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.
The Shogun Machine Learning Toolbox is devoted to making machine learning tools available for free, to everyone. It provides efficient implementation of all standard ML algorithms.
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.