The Open-Source DAS Python Ecosystem

As in many scientific fields, seismologists have a long history of developing and distributing domain-specific software. Some of the earliest packages were written in C and Fortran and were primarily used via the command line or through shell scripting. The emergence of a new generation of programming languages, such as Python, R, MATLAB, and Julia, has led to a growing ecosystem of seismological software, lowering the barrier to conducting research and improving interoperability with the broader scientific community. Python, in particular, has become especially popular among seismologists, and several foundational DAS packages have emerged, each with distinct strengths and feature sets. However, compatibility between these packages is not guaranteed. In this talk, I compare the design and capabilities of the existing libraries and provide guidance for researchers and package developers to help reduce ecosystem fragmentation. I also highlight key gaps and opportunities for future contributions within the nascent open-source DAS ecosystem. Finally, I explore the implications of emerging, highly capable coding agents and how they may reshape seismic research and software development. To demonstrate, I present several new experimental projects that illustrate both the dramatic increase in development velocity and the enhanced capabilities enabled by this new generation of tools.