exoplanet

exoplanet: Gradient-based probabilistic inference for exoplanet data & other astronomical time series - Published in JOSS (2021)

https://github.com/exoplanet-dev/exoplanet

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 1 DOI reference(s) in JOSS metadata
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Academic publication links
✓
Committers with academic emails
4 of 17 committers (23.5%) from academic institutions
○
Institutional organization owner
✓
JOSS paper metadata
Published in Journal of Open Source Software

Keywords

astronomy astrophysics bayesian-inference exoplanet exoplanet-radial-velocities exoplanet-transits exoplanets gaussian-processes mcmc pymc3 time-series time-series-analysis

Keywords from Contributors

dynamics probabilistic-data-analysis mcmc-sampler sunpy hydrology mesh astropy gravitational-lensing physics energy-system

Scientific Fields

Mathematics Computer Science - 84% confidence

Last synced: 4 months ago · JSON representation ·

Repository

Fast & scalable MCMC for all your exoplanet needs!

Basic Info

Host: GitHub
Owner: exoplanet-dev
License: mit
Language: Python
Default Branch: main
Homepage: https://docs.exoplanet.codes
Size: 14.8 MB

Statistics

Stars: 225
Watchers: 19
Forks: 54
Open Issues: 33
Releases: 40

Topics

astronomy astrophysics bayesian-inference exoplanet exoplanet-radial-velocities exoplanet-transits exoplanets gaussian-processes mcmc pymc3 time-series time-series-analysis

Created over 7 years ago · Last pushed 4 months ago

Metadata Files

Readme Changelog Contributing License Code of conduct Citation

exoplanet

Fast & scalable MCMC for all your exoplanet needs! exoplanet is a toolkit for probabilistic modeling of time series data in astronomy with a focus on observations of exoplanets, using PyMC. PyMC is a flexible and high-performance model-building language and inference engine that scales well to problems with a large number of parameters. exoplanet extends PyMC's language to support many of the custom functions and distributions required when fitting exoplanet datasets.

Read the full documentation at docs.exoplanet.codes.

Installation

The quickest way to get started is to use pip:

bash python -m pip install "exoplanet[pymc]"

Note that you will need Python (>=3.6) installed for this to work, but then this will install all the required dependencies.

Check out the main installation documentation page for more options.

Usage

Check out the tutorials and API docs on the docs page for example usage and much more info. You can also find more in-depth examples on the exoplanet case studies page.

Contributing

exoplanet is an open-source project, and we would love it if you wanted to contribute. Check out the developer documentation for more info about getting started.

Owner

Name: exoplanet
Login: exoplanet-dev
Kind: organization

Website: https://exoplanet.codes
Repositories: 8
Profile: https://github.com/exoplanet-dev

This is where we develop the "exoplanet" library

JOSS Publication

exoplanet: Gradient-based probabilistic inference for exoplanet data & other astronomical time series

Published

June 22, 2021

DOI

10.21105/joss.03285

Volume 6, Issue 62, Page 3285

Authors

Daniel Foreman-Mackey

Center for Computational Astrophysics, Flatiron Institute, New York, NY, USA

Rodrigo Luger

Center for Computational Astrophysics, Flatiron Institute, New York, NY, USA, Virtual Planetary Laboratory, University of Washington, Seattle, WA, USA

Eric Agol

Department of Astronomy, University of Washington, University of Washington, Seattle, WA, USA, Virtual Planetary Laboratory, University of Washington, Seattle, WA, USA

Thomas Barclay

Center for Space Sciences and Technology, University of Maryland, Baltimore County, Baltimore, MD, USA

Luke G. Bouma

Department of Astrophysical Sciences, Princeton University, Princeton, NJ, USA

Timothy D. Brandt

Department of Physics, University of California, Santa Barbara, Santa Barbara, CA, USA

Ian Czekala

Department of Astronomy and Astrophysics, The Pennsylvania State University, University Park, PA, USA, Center for Exoplanets and Habitable Worlds, The Pennsylvania State University, University Park, PA, USA, Center for Astrostatistics, The Pennsylvania State University, University Park, PA, USA, Institute for Computational and Data Sciences, The Pennsylvania State University, University Park, PA, USA

Trevor J. David

Center for Computational Astrophysics, Flatiron Institute, New York, NY, USA, Department of Astrophysics, American Museum of Natural History, New York, NY, USA

Jiayin Dong

Emily A. Gilbert

Department of Astronomy and Astrophysics, University of Chicago, Chicago, IL, USA

Tyler A. Gordon

Department of Astronomy, University of Washington, University of Washington, Seattle, WA, USA

