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PyTables

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 features an object-oriented interface that, combined with C extensions for the performance-critical parts of the code (generated using Cython), makes it a fast, yet extremely easy to use tool for interactively browsing, processing and searching 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.

https://www.pytables.org

Available modules

The overview below shows which PyTables installations are available per target architecture in EESSI, ordered based on software version (new to old).

To start using PyTables, load one of these modules using a module load command like:

module load PyTables/3.9.2-foss-2023b

(This data was automatically generated on Fri, 06 Feb 2026 at 13:12:13 UTC)

aarch64/generic aarch64/a64fx aarch64/neoverse_n1 aarch64/neoverse_v1 aarch64/nvidia/grace x86_64/generic x86_64/amd/zen2 x86_64/amd/zen3 x86_64/amd/zen4 x86_64/intel/cascadelake x86_64/intel/haswell x86_64/intel/icelake x86_64/intel/sapphirerapids x86_64/intel/skylake_avx512
PyTables/3.9.2-foss-2023b x x x x x x x x x x x x x x

PyTables/3.9.2-foss-2023b

This is a list of extensions included in the module:

blosc2-2.5.1, ndindex-1.8, tables-3.9.2