FATS: Feature Analysis for Time Series

TL;DR

FATS is a Python library designed to standardize and facilitate feature extraction from time series data, with a focus on astronomical light curves but applicable to other domains.

Contribution

The paper introduces FATS, a generalizable Python library for time series feature extraction, specifically tailored for astronomical light curves but adaptable to various fields.

Findings

Provides a standardized tool for time series feature extraction.

Demonstrates application on astronomical light curves.

Offers examples of usage and implementation details.

Abstract

In this paper, we present the FATS (Feature Analysis for Time Series) library. FATS is a Python library which facilitates and standardizes feature extraction for time series data. In particular, we focus on one application: feature extraction for astronomical light curve data, although the library is generalizable for other uses. We detail the methods and features implemented for light curve analysis, and present examples for its usage.