Christina Hedges

NASA Ames Research Center, Moffett Field, CA, USA, Bay Area Environmental Research Institute, Moffett Field, CA, USA

Daniel R. Hey

Sydney Institute for Astronomy, School of Physics, University of Sydney, Camperdown, New South Wales, Australia, Stellar Astrophysics Centre, Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark

Brett M. Morris

Center for Space and Habitability, University of Bern, Bern, Switzerland

Adrian M. Price-Whelan

Center for Computational Astrophysics, Flatiron Institute, New York, NY, USA

Arjun B. Savel

Department of Astronomy, University of Maryland, College Park, MD, USA

Editor

Arfon Smith

Citation (CITATION.cff)

cff-version: 1.1.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Foreman-Mackey
    given-names: Daniel
    orcid: https://orcid.org/0000-0002-9328-5652
  - family-names: Luger
    given-names: Rodrigo
    orcid: https://orcid.org/0000-0002-0296-3826
  - family-names: Agol
    given-names: Eric
    orcid: https://orcid.org/0000-0002-0802-9145
  - family-names: Barclay
    given-names: Thomas
    orcid: https://orcid.org/0000-0001-7139-2724
  - family-names: Bouma
    given-names: Luke G.
    orcid: https://orcid.org/0000-0002-0514-5538
  - family-names: Brandt
    given-names: Timothy D.
    orcid: https://orcid.org/0000-0003-2630-8073
  - family-names: Czekala
    given-names: Ian
    orcid: https://orcid.org/0000-0002-1483-8811
  - family-names: David
    given-names: Trevor J.
    orcid: https://orcid.org/0000-0001-6534-6246
  - family-names: Dong
    given-names: Jiayin
    orcid: https://orcid.org/0000-0002-3610-6953
  - family-names: Gilbert
    given-names: Emily A.
    orcid: https://orcid.org/0000-0002-0388-8004
  - family-names: Gordon
    given-names: Tyler A.
    orcid: https://orcid.org/0000-0001-5253-1987
  - family-names: Hedges
    given-names: Christina
    orcid: https://orcid.org/0000-0002-3385-8391
  - family-names: Hey
    given-names: Daniel R.
    orcid: https://orcid.org/0000-0003-3244-5357
  - family-names: Morris
    given-names: Brett M.
    orcid: https://orcid.org/0000-0003-2528-3409
  - family-names: Price-Whelan
    given-names: Adrian M.
    orcid: https://orcid.org/0000-0003-0872-7098
  - family-names: Savel
    given-names: Arjun B.
    orcid: https://orcid.org/0000-0002-2454-768X
title: "exoplanet: Gradient-based probabilistic inference for exoplanet data & other astronomical time series"
version: "0.5.1"
doi: "10.5281/zenodo.1998447"
date-released: 2021-06-21

Papers & Mentions

Total mentions: 1

Exoplanet spectroscopy and photometry with the Twinkle space telescope

DOI: 10.1007/s10686-018-9611-4
OpenAlex ID: https://openalex.org/W3099906910
Published: December 2018

Last synced: 2 months ago

GitHub Events

Total

Issues event: 6
Watch event: 14
Delete event: 5
Issue comment event: 11
Push event: 25
Pull request event: 17
Fork event: 1
Create event: 5

Last Year

Issues event: 6
Watch event: 14
Delete event: 5
Issue comment event: 11
Push event: 25
Pull request event: 18
Fork event: 1
Create event: 5

Committers

Last synced: 5 months ago

All Time

Total Commits: 1,210
Total Committers: 17
Avg Commits per committer: 71.176
Development Distribution Score (DDS): 0.126

Past Year

Commits: 14
Committers: 2
Avg Commits per committer: 7.0
Development Distribution Score (DDS): 0.429

Top Committers

Name	Email	Commits
Dan F-M	f**y@g**m	1,058
pre-commit-ci[bot]	6****]	51
dependabot[bot]	4****]	34
Arjun Savel	a**l@b**u	18
Rodrigo Luger	r**r@g**m	11
Eric Agol	a**l@u**u	9
Ian Czekala	i**e@g**m	8
Adrian Price-Whelan	a**w@g**m	6
Christina Hedges	c**s@n**v	5
emilygilbert	e**2@g**m	2
Luke Bouma	l****a	2
exoplanetbot	e****t	1
Avi Vajpeyi	a**i@g**m	1
Greg Gilbert	g**t@a**u	1
Thomas Vandal	t**l@u**a	1
Timothy D Brandt	t**t@g**m	1
Tom Barclay	t**m@t**m	1

