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Here we’re explaining top 10 NASA OpenSource Projects in which you can also contribute.It’s an archive of cool projects done by NASA.

Astronomy Picture of the Day (APOD) microservice

Astronomy Picture of the Day API service. A microservice has written in Python which may be run on Google App Engine with the Flask microframework.

Viewpoints: Software for Visualization of Multivariate Data

Viewpoints (VP) is a visualization tool for exploring large, multidimensional data. It enables rapid interactive analysis of data sets containing >> 106 samples, limited only by available RAM, with an arbitrary number of attributes (or dimensions) per sample. Viewpoints were originally created for analyzing data sets from current and upcoming NASA space science missions but it has now been used in areas ranging from aeronautical engineering, quantum chemistry, and computational fluid dynamics to virology, finance, aviation safety, and web server log mining.

MISR Toolkit

The MISR Toolkit is a simplified programming interface to access MISR L1B2, L2 conventional and ancillary data products. It is an interface built upon HDF-EOS that knows about MISR data products.


A python package built on unittest for running verification tests on Abaqus user subroutines.


Fast and easy-to-use tools for exoplanet transit light curve modeling with Python. PyTransit implements the quadratic Mandel & Agol and the Gimenéz transit models with various optimisations and offers both a simple interface for model evaluation and a lower-level access for fine-tuning the model.


This python package contains routines to create and/or fit a transiting planet model. The underlying model is a Fortran implementation of the Mandel & Agol (2002) limb darkened transit model. The code will calculate a full orbital model and eccentricity can be allowed to vary.


kplr provides a lightweight Pythonic interface to the catalogs and data. Below, I’ll describe the features provided by kplr but to get things started, let’s see an example of how you would go about finding the published parameters of a KOI and download the light curve data.


The search for transiting exoplanets in K2 data.


EPIC Variability Extraction and Removal for Exoplanet Science Targets: A pipeline for de-trending K2 light curves with pixel level decorrelation and Gaussian processes. Here you’ll find the Python code used to generate the EVEREST catalog, as well as tools for accessing and interacting with the de-trended light curves.


This is a prototype data processor/publisher for NASA.

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