A friendly package for Kepler & TESS time series analysis in Python.
Project description
A friendly package for Kepler & TESS time series analysis in Python.
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.
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 http://docs.lightkurve.org.
Quickstart
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://docs.lightkurve.org/quickstart.html.
Contributing
We welcome community contributions from everyone! Please read the contribution guidelines at http://docs.lightkurve.org/about/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 http://docs.lightkurve.org/about/citing.html.
Contact
Lightkurve is an open source community project created by the authors and supported by the Kepler/K2 Guest Observer Office. You can contact us via keplergo@mail.arc.nasa.gov.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file lightkurve-1.0b28.tar.gz.
File metadata
- Download URL: lightkurve-1.0b28.tar.gz
- Upload date:
- Size: 450.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4bf641458fd1eb94e364bdc8521a54ffd37808ec799aa91d20aeb9e691755107 |
|
| MD5 | aae5d043cdd962cbf42db9a5b765875d |
|
| BLAKE2b-256 | 88a8aa535da1b54c1181b0feec3d2ac1ec4aac4131140b32e7a2a2998469a80a |
