Skip to main content
Warning: You are using the test version of PyPI. This is a pre-production deployment of Warehouse. Changes made here affect the production instance of TestPyPI (
Help us improve Python packaging - Donate today!

Tigramite causal discovery for time series

Project Description

# TIGRAMITE – Causal discovery for time series datasets Version 3.0 described in

(Python Package)



## General Notes

TIGRAMITE is a time series analysis python module. With flexibly adaptable scripts it allows to reconstruct graphical models (conditional independence graphs) from discrete or continuously-valued time series based on a causal discovery algorithm and create high-quality plots of the results.

## Features

  • different conditional independence test statistics adapted to continuously-valued or discrete data, and different assumptions about linear or nonlinear dependencies
  • hyperparameter optimization
  • easy parallelization
  • handling of masked time series data
  • false discovery control and confidence interval estimation

## Required python packages

  • numpy, tested with Version 1.10
  • scipy, tested with Version 0.17
  • sklearn, tested with Version 0.18 (optional, necessary for GPACE test)
  • ace python package ( OR rpy2 and R-package ‘acepack’ (optional, necessary for GPACE test)
  • matplotlib, tested with Version 1.5
  • networkx, tested with Version 1.10
  • basemap (only if plotting on a map is needed)
  • mpi4py (optional, necessary for using the parallelized implementation)
  • cython (optional, necessary for CMIknn test)
  • statsmodels, tested with Version 0.6 (optional, necessary for p-value corrections)

## User Agreement

By downloading TIGRAMITE you agree with the following points: The toolbox is provided without any warranty or conditions of any kind. We assume no responsibility for errors or omissions in the results and interpretations following from application the toolbox.

You commit to cite TIGRAMITE in your reports or publications if used.

## License

Copyright (C) 2012-2017 Jakob Runge

mpi4py wrapper module “” Copyright (C) 2012 Jobst Heitzig

See license.txt for full text.

TIGRAMITE is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version. TIGRAMITE is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

Release History

Release History

This version
History Node


Download Files

Download Files

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

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
tigramite-3.0.tar.gz (145.6 kB) Copy SHA256 Checksum SHA256 Source May 16, 2017

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting