Derrick Chambers, Ge Jin, Ahmad Tourei , Abdul Hafiz Saeed Issah, Ariel Lellouch , Eileen Martin, Donglin Zhu, Aaron Girard, Shihao Yuan, Thomas Cullison, Tomas Snyder, Seunghoo Kim, Nicholas Danes, Nikhil Punithan, Shawn Boltz, Manuel M. Mendoza

In the past decade, distributed acoustic sensing (DAS) has enabled many new monitoring applications in diverse fields including hydrocarbon exploration and extraction; induced, local, regional, and global seismology; infrastructure and urban monitoring; and several others. However, to date, the open-source software ecosystem for handling DAS data is relatively immature. Here we introduce DASCore, a Python library for analyzing, visualizing, and managing DAS data. DASCore implements an object-oriented interface for performing common data processing and transformations, reading and writing various DAS file types, creating simple visualizations, and managing file system-based DAS archives. DASCore also integrates with other Python-based tools which enable the processing of massive data sets in cloud environments. DASCore is the foundational package for the broader DAS data analysis ecosystem (DASDAE), and as such its main goal is to facilitate the development of other DAS libraries and applications.