1.fivetran / great_expectations
Always know what to expect from your data.
+11 stars
from 11,901 · score 2.48
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2.Data-Centric-AI-Community / fg-data-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
+5 stars
from 13,740 · score 1.79
3.feast-dev / feast
The Open Source Feature Store for AI/ML
+5 stars
from 7,347 · score 1.79
4.cleanlab / cleanlab
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
+4 stars
from 11,720 · score 1.61
5.vertti / daffy
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.
+1 stars
from 59 · score 0.69
6.rbmuller / scherlok
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
+1 stars
from 11 · score 0.69