GWPopulation

GWPopulation: Hardware agnostic population inference for compact binaries and beyond - Published in JOSS (2025)

https://github.com/colmtalbot/gwpopulation

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

Mathematics Computer Science - 63% confidence
Last synced: 4 months ago · JSON representation ·

Repository

CPU/GPU agnostic gravitational-wave population inference

Basic Info
Statistics
  • Stars: 49
  • Watchers: 1
  • Forks: 56
  • Open Issues: 9
  • Releases: 15
Created almost 7 years ago · Last pushed 7 months ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md


DOI Python package codecov Versions Conda Downloads

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

JOSS Publication

GWPopulation: Hardware agnostic population inference for compact binaries and beyond
Published
May 29, 2025
Volume 10, Issue 109, Page 7753
Authors
Colm Talbot ORCID
Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA
Amanda Farah ORCID
Department of Physics, University of Chicago, Chicago, IL 60637, USA
Shanika Galaudage ORCID
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
Jacob Golomb ORCID
Department of Physics, California Institute of Technology, Pasadena, CA 91125, USA, LIGO Laboratory, California Institute of Technology, Pasadena, CA 91125, USA
Hui Tong ORCID
School of Physics and Astronomy, Monash University, VIC 3800, Australia, OzGrav: The ARC Centre of Excellence for Gravitational Wave Discovery, Clayton VIC 3800, Australia
Editor
Paul La Plante ORCID
Tags
astronomy gravitational waves hierarchical inference

Citation (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

All Time
  • Total Commits: 291
  • Total Committers: 8
  • Avg Commits per committer: 36.375
  • Development Distribution Score (DDS): 0.608
Past Year
  • Commits: 41
  • Committers: 4
  • Avg Commits per committer: 10.25
  • Development Distribution Score (DDS): 0.366
Top Committers
Name Email 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
enhancement (2) good first issue (1) bug (1)
Pull Request Labels
bug (2)

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

  • Versions: 22
  • Dependent Packages: 2
  • Dependent Repositories: 1
  • Downloads: 526 Last month
Rankings
Forks count: 6.8%
Downloads: 9.8%
Dependent packages count: 10.1%
Average: 12.4%
Stargazers count: 13.7%
Dependent repos count: 21.6%
Maintainers (1)
Last synced: 4 months ago
conda-forge.org: gwpopulation
  • Versions: 3
  • Dependent Packages: 1
  • Dependent Repositories: 0
Rankings
Dependent packages count: 28.8%
Forks count: 29.4%
Dependent repos count: 34.0%
Average: 35.0%
Stargazers count: 47.8%
Last synced: 4 months ago

Dependencies

pages_requirements.txt pypi
  • ipython_genutils *
  • jinja2 *
  • nbsphinx *
  • numpydoc *
  • pandoc *
  • pygments *
  • sphinx *
  • sphinx_rtd_theme *
requirements.txt pypi
  • astropy *
  • bilby *
  • numpy >=1.16
  • pandas *
  • scipy *
  • tqdm *
.github/workflows/pages.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • peaceiris/actions-gh-pages v3 composite
.github/workflows/python-package.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • actions/upload-artifact v2 composite
  • codecov/codecov-action v1.2.1 composite
.github/workflows/publish-to-pypi.yml actions
  • actions/checkout master composite
  • actions/setup-python v1 composite
  • pypa/gh-action-pypi-publish master composite
test_requirements.txt pypi
  • jupyter * test
  • nbconvert * test
  • pre-commit * test
  • pytest-cov * test
pyproject.toml pypi
setup.py pypi