Abstract
High-performance computing (HPC) resources are commonly accessed through batch scheduling systems such as LSF, Torque/PBS, SGE, SLURM, Moab and Flux. These schedulers provide powerful command-line interfaces for job submission and resource management, but integrating scheduler interactions into Python applications often requires scheduler-specific scripts, shell wrappers, and custom parsing of scheduler outputs. As a result, scientific software frequently contains infrastructure code that is difficult to maintain and port across HPC environments. pysqa (Python Simple Queue Adapter) is an open-source Python library that provides a lightweight, scheduler-independent interface for submitting, monitoring, and managing HPC jobs.