# python-control/python-control

The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.

Repository: https://github.com/python-control/python-control
Canonical: https://ross.abutalabs.com/products/python-control
Homepage: http://python-control.org
Language: Python
License: BSD-3-Clause
License Family: permissive
Last push: 2026-08-14T06:31:56+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 8, longevity 100
- inputs: {"age_days": 4407, "days_push": 19, "days_rel": 424, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2072, forks 462 (observed 2026-08-28T04:06:10.511579+00:00)

## What it is
A Python library implementing basic operations for analysis and design of feedback control systems. It provides linear I/O system modeling, time and frequency response analysis, and control design tools like LQR, Kalman filters, and H-infinity synthesis.

## Use cases
- analyze stability of a linear control system
- plot bode and nyquist diagrams for a transfer function
- design an LQR controller in Python
- simulate step and impulse responses of a state-space model
- design a Kalman filter for state estimation
- compute root locus for a feedback system
- model block diagram interconnections of systems

## When to choose
- you need classical or modern control system analysis and design in Python
- you want an open-source alternative to MATLAB Control System Toolbox
- you are teaching or learning control theory with runnable examples

## When to avoid
- you need real-time control implementation on embedded hardware
- you need nonlinear simulation of complex multi-body dynamics (consider dedicated simulators)
- you need a GUI-driven CAD environment for control design

## Facets
- artifact type: library
- maturity: stable
- function: simulation, data-visualization, math
- domain: data-science, simulation
- platform: python, cross-platform
- tags: control-systems, feedback-control, bode-plot, nyquist, kalman-filter, lqr, state-space, root-locus, algorithms, engineering

## Member repositories
- python-control/python-control (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:10.511579+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:56:41.604227+00:00, confidence not recorded.
  - readme: https://github.com/python-control/python-control (fetched 2026-08-28T04:06:10.511579+00:00, sha bd62009f0c15)
- Data as of 2026-08-30T08:39:29.467469+00:00.