Factual package intelligence from PyPI
This library provides a simple Python interface for implementing erasure codes. To obtain the best possible performance, the underlying erasure code algorithms are written in C.
pip install pyeclib
PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
pyeclib publishes 8 wheels and 1 source archive for version 1.8.0. Wheel platform tags: manylinux2014_aarch64.manylinux_2_17_aarch64, manylinux2014_x86_64.manylinux_2_17_x86_64, musllinux_1_2_aarch64, musllinux_1_2_x86_64.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.
PyPI lists 42 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .