sparkguardian is an open-source framework for auditing, optimizing, and governing PySpark codebases. It provides static and dynamic analysis, leveraging local AI assistance to detect anti-patterns and improve performance for data engineers.
sparkguardian sits in PulseGate's Debugging & profiling category. Auditing, optimizing, and governing PySpark codebases with automated static and dynamic analysis, including local AI assistance. sparkguardian is an open-source project aimed at data engineers. The project is open source (MIT). The product ships for the command line.
It is developed by sparkguardian, and the product first shipped in 2026. Across PulseGate's embedding index, sparkguardian has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are pySpark auditing, static analysis, and dynamic analysis.
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