We have developed an API for the Astrophysics Source Code Library (ASCL) that enhances the ability of users to conduct complex and automated queries on ASCL indexed codes. The API is public and allows anyone to programmatically search and filter the ASCL software database via an HTTP request. For example, the search https://ascl.net/api/search/?q=%22supernova%22&fl=credit returns a list of authors with ASCL-indexed codes involving supernovae in JSON format. We will demonstrate the API and show its use in answering a researcher’s questions regarding the growth and usage of both interpreted and compiled languages in the database, gaining a more nuanced understanding of trends in astrophysics software development. Our findings confirmed a piece of conventional wisdom: that Python is growing in market share, while low level programming languages like C and C++ remain very popular. Further documentation for the API is available at https://github.com/teuben/ascl-tools/tree/master/API.
Siddha Mavuram (UMD), Alice Allen (ASCL/UMD), Robert J. Nemiroff (MTU), Judy Schmidt (ASCL), Peter J. Teuben (UMD)