Average time to close pull requests: 27 days
- Total issue authors: 11
- Total pull request authors: 11
- Average comments per issue: 0.74
- Average comments per pull request: 0.98
- Merged pull requests: 102
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 5
- Pull requests: 26
- Average time to close issues: 13 days
- Average time to close pull requests: 9 days
- Issue authors: 5
- Pull request authors: 5
- Average comments per issue: 0.6
- Average comments per pull request: 0.92
- Merged pull requests: 20
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- ColmTalbot (7)
- jacobgolomb (2)
- HuiTong5 (2)
- Qazalbash (2)
- neevshah101 (1)
- vitale82 (1)
- sharanbngr (1)
- sterinaldi (1)
- mdmould (1)
- aqcheng (1)
- Suyog7130 (1)
Pull Request Authors
- ColmTalbot (103)
- jacobgolomb (10)
- shanikagalaudage (9)
- afarah18 (5)
- HuiTong5 (3)
- Suyog7130 (2)
- warrickball (2)
- sharanbngr (2)
- plaplant (2)
- bruce-edelman (1)
- chase-kimball (1)
- asb5468 (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
-
Total downloads:
- pypi 526 last-month
-
Total dependent packages: 3
(may contain duplicates) -
Total dependent repositories: 1
(may contain duplicates) - Total versions: 25
- Total maintainers: 1
pypi.org: gwpopulation
Unified population inference
- Homepage: https://github.com/ColmTalbot/gwpopulation
- Documentation: https://gwpopulation.readthedocs.io/
- License: MIT License
-
Latest release: 1.2.1
published 9 months ago
Rankings
Maintainers (1)
conda-forge.org: gwpopulation
- Homepage: https://github.com/ColmTalbot/gwpopulation
- License: MIT
-
Latest release: 0.8.1
published about 3 years ago
Rankings
Dependencies
- ipython_genutils *
- jinja2 *
- nbsphinx *
- numpydoc *
- pandoc *
- pygments *
- sphinx *
- sphinx_rtd_theme *
- astropy *
- bilby *
- numpy >=1.16
- pandas *
- scipy *
- tqdm *
- actions/checkout v2 composite
- actions/setup-python v2 composite
- peaceiris/actions-gh-pages v3 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/upload-artifact v2 composite
- codecov/codecov-action v1.2.1 composite
- actions/checkout master composite
- actions/setup-python v1 composite
- pypa/gh-action-pypi-publish master composite
- jupyter * test
- nbconvert * test
- pre-commit * test
- pytest-cov * test