![Blosc](https://pydata.org/wp-content/uploads/2019/02/blosc-logo-300x300.png)
![Blosc](https://pydata.org/wp-content/uploads/2019/02/blosc-logo-300x300.png)
![xarray](https://pydata.org/wp-content/uploads/2018/09/xarray-logo-square.png)
xarray
[et_pb_fullwidth_header_extended admin_label=”Fullwidth Project Header” _builder_version=”3.15″ title=”xarray” subhead=”NumFOCUS Sponsored Project since 2018″ textillate_effect_loop=”false”...![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.
![Shogun](https://pydata.org/wp-content/uploads/2016/07/shogun-logo-300.png)
Shogun
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](https://pydata.org/wp-content/uploads/2016/07/pytables-logo-300.png)
PyTables
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.