The conda package distribution for Lightkurve - your gateway to analyzing stellar light curves from NASA's Kepler and TESS missions with beautiful Python tools for exoplanet discovery.

Every twinkle of a distant star might hide an orbiting world, and NASA’s Kepler and TESS missions have captured billions of these precious photons as time-series data. But raw astronomical flux measurements are just numbers until you have the right tools to reveal their secrets - periodic dips that signal transiting exoplanets, stellar oscillations, or unexpected cosmic phenomena.

This conda-forge feedstock ensures seamless installation of Lightkurve, the community’s go-to Python package for astronomical time series analysis. Built specifically for Kepler and TESS data, Lightkurve transforms complex pixel files and light curves into intuitive Python objects, offering elegant methods for data downloading, cleaning, detrending, and period analysis. The package handles everything from Target Pixel Files (TPFs) to Pre-search Data Conditioning Simple Aperture Photometry (PDCSAP), making sophisticated astronomical analysis accessible with just a few lines of code.

Whether you’re a graduate student hunting for your first exoplanet detection, a professional astronomer studying stellar variability, or a data scientist exploring the intersection of machine learning and astrophysics, this conda package delivers reliable, cross-platform access to one of astronomy’s most essential Python tools. The community-driven development ensures it stays current with mission updates and emerging analysis techniques.

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🔗 Repository: conda-forge/lightkurve-feedstock