framelint is an open-source Python tool for profiling tabular data, detecting schema drift, and enforcing data quality in CI pipelines. It integrates with pandas and is designed for data engineers who need lightweight, automated validation of dataframes.
In the LLM eval & observability space, framelint takes a focused approach. It focuses on ensuring data quality and schema consistency in tabular datasets during development and CI workflows. framelint is an open-source project aimed at python data engineers and developers. The project is open source (MIT). framelint is available on the command line, and it can be self-hosted.
Anoop Ibrampur builds and maintains framelint, and the product first shipped in 2026. The project is developed in the open on GitHub with 8 commits in the last 90 days. Across PulseGate's embedding index, framelint has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are data profiling, schema drift detection, and CI integration.
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