1.Data-Centric-AI-Community / fg-data-profiling1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames. pandas-profilingpandas-dataframestatisticsjupyter-notebookexplorationdata-science+14 morePythonMIT14K total1.8K forks+124 starsfrom 13,624 · score 4.83
2.unionai-oss / panderaA light-weight, flexible, and expressive statistical data testing librarypandasvalidationschemadataframestestingpandas-validation+12 morePythonMIT4.5K total503 forks+99 starsfrom 4,411 · score 4.61
3.posit-dev / pointblankData validation toolkit for assessing and monitoring data quality.data-validationtabular-datadata-testingdata-qualityeasy-to-understandPythonMIT498 total38 forks+31 starsfrom 467 · score 3.47
4.sfu-db / dataprepOpen-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.dataprepdata-sciencedatapreparationdataconnectoredaexploratory-data-analysis+7 morePythonMIT2.3K total221 forks+27 starsfrom 2,243 · score 3.33
5.datafold / data-diffArchivedCompare tables within or across databasesdatabasemysqlpostgresqlsnowflakerdbmstrino+14 morePythonMIT3K total318 forks+9 starsfrom 2,979 · score 2.30
6.vertti / daffyLightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.pandasdataframevalidationpolarspydanticdata-quality+10 morePythonMIT60 total5 forks+2 starsfrom 58 · score 1.10