Monitor the stability of a Pandas or Spark dataframe ⚙︎
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Updated
Jan 9, 2026 - Python
Monitor the stability of a Pandas or Spark dataframe ⚙︎
A toolkit for statistical process control using SQL
💘👽😎在线统计过程控制系统(online SPC system),毕业设计课题是《基于SPC的产品质量在线分析系统》,非常非常非常认真并且花了非常非常非常多的时间才完成的,虽然代码写的很难看,但功能也算是齐备了,希望对学弟学妹们有参考价值。
Easier CUSUM control charts. Returns simple CUSUM statistics, CUSUMs with control limit calculations, and function to generate faceted CUSUM Control Charts
Creates multiple SPC / process behaviour charts, automatically detecting signals of process change and revising centre lines and control limits. WIP. See {runcharter} for automated run charts
A Python package implementing several statistical process control methods
Python toolkit for analysis of industrial process data; multivariate analysis, designed experiments, process monitoring.
AI-powered Statistical Process Control, MSA, and Process Capability analysis. Upload data, ask in plain English, get charts and reports.
Source repository for the open-access, free book Process Improvement using Data.
This repository is a supplementary source of Quality Management.
Provides a rigorous approach to re-establishing control limits in statistical process control charts
Social Networks Monitoring
A Python package for performing calculations and generating figures that facilitate an understanding of process variation.
Statistical Process Monitoring in Julia
Statistical Process Control for 3D-Printed Parts: Quality monitoring using image analysis, PCA, and SPC charts for defect detection in 3D-printed components.
Dataset shift with outlier scores
Detect upcoming depressive and manic episodes in patients with bipolar disorder
Rust library for industrial quality engineering — SPC control charts, process capability indices, Weibull reliability, change detection, and hypothesis testing.
A Grafana panel plugin for visualizing 3D CAD models, point clouds, and metrology data within Grafana dashboards.
Browser-based Statistical Process Control (SPC) tool with 7 chart types, process capability analysis, and distribution visualization. Vanilla HTML/CSS/JS.
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