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transyto

https://github.com/jaalvarado-montes/transyto

Science Score: 31.0%

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
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: JAAlvarado-Montes
  • License: mit
  • Language: Python
  • Default Branch: develop
  • Size: 46.6 MB
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 3
  • Open Issues: 1
  • Releases: 0
Created over 6 years ago · Last pushed over 1 year ago
Metadata Files
Readme Changelog Contributing License Citation Authors

README.rst 

Let's detect Tránsyto(s)!
==========

**Tránsyto is a friendly-user package for doing transit photometry with Python.**

**Documentation: https://**

|test-badge| |pypi-badge| |pypi-downloads| |astropy-badge|

.. |pypi-badge| image:: https://img.shields.io/pypi/v/lightkurve.svg
                :target: https://pypi.python.org/pypi/lightkurve
.. |pypi-downloads| image:: https://pepy.tech/badge/lightkurve/month
                :target: https://pepy.tech/project/lightkurve/month
.. |test-badge| image:: https://github.com/JAAlvarado-Montes/transyto/workflows/transyto-build-test/badge.svg
                 :target: https://github.com/JAAlvarado-Montes/transyto/actions?query=workflow%3Atransyto-build-test
.. |astropy-badge| image:: https://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat
                   :target: http://www.astropy.org

**Tránsyto** is a community-developed, open-source Python package which offers a simple and user-friendly way
to analyse astronomical flux time-series data, with an emphasis on ground-based observations.

.. Image:: ./docs/source/_static/images/logo.png

This package aims at lowering the barrier for students, astronomers,
and citizen scientists interested in analyzing Kepler and TESS space telescope data.
It does this by providing **high-quality building blocks and tutorials**
which enable both hand-tailored data analyses and advanced automated pipelines.


Documentation
-------------

Read the documentation at `https:// `_.


Quickstart
----------

Please visit our quickstart guide at `https:// `_.


Contributing
------------

We welcome community contributions!
Please read the  guidelines at `https:// `_.


Citing
------

If you find Tránsyto useful in your research, please cite it and give us a GitHub star!
Please read the citation instructions at `https:// `_.


Contact
-------
Tránsyto is an open source community project created by `the authors `_.
The best way to contact us is to `open an issue `_ or to e-mail  jaime-andres.alvarado-montes@hdr.mq.edu.au.

Owner

  • Name: Jaime A.
  • Login: JAAlvarado-Montes
  • Kind: user
  • Location: Macquarie University

Astronomer, Research Assistant, Ph.D. Candidate

Citation (CITATION) 

If you use transito in your work or research, please include a citation using the instructions provided at:

    https://

Thank you!

GitHub Events

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

Dependencies

.github/workflows/docker.yml actions
  • actions/checkout master composite
  • elgohr/Publish-Docker-Github-Action master composite
.github/workflows/transyto-build-test.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
docker/Dockerfile docker
  • ubuntu 18.04 build
poetry.lock pypi
  • 111 dependencies
pyproject.toml pypi
  • argparse ^1.4.0
  • astroplan ^0.8
  • astropy ^5.1.1
  • astroquery ^0.4.6
  • barycorrpy ^0.4.4
  • beautifulsoup4 ^4.11.1
  • bokeh ^3.0.2
  • ccdproc ^2.4.0
  • celerite ^0.4.2
  • importlib-metadata ^4.8
  • ipython ^8.6.0
  • matplotlib ^3.6.2
  • mechanicalsoup ^1.2.0
  • natsort ^8.2.0
  • numpy ^1.23.5
  • pandas >=2.1
  • photutils ^1.5.0
  • pybind11 ^2.10.1
  • pyfiglet ^0.8.post1
  • python ^3.8
  • scipy ^1.9.3
  • seaborn ^0.12.1
  • tqdm ^4.64.1
  • transitleastsquares ^1.0.31
  • uncertainties ^3.1.7
  • wotan ^1.10
  • codacy-coverage ^1.3.11 test
  • codecov ^2.1.12 test
  • pycodestyle ^2.9.1 test
  • pytest ^6.0.0 test
  • pytest-cov ^4.0.0 test
  • pytest-doctestplus ^0.12.1 test
  • pytest-remotedata ^0.3.3 test