https://github.com/lightkurve/lightkurve
A friendly package for Kepler & TESS time series analysis in Python.
https://github.com/lightkurve/lightkurve
astronomy astrophysics k2 kepler nasa python tess time-series timeseries
Last synced: about 1 month ago
JSON representation
A friendly package for Kepler & TESS time series analysis in Python.
- Host: GitHub
- URL: https://github.com/lightkurve/lightkurve
- Owner: lightkurve
- License: mit
- Created: 2018-01-22T00:49:59.000Z (about 8 years ago)
- Default Branch: main
- Last Pushed: 2026-02-12T20:01:45.000Z (about 1 month ago)
- Last Synced: 2026-02-15T04:18:02.662Z (about 1 month ago)
- Topics: astronomy, astrophysics, k2, kepler, nasa, python, tess, time-series, timeseries
- Language: Python
- Homepage: https://lightkurve.github.io/lightkurve/
- Size: 504 MB
- Stars: 493
- Watchers: 17
- Forks: 181
- Open Issues: 185
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGES.rst
- Contributing: CONTRIBUTING.rst
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION
- Authors: AUTHORS.rst
Awesome Lists containing this project
README
Lightkurve
==========
**A friendly package for Kepler & TESS time series analysis in Python.**
**Documentation: https://lightkurve.github.io/lightkurve/**
|test-badge| |conda-badge| |pypi-badge| |pypi-downloads| |doi-badge| |astropy-badge|
.. |conda-badge| image:: https://img.shields.io/conda/vn/conda-forge/lightkurve.svg
:target: https://anaconda.org/conda-forge/lightkurve
.. |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
:target: https://pepy.tech/project/lightkurve
.. |test-badge| image:: https://github.com/lightkurve/lightkurve/workflows/Lightkurve-tests/badge.svg
:target: https://github.com/lightkurve/lightkurve/actions?query=branch%3Amain
.. |astropy-badge| image:: https://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat
:target: http://www.astropy.org
.. |doi-badge| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1181928.svg
:target: https://lightkurve.github.io/lightkurve/about/citing.html
**Lightkurve** is a community-developed, open-source Python package which offers a beautiful and user-friendly way
to analyze astronomical flux time series data,
in particular the pixels and lightcurves obtained by
**NASA's Kepler and TESS exoplanet missions**.
.. image:: https://raw.githubusercontent.com/lightkurve/lightkurve/main/docs/source/_static/images/lightkurve-teaser.gif
This package aims to lower 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://lightkurve.github.io/lightkurve/ `_.
Quickstart and Installation
---------------------------
Please visit our quickstart guide at `https://lightkurve.github.io/lightkurve/quickstart.html `_.
The easiest way to install *Lightkurve* and all of its dependencies is to use the ``pip`` command,
which is a standard part of all Python distributions.
To install *Lightkurve*, run the following command in a terminal window::
$ python -m pip install lightkurve --upgrade
The ``--upgrade`` flag is optional, but recommended if you already
have *Lightkurve* installed and want to upgrade to the latest version.
Depending on the specific Python environment, you may need to replace ``python``
with the correct Python interpreter, e.g., ``python3``.
If you want to experiment with the latest development version of
*Lightkurve*, you can install it straight from the main branch on GitHub:
.. code-block:: bash
$ git clone https://github.com/lightkurve/lightkurve.git
$ cd lightkurve
$ python -m pip install .
If you want to have a so-called editable install which enables the installed
version to immediately reflect changes made in the source tree, you can use:
.. code-block:: bash
$ python -m pip install poetry
$ poetry install
Please see our guide on `https://lightkurve.github.io/lightkurve/development/index.html `_
for additional instructions.
Contributing
------------
We welcome community contributions!
Please read the guidelines at `https://lightkurve.github.io/lightkurve/development/contributing.html `_.
Citing
------
If you find Lightkurve useful in your research, please cite it and give us a GitHub star!
Please read the citation instructions at `https://lightkurve.github.io/lightkurve/about/citing.html `_.
Contact
-------
Lightkurve 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 tesshelp@bigbang.gsfc.nasa.gov.
Please include a self-contained example that fully demonstrates your problem or question.