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PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. PyTables is built on top of the HDF5 library, using the Python language and the NumPy package (it also supports numarray and Numeric right out-of-the-box). It ... [More] features an object-oriented interface that, combined with C extensions for the peformance-critical parts of the code (generated using Pyrex), makes it a fast, yet extremely easy to use tool for interactively saving and retrieving very large amounts of data. One important feature of PyTables is that it optimizes memory and disk resources so that data takes much less space (specially if on-flight compression is used) than other solutions such as relational or object oriented databases. [Less]

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  0 reviews  |  10 users  |  201,141 lines of code  |  16 current contributors  |  Analyzed about 2 hours ago
 
 

Remember complex information without giving yourself a headache. In cases where you just need a quick way of storing facts according to complex ques, this module provides some helpful shortcuts. I designed it to be used for storing the miscellaneous information on my custom IRC bots.

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  0 reviews  |  1 user  |  2,132 lines of code  |  0 current contributors  |  Analyzed over 1 year ago
 
 

e4Graph is a C++ library and a Tcl binding providing persistent, reliable, cross-platform storage for graph like structures. Please visit http://e4graph.sourceforge.net for more info.

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  0 reviews  |  0 users  |  87,243 lines of code  |  0 current contributors  |  Analyzed 2 days ago
 
 
 
 

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