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CWInPy

CWInPy: A Python package for inference with continuous gravitational-wave signals from pulsars - Published in JOSS (2022)

https://github.com/cwinpy/cwinpy

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 4 DOI reference(s) in README and JOSS metadata
  • ✓
    Academic publication links
    Links to: joss.theoj.org
  • ✓
    Committers with academic emails
    4 of 6 committers (66.7%) from academic institutions
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software

Scientific Fields

Mathematics Computer Science - 84% confidence
Last synced: 6 months ago · JSON representation ·

Repository

CW Inference in Python

Basic Info
  • Host: GitHub
  • Owner: cwinpy
  • License: mit
  • Language: Python
  • Default Branch: master
  • Size: 189 MB
Statistics
  • Stars: 8
  • Watchers: 2
  • Forks: 6
  • Open Issues: 0
  • Releases: 1
Created about 7 years ago · Last pushed 10 months ago
Metadata Files
Readme Changelog License Citation

README.md

CW Inference in Python

A Python module for performing Bayesian inference on continuous gravitational-wave signals from pulsars

Documentation Status Build Status codecov PyPI version Anaconda-Server Badge DOI

Owner

  • Name: cwinpy
  • Login: cwinpy
  • Kind: organization

JOSS Publication

CWInPy: A Python package for inference with continuous gravitational-wave signals from pulsars
Published
September 29, 2022
DOI
Volume 7, Issue 77, Page 4568
Authors
Matthew Pitkin ORCID
Department of Physics, Lancaster University, Lancaster, UK, LA1 4YB, School of Physics and Astronomy, University of Glasgow, University Avenue, Glasgow, UK, G12 8QQ
Editor
Dan Foreman-Mackey ORCID
Tags
gravitational waves pulsars
View PDF Review Thread Software Archive

Citation (CITATION.cff) 

cff-version: "1.2.0"
authors:
- family-names: Pitkin
  given-names: Matthew
  orcid: "https://orcid.org/0000-0003-4548-526X"
contact:
- family-names: Pitkin
  given-names: Matthew
  orcid: "https://orcid.org/0000-0003-4548-526X"
doi: 10.5281/zenodo.7121400
message: If you use this software, please cite the article in the
  Journal of Open Source Software.
preferred-citation:
  authors:
  - family-names: Pitkin
    given-names: Matthew
    orcid: "https://orcid.org/0000-0003-4548-526X"
  date-published: 2022-09-29
  doi: 10.21105/joss.04568
  issn: 2475-9066
  issue: 77
  journal: Journal of Open Source Software
  publisher:
    name: Open Journals
  start: 4568
  title: "CWInPy: A Python package for inference with continuous
    gravitational-wave signals from pulsars"
  type: article
  url: "https://joss.theoj.org/papers/10.21105/joss.05582"
  volume: 7
title: "CWInPy: A Python package for inference with continuous gravitational-wave signals from pulsars"

GitHub Events

Total
  • Push event: 13
  • Create event: 2
Last Year
  • Push event: 13
  • Create event: 2

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 1,553
  • Total Committers: 6
  • Avg Commits per committer: 258.833
  • Development Distribution Score (DDS): 0.01
Past Year
  • Commits: 61
  • Committers: 3
  • Avg Commits per committer: 20.333
  • Development Distribution Score (DDS): 0.049
Top Committers
Name Email Commits
Matthew Pitkin m****n@l****g 1,537
duncan.macleod d****d@l****g 7
Dan Foreman-Mackey d****m@d****o 6
alhewitt 7****t 1
Karl Wette k****e@a****u 1
Hank Hua h****a@a****u 1
Committer Domains (Top 20 + Academic)
anu.edu.au: 2 ligo.org: 2 dfm.io: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 2
  • Total pull requests: 6
  • Average time to close issues: 14 days
  • Average time to close pull requests: 4 days
  • Total issue authors: 1
  • Total pull request authors: 3
  • Average comments per issue: 2.5
  • Average comments per pull request: 2.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • duncanmmacleod (2)
Pull Request Authors
  • duncanmmacleod (3)
  • alhewitt (2)
  • dfm (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 13 last-month
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 2
    (may contain duplicates)
  • Total versions: 36
  • Total maintainers: 1
pypi.org: cwinpy

A Python module for Bayesian inference with continuous gravitational-wave sources

  • Versions: 27
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 13 Last month
Rankings
Dependent packages count: 10.1%
Average: 18.4%
Dependent repos count: 21.6%
Downloads: 23.4%
Maintainers (1)
mattpitkin
Last synced: 6 months ago
conda-forge.org: cwinpy

A Python module for performing Bayesian inference for continuous gravitational-wave signals from pulsars.

  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 1
Rankings
Dependent repos count: 24.4%
Average: 46.7%
Dependent packages count: 51.6%
Forks count: 54.2%
Stargazers count: 56.5%
Last synced: 6 months ago

Dependencies

.github/workflows/build.yml actions
  • actions/checkout v3 composite
pyproject.toml pypi
  • appdirs *
  • arby *
  • astropy *
  • bilby >= 2.0.1
  • configargparse *
  • corner >= 2.2.1
  • gwosc >= 0.5.4
  • gwpy >= 2.1.1
  • healpy *
  • htcondor >= 10.0.0
  • lalsuite >= 7.8
  • lintegrate >= 0.1.7
  • matplotlib *
  • numba >= 0.5.0
  • numpy >= 1.17.0
  • pesummary >= 1.0.0
  • psrqpy >= 1.1.7
  • requests *
  • scipy *
  • simpleeval *
  • solar-system-ephemerides >=1.0.0
setup.py pypi