
Welcome to pyspi
pyspi (`pie-spy`) is a comprehensive python library for computing hundreds of statistics of pairwise interactions (SPIs) directly from multivariate time series (MTS) data.
pyspi features
Easy access to over 250 statistics for quantifying the relationship between a pair of time series.
Open source, easy-to-use framework.
Comprehensive across statistics for pairwise interactions, including information theoretic, causal inference, distance similarity, and spectral measures.
Compute hundreds of SPIs on your multivariate time-series data in just a few lines of code.
Getting Started

Installation
Install pyspi on your system.

Start Here
Get started using pyspi quickly.

Examples
pyspi usage examples and tutorials.
SPI Descriptions
Want to know what each SPI in pyspi computes? Access a high level summary of SPIs with the summary table or delve into the specifics with detailed descriptions fo each.

Summary Table
A table of SPIs included in pyspi.

SPI Descriptions
Detailed descriptions of SPIs included in pyspi.
Publications using pyspi
An ever-growing list of publications that use pyspi.
Additional Pages

Advanced Usage
Advanced functionality in pyspi.

FAQ
Frequently asked
questions.

Development
Developers guide and contributions.

API
A technical manual for pyspi functions and classes.

Troubleshooting
Troubleshooting guide for pyspi installation.
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