TAPE (Timeseries Analysis & Processing Engine)

A Python package for scalable computing of timeseries data.

TAPE offers a complete ecosystem for loading, filtering, and analyzing timeseries data. TAPE is built to enable users to run provided and user-defined analysis functions at scale in a parallelized and/or distributed manner.

Over the survey lifetime of the LSST, billions of objects will have multiband lightcurves available, and TAPE has been built as a framework with the goal of making analysis of LSST-scale data accessible.

TAPE is built on top of Dask, and leverages its “lazy evaluation” to only load data and run computations when needed.

How to Use This Guide

Begin with the Getting Started guide to learn the basics of installation and walkthrough a simple example of using TAPE.

The Tutorials section showcases the fundamental features of TAPE.

API-level information about TAPE is viewable in the API Reference section.

Learn more about contributing to this repository in our Contribution Guide.