pyspeckit

Python Spectroscopic Toolkit

https://github.com/pyspeckit/pyspeckit

Science Score: 64.0%

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
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DOI references
✓
Academic publication links
Links to: zenodo.org
✓
Committers with academic emails
9 of 30 committers (30.0%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (13.2%) to scientific vocabulary

Keywords from Contributors

astronomy astropy astropy-affiliated photometry source-detection wx tk comets qt gtk

Last synced: 10 months ago · JSON representation ·

Repository

Python Spectroscopic Toolkit

Basic Info

Host: GitHub
Owner: pyspeckit
License: mit
Language: Python
Default Branch: master
Size: 35.2 MB

Statistics

Stars: 107
Watchers: 12
Forks: 85
Open Issues: 76
Releases: 14

Created over 13 years ago · Last pushed 12 months ago

Metadata Files

Readme Changelog License Citation

README.rst

PySpecKit Spectroscopic Toolkit
-------------------------------

* Documentation: ``_
* Source pages: ``_
* ADS reference: https://ui.adsabs.harvard.edu/abs/2022AJ....163..291G/abstract

This is a code framework designed to allow for analysis of spectroscopic data
from a wide variety of astronomical instruments.  It is motivated by the lack
of general spectroscopic analysis tools applicable at multiple wavelengths
(compare to IRAF, SPLAT, etc. - these are wavelength-specific and/or do not
make user scripting easy).

Initial implementation focuses on optical and radio applications, e.g.
gaussian and voigt profile fitting, baseline/continuum fitting, and equivalent
width measurements.  However, the design is meant to be extensible.  We want
additional features to be trivial to implement.

In that vein, there is a growing set of spectral models implemented.  The
model and hyperfinemodel classes makes
model implementation quite straightforward, if not trivial (you still have to
plug in the right frequency offsets and relative line strengths).

Plotting is straightforward, as is usually the case with matplotlib-based
codes.  We have a few different methods of error bar plotting implemented, a
decent (and expanding) units class for pretty printing of spectroscopic units,
and different methods of fit plotting.

We're also looking for more users to give us more use cases!  Contact us
at pyspeckit@gmail.com or post `issues
`_


Requirements:
`astropy `_
`matplotlib `_
`numpy `_

Optional:
`scipy `_
`lmfit `_
`lineid_plot `_
`spectral-cube `_

Authors:
`Adam Ginsburg `_ and several others.

Contributors: (see https://github.com/pyspeckit/pyspeckit/graphs/contributors)

 * Erik Rosolowsky (Ammonia models, RADEX-based models)
 * Jordan Mirocha (optical line labeling)
 * Vlas Sokolov (cube fitting, ammonia and N2H+ modeling)
 * Miguel de Val-Borro (CLASS file reading, python3 compatibility, bugfixes)
 * Brigitta Sipocz (internals & logistics)
 * Jaime Pineda (N2D+, N2H+ models, bugfixes)
 * Allison Youngblood (H2 model fit)
 * Taylor Hogge (Ammonia models)
 * Dinos Kousidis (ESO summer student - Astropy integration)
 * Mike Lum (EQW fitter)
 * Matt Craig, Erik Tollerud, Thomas Robitaille (minor - Astropy integration)


The PySpecKit logo uses the Voyager 1 image of Earth known as the "Pale Blue Dot"
[ `original source `_ |  `reprocessed image `_ ]


.. image:: https://zenodo.org/badge/6116896.svg
   :target: https://zenodo.org/badge/latestdoi/6116896

pyspeckit development has been supported by the NSF under grants AST 2008101 and CAREER 2142300

.. image:: https://www.nsf.gov/news/mmg/media/images/nsf%20logo_ba604992-ed6d-46a7-8f5b-151b1c3e17e3.jpg
    :target:  https://www.nsf.gov/policies/images/NSF_Official_logo_High_Res_1200ppi.png
    :width: 200
# ReadTheDocs webhook test

Owner

Name: pyspeckit
Login: pyspeckit
Kind: organization

Repositories: 5
Profile: https://github.com/pyspeckit

Citation (CITATION.cff)

cff-version: 1.0.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Ginsburg"
  given-names: "Adam"
  orcid: "https://orcid.org/0000-0001-6431-9633"
- family-names: "Sokolov"
  given-names: "Vlas"
  orcid: "https://orcid.org/0000-0002-5327-4289"
- family-names: "de Val-Borro"
  given-names: "Miguel"
  orcid: "https://orcid.org/0000-0002-0455-9384"
- family-names: "Rosolowsky"
  given-names: "Erik"
  orcid: "https://orcid.org/0000-0002-5204-2259"
- family-names: "Pineda"
  given-names: "Jaime"
  orcid: "https://orcid.org/0000-0002-3972-1978"
- family-names: "Sipőcz"
  given-names: "Brigitta"
  orcid: "https://orcid.org/0000-0002-3713-6337"
- family-names: "Henshaw"
  given-names: "Jonathan"
  orcid: "https://orcid.org/0000-0001-9656-7682"
version: 1.0.0
date-released: 2022-04-11
url: "https://ui.adsabs.harvard.edu/abs/2011ascl.soft09001G/abstract"
preferred-citation:
  type: article
  url: "https://ui.adsabs.harvard.edu/abs/2022AJ....163..291G/abstract"
  doi: 10.3847/1538-3881/ac695a
  journal: The Astronomical Journal
  volume: 163
  issue: 6
  year: 2022
  month: 6
  start: 291
  end: 302
  authors:
  - family-names: "Ginsburg"
    given-names: "Adam"
    orcid: "https://orcid.org/0000-0001-6431-9633"
  - family-names: "Sokolov"
    given-names: "Vlas"
    orcid: "https://orcid.org/0000-0002-5327-4289"
  - family-names: "de Val-Borro"
    given-names: "Miguel"
    orcid: "https://orcid.org/0000-0002-0455-9384"
  - family-names: "Rosolowsky"
    given-names: "Erik"
    orcid: "https://orcid.org/0000-0002-5204-2259"
  - family-names: "Pineda"
    given-names: "Jaime"
    orcid: "https://orcid.org/0000-0002-3972-1978"
  - family-names: "Sipőcz"
    given-names: "Brigitta"
    orcid: "https://orcid.org/0000-0002-3713-6337"
  - family-names: "Henshaw"
    given-names: "Jonathan"
    orcid: "https://orcid.org/0000-0001-9656-7682"
  title: "Pyspeckit: A Spectroscopic Analysis and Plotting Package"

