Spc Python Packages

pyspc

Statistical Process Control Charts Library for Humans

spc-io

A parser for the SPC file format

ci-monitoring-simulation

Calibrated simulation and detectors for MES-embedded carbon-intensity monitoring of energy anomalies in machining-style processes. Characterizes the adaptive-baseline inertia blind spot and proposes an event-anchored + residual-CUSUM detector that closes it. Reproducible: code, raw sweep data, and figure scripts.

shewhart

The statistical process control library for Python: control charts, capability analysis, and measurement systems analysis, validated against published reference values.

shearline

Analyst-grade US severe-weather tools for AI agents over MCP: NWS warnings with IBW tags, SPC outlooks, RAP point environments, MRMS hail/rotation, storm reports, and a composite threat brief.

process-improvement

A Python package for performing calculations and generating figures that facilitate an understanding of process variation.