Project Summary
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 features an object-oriented interface that, combined with C extensions for the performance-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.
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In a Nutshell, PyTables...
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has a well established, mature codebase
maintained by a large development team
with decreasing Y-O-Y commits -
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took an estimated 19 years of effort (COCOMO model)
starting with its first commit in October, 2002
ending with its most recent commit 17 days ago
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BSD 3-clause "New" or "Revised" License
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These details are provided for information only. No information here is legal advice and should not be used as such.
Project Security
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Did You Know...
30 Day SummaryOct 19 2025 — Nov 18 2025
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12 Month SummaryNov 18 2024 — Nov 18 2025
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