GitHub Events

Total

Issues event: 8
Watch event: 5
Issue comment event: 6
Push event: 5
Pull request event: 1
Fork event: 3
Create event: 1

Last Year

Issues event: 8
Watch event: 5
Issue comment event: 6
Push event: 5
Pull request event: 1
Fork event: 3
Create event: 1

Committers

Last synced: about 3 years ago

All Time

Total Commits: 2,696
Total Committers: 30
Avg Commits per committer: 89.867
Development Distribution Score (DDS): 0.165

Past Year

Commits: 24
Committers: 2
Avg Commits per committer: 12.0
Development Distribution Score (DDS): 0.042

Top Committers

Name	Email	Commits
Adam Ginsburg (keflavich)	k**h@g**m	2,250
Dinos Kousidis	d**s@t**e	81
Jordan Mirocha	m**j@g**m	69
Vlas Sokolov	v**5@g**m	59
Dinos Kousidis	k**s@c**h	55
Adam Ginsburg	a**g@g**m	25
Brigitta Sipocz	b**z@g**m	25
Jaime Pineda	j**a@g**m	22
Adam Ginsburg	k**h@y**m	17
Allison Youngblood	a**d@g**m	16
Miguel de Val-Borro	m**l@g**m	15
Miguel de Val-Borro	m**l@a**t	13
Jordan Mirocha	j**a@c**u	12
Erik Rosolowsky	r**y@u**a	7
Erik Rosolowsky	e**w@u**a	6
Igor Petrashkevich	6**a@u**m	4
Matt Craig	m**g@g**m	3
thogge	t**e@b**u	2
Erwan Pannier	e**r@g**m	2
Thomas Robitaille	t**e@g**m	2
Erik Tollerud	e**d@g**m	2
The Gitter Badger	b**r@g**m	1
Luca Beale	l**u@v**u	1
WBowdery	1**y@u**m	1
George C. Privon	g**n@a**l	1
Erik Rosolowsky	e**w@u**a	1
Mike Lum	m**m@m**m	1
pyspeckit	p**t@g**m	1
Alyssa Bulatek	a**k@u**u	1
ttshimiz	t**u@a**u	1

Committer Domains (Top 20 + Academic)

ualberta.ca: 2 astro.umd.edu: 1 ufl.edu: 1 mac.com: 1 ualbert.ca: 1 astro.puc.cl: 1 virginia.edu: 1 gitter.im: 1 bu.edu: 1 colorado.edu: 1 archlinux.net: 1 cern.ch: 1 tum.de: 1

Issues and Pull Requests

Last synced: 10 months ago

All Time

Total issues: 55
Total pull requests: 61
Average time to close issues: about 1 month
Average time to close pull requests: 2 months
Total issue authors: 38
Total pull request authors: 14
Average comments per issue: 4.09
Average comments per pull request: 1.33
Merged pull requests: 49
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 4
Pull requests: 1
Average time to close issues: 2 days
Average time to close pull requests: N/A
Issue authors: 4
Pull request authors: 1
Average comments per issue: 0.5
Average comments per pull request: 0.0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

mcyc (4)
rbaer25 (4)
boxcwang (3)
pllim (3)
atanukoley (3)
yyamato-as (2)
bsipocz (2)
jdhenshaw (2)
SpandanCh (2)
hamid-hassani (2)
AlexSokokoliuk (2)
ryabukhinaol (1)
sspezzano (1)
sunhaomin666 (1)
teuben (1)

Pull Request Authors

keflavich (34)
bsipocz (4)
migueldvb (4)
vlas-sokolov (4)
mcyc (3)
jpinedaf (3)
IgorPetra (3)
low-sky (2)
mwcraig (2)
erwanp (2)
teuben (1)
abulatek (1)
ashleythomasbarnes (1)
atanukoley (1)
ElettraR (1)

Top Labels

Issue Labels

ammonia (5) bug (2)

Pull Request Labels

ammonia (8)

Packages

Total packages: 1
Total downloads: unknown

Total dependent packages: 0
Total dependent repositories: 0
Total versions: 1

conda-forge.org: pyspeckit

Homepage: http://pyspeckit.readthedocs.org
License: MIT
Latest release: 0.1.21
published over 7 years ago

Versions: 1
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Forks count: 20.0%

Stargazers count: 31.9%

Dependent repos count: 34.0%

Average: 34.3%

Dependent packages count: 51.2%

Last synced: 10 months ago

Dependencies

setup.py pypi

astropy *
matplotlib >=1.4
numpy *

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Open Source Science

pyspeckit

Science Score: 64.0%

Keywords from Contributors

Repository

Basic Info

Statistics

Metadata Files

README.rst

Owner

Citation (CITATION.cff)

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

conda-forge.org: pyspeckit

Rankings

Dependencies