A beautiful package for astronomical flux time series analysis in Python.

The lightkurve Python package 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, K2, and TESS missions.

This package aims to lower the barrier for both 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.

Read the documentation at http://lightkurve.keplerscience.org.

If you have a working version of Python 2 or 3 on your system, you can simply install this package using `pip`: :

pip install lightkurve

Once installed, visit our quickstart guide at http://lightkurve.keplerscience.org/tutorials/quickstart.html.

We welcome community contributions from everyone! Please read the contribution guidelines at http://lightkurve.keplerscience.org/contributing.html.

If you find this package useful in your research, please cite it and give us a GitHub star! Please read the citation instructions at http://lightkurve.keplerscience.org/citing.html.

Lightkurve is an open source community project supported by NASA's Kepler/K2 Guest Observer Office. You can contact the core development team via keplergo@mail.arc.nasa.gov.