Committer Domains (Top 20 + Academic)

tombarclay.com: 1 umontreal.ca: 1 astro.ucla.edu: 1 nasa.gov: 1 uw.edu: 1 berkeley.edu: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 50
Total pull requests: 139
Average time to close issues: 3 months
Average time to close pull requests: about 1 month
Total issue authors: 37
Total pull request authors: 9
Average comments per issue: 2.38
Average comments per pull request: 0.46
Merged pull requests: 120
Bot issues: 2
Bot pull requests: 109

Past Year

Issues: 7
Pull requests: 24
Average time to close issues: 1 day
Average time to close pull requests: 6 days
Issue authors: 6
Pull request authors: 2
Average comments per issue: 1.14
Average comments per pull request: 0.0
Merged pull requests: 19
Bot issues: 2
Bot pull requests: 24

View more stats

Top Authors

Issue Authors

dfm (8)
grburgess (3)
dyahalomi (3)
xylm2021 (2)
dependabot[bot] (2)
Stefan-Physics (1)
ideasrule (1)
TeHanHunter (1)
JulioHC00 (1)
mjl192 (1)
ethankruse (1)
alina-Er (1)
ssagear (1)
dgegen (1)
gjgilbert (1)

Pull Request Authors

pre-commit-ci[bot] (56)
dependabot[bot] (53)
dfm (22)
gjgilbert (2)
vandalt (2)
avivajpeyi (1)
danhey (1)
dyahalomi (1)
lgbouma (1)

Top Labels

Issue Labels

bug (26) enhancement (10) documentation (9) joss (8) dependencies (3) github_actions (2)

Pull Request Labels

dependencies (53) github_actions (46) joss (2) documentation (1)

Packages

Total packages: 2
Total downloads:
- pypi 1,400 last-month

Total dependent packages: 5
(may contain duplicates)
Total dependent repositories: 35
(may contain duplicates)
Total versions: 50
Total maintainers: 1

pypi.org: exoplanet

Fast and scalable MCMC for all your exoplanet needs

Homepage: https://docs.exoplanet.codes
Documentation: https://exoplanet.readthedocs.io/
License: MIT
Latest release: 0.6.0
published over 1 year ago

Versions: 36
Dependent Packages: 5
Dependent Repositories: 35
Downloads: 1,400 Last month

Rankings

Dependent packages count: 2.3%

Dependent repos count: 2.5%

Average: 4.1%

Downloads: 7.4%

Maintainers (1)

danfm

Last synced: 4 months ago

conda-forge.org: exoplanet

exoplanet is a toolkit for probabilistic modeling of transit and/or radial velocity observations of exoplanets and other astronomical time series using PyMC3. PyMC3 is a flexible and high-performance model building language and inference engine that scales well to problems with a large number of parameters. exoplanet extends PyMC3's language to support many of the custom functions and distributions required when fitting exoplanet datasets.

Homepage: https://docs.exoplanet.codes
License: MIT
Latest release: 0.5.3
published about 3 years ago

Versions: 14
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Forks count: 22.9%

Stargazers count: 25.1%

Average: 33.3%

Dependent repos count: 34.0%

Dependent packages count: 51.2%

Last synced: 4 months ago

Dependencies

binder/requirements.txt pypi

corner *
emcee *
jupyterlab >=3.0
jupytext *
lightkurve *
matplotlib *
pymc3-ext >=0.1.0

.github/workflows/joss.yml actions

actions/checkout v3 composite
actions/upload-artifact v3 composite
docker://openjournals/paperdraft latest composite
peaceiris/actions-gh-pages v3.9.2 composite

.github/workflows/tests.yml actions

actions/checkout v3 composite
actions/download-artifact v3 composite
actions/setup-python v4 composite
actions/upload-artifact v3 composite
pypa/gh-action-pypi-publish v1.6.4 composite

docs/environment.yml conda

gcc_linux-64
gxx_linux-64
numpy
pip
python 3.9.*
scipy

exoplanet

Science Score: 100.0%

Keywords

Keywords from Contributors

Scientific Fields

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

exoplanet

Installation

Usage

Contributing

Owner

JOSS Publication

exoplanet: Gradient-based probabilistic inference for exoplanet data & other astronomical time series

Authors

Editor

Tags

Citation (CITATION.cff)

Papers & Mentions

Exoplanet spectroscopy and photometry with the Twinkle space telescope

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

pypi.org: exoplanet

Rankings

Maintainers (1)

conda-forge.org: exoplanet

Rankings

Dependencies