PypeIt
PypeIt: The Python Spectroscopic Data Reduction Pipeline - Published in JOSS (2020)
Science Score: 95.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 8 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: arxiv.org, joss.theoj.org, zenodo.org -
✓Committers with academic emails
19 of 63 committers (30.2%) from academic institutions -
○Institutional organization owner
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✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords from Contributors
astronomy
mcmc
Scientific Fields
Mathematics
Computer Science -
84% confidence
Artificial Intelligence and Machine Learning
Computer Science -
83% confidence
Last synced: 4 months ago
·
JSON representation
Repository
The Python Spectroscopic Data Reduction Pipeline
Basic Info
- Host: GitHub
- Owner: pypeit
- License: bsd-3-clause
- Language: Python
- Default Branch: release
- Size: 1.34 GB
Statistics
- Stars: 185
- Watchers: 24
- Forks: 118
- Open Issues: 117
- Releases: 28
Created over 10 years ago
· Last pushed 4 months ago
Metadata Files
Readme
Changelog
License
Citation
README.rst
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.. |JOSS| image:: https://joss.theoj.org/papers/10.21105/joss.02308/status.svg
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.. |arxiv| image:: https://img.shields.io/badge/arxiv-2005.06505-black
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.. |astropy| image:: http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat
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PypeIt |forks| |stars|
======================
|github| |pypi| |pypi_downloads| |License|
|docs| |CITests|
|DOI_latest| |JOSS| |arxiv|
PypeIt is a Python package for semi-automated reduction of astronomical
spectroscopic data. Its algorithms build on decades-long development of previous
data reduction pipelines by the developers. The reduction procedure - including
a complete list of the input parameters and available functionality - is
provided by our `online documentation
`__.
PypeIt is designed to be used by both advanced spectroscopists with prior data
reduction expertise and astronomers with no prior experience of data reduction.
It is highly configurable and designed to be applied to any standard
slit-imaging spectrograph, including long-slit, multi-slit, as well as
cross-dispersed echelle spectra. **The spectrographs that PypeIt can be used
with are listed** `here
`__.
Also note that `this link
`__
contains some useful information about reducing data
with certain instruments that you might also find helpful.
In addition to our primary code base, we maintain an extensive `development
suite `__ primarily used to
perform multiple layers of code testing, from basic unit tests to full
end-to-end tests of all our command-line scripts. **If you are new to PypeIt,
you are encouraged to pull example data from the DevSuite for your instrument
when learning how to use the software.**
----
.. _community:
Community
+++++++++
As a project, PypeIt is committed to fostering a welcoming, diverse, and
inclusive community. As a member of this community you are expected to read and
follow our `Code of Conduct
`__.
Along with our extensive `online documentation
`__, we encourage the PypeIt user
base to communicate via our `PypeIt Users Slack `__.
All are welcome to join using `this invitation link `__.
If you find a bug (particularly one that is experienced by others in the Users
Slack) or have a feature request, please `submit an issue
`__.
----
Citation
++++++++
If you use PypeIt in your research, please cite the following publications
(we provide the relevant `BibTeX entries
`__
for your convenience):
- Prochaska et al. (2020, JOSS): `arXiv `__, `JOSS `__
- Prochaska et al. (2020, Zenodo): `Zenodo `__
If there is no place to include the relevant citations in the text of
the publication, please include the following acknowledgement
(provided in latex and using the provided `BibTeX entries
`__):
.. code-block:: latex
This research made use of \ttfamily{PypeIt},\footnote{\url{https://pypeit.readthedocs.io/en/latest/}}
a Python package for semi-automated reduction of astronomical slit-based spectroscopy
\citep{pypeit:joss_pub, pypeit:zenodo}.
----
Funding
+++++++
PypeIt receives direct funding from the following sources:
* NASA ADAP (A20-0412, 20-1018)
* W.M. Keck Observatory
* University of California Observatories
We also rely on important in-kind contributions from individuals at
Caltech, the Multiple Mirror Observatory, and elsewhere.
