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.
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.
Julia is a fast and user-friendly programming language for high-performance scientific computing.
IPython is an enhanced interactive Python environment aimed at maximizing productivity in workflows that combine data, computation and exploratory programming. It gave rise to the larger, cross-language Project Jupyter, and it continues to provide the default Python environment for the Jupyter platform.
Project Jupyter develops tools for interactive computing, research and education with an emphasis in data science workflows. Its flagship application is the widely used Jupyter Notebook, a web application that allows users to craft live narratives combining text, code and multimedia output.