datakit-profiling is an open-source CLI tool that generates detailed profile reports for pandas DataFrames. It helps data scientists and analysts quickly assess data quality and structure, supporting integration with Jupyter and Python workflows.
datakit-profiling sits in PulseGate's Other dev tools category. It focuses on automating the generation of comprehensive profile reports for pandas DataFrames to aid data analysis and quality assessment. datakit-profiling is an open-source project aimed at data scientists and analysts. The project is open source (MIT). It runs on the web and the command line.
It is developed by Data-Centric-AI-Community, and the product first shipped in 2016. The project is developed in the open on GitHub with 13.6k stars and 2 commits in the last 90 days. Across PulseGate's embedding index, datakit-profiling has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are data profiling, pandas integration, and profile reports.
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