Factual package intelligence from PyPI
Analyse the performances of sequential private identifiers: a LorWan privacy orentied communication protocol. Efficient numerical method to compute the mass function and the CDF of streaks of repeating events. Expectation of packet loss computed using Markov chains for improved p
pip install spistats
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
spistats publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .