1.fivetran / great_expectations
Always know what to expect from your data.
+516 stars
from 11,396 · score 6.25
Trending repositories
Ranked by Attention Score: stars gained over the last 180 complete days
10 repositories by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)
2.feast-dev / feast
The Open Source Feature Store for AI/ML
+385 stars
from 6,967 · score 5.96
3.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.
+327 stars
from 11,397 · score 5.79
4.Data-Centric-AI-Community / fg-data-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
+282 stars
from 13,463 · score 5.65
5.posit-dev / pointblank
Data validation toolkit for assessing and monitoring data quality.
+70 stars
from 427 · score 4.26
6.datafold / data-diffArchived
Compare tables within or across databases
+24 stars
from 2,966 · score 3.22
7.provero-org / provero
Declarative data quality engine. Define checks in YAML, run anywhere.
+6 stars
from 11 · score 1.95
8.polyaxon / traceml
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
+4 stars
from 529 · score 1.61
9.godalida / koala-diff
Blazingly fast data comparison tool for Python, powered by Rust. Compare massive CSV/Parquet datasets instantly.
+3 stars
from 6 · score 1.39
10.vertti / daffy
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.
+2 stars
from 58 · score 1.10