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PyTables is built on top of the HDF5 library and the numarray Python package.
It holds an OO interface that, combined with C-generated code from Cython increases overall speed.
Here are some key features of "PyTables":
 
 · Easy to use
 · Support for the NaturalNaming scheme
 · Easy access to the data
 · Saves memory
 · Structure data in a natural way
 · Speedy I/O operations
 
What's New in This Release: [ read full changelog ]
 
 · Added support for the float16 data type. It is only available if numpy provides it as well (i.e. numpy >= 1.6).
 · Leaf nodes now have attributes for retrieving the size of data in memory and on disk. Data on disk can be compressed, so the new attributes make it easy to compute the data compression ration.
 

Via: PyTables 2.4.0 / 3.0.0rc3







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