![xarray](https://pydata.org/wp-content/uploads/2018/09/xarray-logo-square.png)
![xarray](https://pydata.org/wp-content/uploads/2018/09/xarray-logo-square.png)
![rOpenSci](https://pydata.org/wp-content/uploads/2016/07/ropensci-logo-300.png)
rOpenSci
rOpenSci creates technical infrastructure in the form of carefully vetted, staff- and community-contributed R software tools that lower barriers to working with scientific data sources on the web. rOpenSci also creates social infrastructure through a welcoming and diverse community, and promotes advocacy for a culture of data sharing and reusable software.
![SunPy](https://pydata.org/wp-content/uploads/2016/07/sunpy-logo-300.png)
SunPy
SunPy is a Python-based software library that provides tools for performing research using direct observations of the Sun and Heliosphere.
![Astropy](https://pydata.org/wp-content/uploads/2016/07/astropy-logo-300.png)
Astropy
The Astropy Project provides software tools and infrastructure to facilitate research by professional astronomers. In addition to maintaining a core Python package, the Astropy Project supports the development of high-grade affiliated packages by members of the astronomical community.
![yt](https://pydata.org/wp-content/uploads/2016/07/yt-logo-300.png)
yt
yt is a tool for querying, analyzing and visualizing objects or regions of interest to identify emergent properties in data available in a variety of real-world research data formats. Initially developed for use by professional astronomers, yt can be applied in a variety of domains including astrophysics, seismology, nuclear engineering, molecular dynamics, and oceanography.