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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

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A friendly package for Kepler & TESS time series analysis in Python.

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Lightkurve
==========

**A friendly package for Kepler & TESS time series analysis in Python.**

**Documentation: https://lightkurve.github.io/lightkurve/**

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.. |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.