1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
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- pandas-dataframe
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- jupyter-notebook
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1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Library for exploring and validating machine learning data
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
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Declarative data quality engine. Define checks in YAML, run anywhere.
Blazingly fast data comparison tool for Python, powered by Rust. Compare massive CSV/Parquet datasets instantly.
Open, audit-grade agentic data quality framework with portable industry packs