Opening the eyes of research astronomy software to the whole world.

OpenAstronomy is a collaboration between open source astronomy and astrophysics projects that are used by researchers and engineers around the world to study our universe either by analysing the data obtained from amazing instruments like the Hubble Space Telescope, the Square Kilometer Array or the Solar Dynamic Observatory, developing very sophisticated numerical models (eg. FLASH) or designing interplanetary trajectories for human-made spacecraft. The analysis of such data helps multiple types of research from being able to forecast solar storms to detect planets in other stars, from understanding how galaxies are formed to explain the expansion and the origin of the universe.

OpenAstronomy is currently formed by 16 organisations that develop tools for different aspects of astronomy. The range of topics covered by these projects is wide, for example:

  • Astropy is a general Python library for astronomy, providing common tools such as celestial coordinates, image processing, tabular data reading and writing, units and support for astronomy-specific file formats;
  • SunPy provides utilities for obtaining and representing solar physics data, with clients for some of the largest online solar physics data archives and solar specific analysis and visualisation code;
  • Glue is a data visualization application and library to explore relationships within and among related datasets.
  • Julia Astro is a set of packages for general astronomy and astrophysics analysis using Julia;
  • And more!

As a single organisation, we aim to strengthen collaborations between the different sub-organisations, and at the same time increase the awareness among our users on the capabilities of our "sister" projects.

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  • python
  • julia
  • spark
  • numba
  • javascript


  • Science and Medicine
  • astronomy
  • solar physics
  • orbital mechanics
  • high energy astrophysics
  • cloud infrastructure
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OpenAstronomy 2020 Projects

  • Amogh Desai
    A lightning-fast stingray: Parallelizing stingray operations to analyze larger-than-memory datasets
    stingray is a python framework that assists astronomers in spectral-timing(time-series) analysis of X-ray observations from Black Holes, Pulsars etc....
  • Pankaj Mishra
    Accelerate Synthetic Spectra Calculations using CUDA
    The presence and concentration of molecules in a gas can be measured by comparing absorption and emission experimental spectra to synthetic spectra....
  • Siddharth Lal
    CCD Reduction Package
    Over the years Julia has become a successful language for science and numerical computing. However, there are no current packages for performing CCD...
  • Meuge
    Designing a Specialized Orbit ‚Äčand Implementing Geometries for Surveillance and Reconnaissance Capabilities
    The main objective of the proposal is to add the features to develop a Specialized Orbit and to incorporate a library of Surveillance and Recognition...
  • Jyotirmaya Shivottam
    EinsteinPy: Null geodesics for Schwarzschild and Kerr Geometries
    Null geodesics refer to the path, that massless particles, such as photons, follow in 4-dimensional spacetime. Accurate numerical computation of...
  • SahilYadav
    Enable ROOT input
    Most of the data from IACTs currently in operation comes in ROOT format. Enabling ROOT input in CTLearn will open its doors to existing IACT...
  • Kris Stern
    The objective of this project is to provide a foundation for interactively exploring and quickly analyzing large datasets (100Gb or larger) in solar...
  • Abhijeet Manhas
    Metadata searches using Fido
    Federated internet data obtainer (Fido) is a very powerful query and fetch interface when it comes to its flexibility and versatility with different...
  • Raahul Singh
    Solar Weather Forecasting using Linear Algebra
    The goal of this project is to develop a model for forecasting the likelihood that an Active Region on the sun would produce a solar flare in the...
  • Biswarup Banerjee
    Spark Cluster Management Dashboard
    Apache Spark which is used by people at Astronomy Commons enables large scale distributed computing via creating local and remote clusters. But the...