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.

homepage: https://www.pytables.org

Available installations¶

PyTables version	Supported CPU targets	Supported GPU targets	EESSI version	Module
3.9.2	`generic`: `aarch64`, `x86_64` Arm: `a64fx`, `neoverse_n1`, `neoverse_v1`, `nvidia/grace` AMD: `zen2`, `zen3`, `zen4` Intel: `haswell`, `skylake_avx512`, `sapphirerapids`, `icelake`, `cascadelake`	(none)	2023.06	`PyTables/3.9.2-foss-2023b`

Extensions¶

Overview of extensions included in PyTables installations

blosc2¶

`blosc2` version	PyTables modules that include it
2.5.1	`PyTables/3.9.2-foss-2023b`

ndindex¶

`ndindex` version	PyTables modules that include it
1.8	`PyTables/3.9.2-foss-2023b`

tables¶

`tables` version	PyTables modules that include it
3.9.2	`PyTables/3.9.2-foss-2023b`