----
Developers
++++++++++
PypeIt is an open-source, community developed package. Astronomers are
encouraged to join the project and should review our `Code of Conduct
`__ and `Development
Guidelines `__.
We would also appreciate if you contact the lead developers (JXP, JFH) before
beginning development activities.
The following persons have contributed substantially to the
development of PypeIt.
* J Xavier Prochaska (JXP)
* Joseph F. Hennawi (JFH)
* Kyle B. Westfall
* Ryan J. Cooke
* Feige Wang
* Tiffany Hsyu
* Frederick B. Davies
* Emanuele Paolo Farina
* Debora Pelliccia
* James Reichwein
* Milan Roberson
* Timothy Pickering
* Timothy Ellsworth-Bowers
* Gregory Simonian
* Heather Martin
Owner
- Name: PypeIt
- Login: pypeit
- Kind: organization
- Repositories: 7
- Profile: https://github.com/pypeit
JOSS Publication
PypeIt: The Python Spectroscopic Data Reduction Pipeline
Published
December 16, 2020
Volume 5, Issue 56, Page 2308
Authors
J. Xavier Prochaska
University of California, Santa Cruz, Kavli Institute for the Physics and Mathematics of the Universe
University of California, Santa Cruz, Kavli Institute for the Physics and Mathematics of the Universe
Feige Wang
Kavli Institute for the Physics and Mathematics of the Universe, Steward Observatory, University of Arizona
Kavli Institute for the Physics and Mathematics of the Universe, Steward Observatory, University of Arizona
Frederick B. Davies
Kavli Institute for the Physics and Mathematics of the Universe, Lawrence Berkeley National Laboratory
Kavli Institute for the Physics and Mathematics of the Universe, Lawrence Berkeley National Laboratory
Tags
astronomy data reduction spectroscopyGitHub Events
Total
- Create event: 62
- Release event: 4
- Issues event: 55
- Watch event: 20
- Delete event: 66
- Member event: 1
- Issue comment event: 173
- Push event: 492
- Pull request event: 115
- Pull request review comment event: 245
- Pull request review event: 272
- Fork event: 18
Last Year
- Create event: 62
- Release event: 4
- Issues event: 55
- Watch event: 20
- Delete event: 66
- Member event: 1
- Issue comment event: 173
- Push event: 493
- Pull request event: 115
- Pull request review comment event: 245
- Pull request review event: 272
- Fork event: 18
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| profxj | x****r@u****g | 3,427 |
| joe | j****e@p****u | 2,447 |
| rcooke-ast | r****t@g****m | 2,198 |
| Kyle Westfall | w****l@u****g | 1,785 |
| Debora Pelliccia | d****a@u****g | 810 |
| Feige Wang | f****o@g****m | 469 |
| rcooke-ast | r****t@g****m | 297 |
| Timothy P. Ellsworth Bowers | t****s@l****u | 263 |
| profxj | x****r@u****g | 204 |
| EmAstro | e****a@g****m | 176 |
| T. E. Pickering | t****g@g****m | 172 |
| Milan Roberson | f****9@g****m | 128 |
| Adolfo Carvalho | a****o@g****m | 128 |
| Dusty Reichwein | d****y@u****g | 114 |
| Frederick Davies | d****s@m****e | 92 |
| thsyu | t****u@u****u | 86 |
| Dusty Reichwein | j****e@u****u | 65 |
| Frederick Davies | d****s@p****u | 47 |
| SunilSimha | s****5@g****m | 40 |
| Asher Wasserman | a****n@g****m | 38 |
| Tang Shenli | t****g@T****l | 28 |
| ShaneBechtel | s****l@y****m | 22 |
| Dave | d****s@i****s | 21 |
| suksien | h****n@y****y | 20 |
