Skip to main content

Change point detection for signals, in Python

Project description

ruptures is a Python library for offline change point detection. This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models. ruptures focuses on ease of use by providing a well-documented and consistent interface. In addition, thanks to its modular structure, different algorithms and models can be connected and extended within this package.

An extensive documentation is available github.com/deepcharles/ruptures.

This version requires Python 3 or later.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ruptures-1.1.0rc1.tar.gz (229.7 kB view details)

Uploaded Source

File details

Details for the file ruptures-1.1.0rc1.tar.gz.

File metadata

  • Download URL: ruptures-1.1.0rc1.tar.gz
  • Upload date:
  • Size: 229.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.53.0 CPython/3.8.6

File hashes

Hashes for ruptures-1.1.0rc1.tar.gz
Algorithm Hash digest
SHA256 0c60e43d22d606db5ee81459b3ed49a27feaf8a2500e7d4c757beb6aa4468f39
MD5 e07633984ee4de5f471fb70c3ea0650d
BLAKE2b-256 6261e22091569393aa2e8c6fa33c2d94e40f990b2739e919143c526b18f0abeb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page