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 is a Python-based software library that provides tools for performing research using direct observations of the Sun and Heliosphere.
PyTables is an efficient method for storing and querying both numerical and textual data. PyTables provides seamless access to the convenient HDF5 library, a popular container for datasets that can grow to terabytes and beyond.
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.