| Joseph Hennawi | j****i | 19 |
| Alexa Villaume | a****m@u****u | 18 |
| Dave | d****e@g****m | 17 |
| hnmartin | 1****n | 17 |
| ntejos | n****s@g****m | 17 |
| Bradford Holden | b****n@g****m | 16 |
| and 33 more... | ||
Committer Domains (Top 20 + Academic)
ucolick.org: 5
ucsc.edu: 4
physics.ucsb.edu: 2
mpia.de: 2
lowell.edu: 1
iac.es: 1
yahoo.com.my: 1
physics.harvard.edu: 1
qub.ac.uk: 1
resnet-10-245.resnet.ucsb.edu: 1
uw.edu: 1
hotmail.it: 1
strw.leidenuniv.nl: 1
berkeley.edu: 1
alunmni.ku.dk: 1
zestar.uio.no: 1
resnet-11-128.resnet.ucsb.edu: 1
resnet-188-73.resnet.ucsb.edu: 1
ucdavis.edu: 1
4angle.com: 1
nd.edu: 1
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 121
- Total pull requests: 458
- Average time to close issues: 3 months
- Average time to close pull requests: 15 days
- Total issue authors: 61
- Total pull request authors: 28
- Average comments per issue: 1.63
- Average comments per pull request: 2.16
- Merged pull requests: 394
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 39
- Pull requests: 137
- Average time to close issues: 26 days
- Average time to close pull requests: 9 days
- Issue authors: 21
- Pull request authors: 18
- Average comments per issue: 0.77
- Average comments per pull request: 1.11
- Merged pull requests: 96
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- rcooke-ast (15)
- kbwestfall (13)
- jhennawi (12)
- tbowers7 (7)
- debora-pe (5)
- opkuhn (3)
- profxj (3)
- jasonpeng17 (2)
- xiejuan-dot (2)
- jhod0 (2)
- orenir49 (2)
- ddobie (2)
- badpandabear (2)
- fawkez (2)
- Mao-PH (2)
Pull Request Authors
- kbwestfall (104)
- rcooke-ast (87)
- debora-pe (67)
- profxj (36)
- tbowers7 (24)
- badpandabear (23)
- Adolfo1519 (19)
- jhennawi (17)
- freddavies (17)
- ejeschke (9)
- SunilSimha (8)
- tepickering (8)
- wmorgali (6)
- Raindogjones (5)
- jhod0 (4)
Top Labels
Issue Labels
bug (10)
enhancement (9)
development (5)
docs (2)
IFU (2)
Pull Request Labels
Packages
- Total packages: 2
-
Total downloads:
- pypi 257 last-month
-
Total dependent packages: 3
(may contain duplicates) -
Total dependent repositories: 4
(may contain duplicates) - Total versions: 59
- Total maintainers: 2
pypi.org: pypeit
PypeIt Spectroscopic Reduction
- Homepage: https://github.com/pypeit/PypeIt
- Documentation: https://pypeit.readthedocs.io/
- License: BSD-3
-
Latest release: 1.17.4
published 7 months ago
Rankings
Dependent packages count: 3.2%
Forks count: 4.7%
Stargazers count: 6.3%
Average: 7.0%
Dependent repos count: 8.9%
Downloads: 11.7%
Maintainers (2)
Last synced:
4 months ago
conda-forge.org: pypeit
PypeIt is a Python package for semi-automated reduction of astronomical, spectroscopic data. Its algorithms build on decades-long development of previous data reduction pipelines by the developers. PypeIt is a set of commands designed to perform the reduction without any additional coding.
- Homepage: https://github.com/pypeit/PypeIt
- License: BSD-3-Clause
-
Latest release: 1.10.0
published over 3 years ago
Rankings
Forks count: 19.8%
Dependent repos count: 24.4%
Average: 26.1%
Dependent packages count: 29.0%
Stargazers count: 31.2%
Last synced:
4 months ago
Dependencies
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