1.open-metadata / OpenMetadata
The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
+2,208 stars
from 13,440 · score 7.70
Trending repositories
Ranked by Attention Score: stars gained over the last 180 complete days
8 repositories by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)
2.fivetran / great_expectations
Always know what to expect from your data.
+516 stars
from 11,396 · score 6.25
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.fbdesignpro / sweetviz
Visualize and compare datasets, target values and associations, with one line of code.
+54 stars
from 3,077 · score 4.01
6.Desbordante / desbordante-core
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.
+38 stars
from 477 · score 3.66
7.dqops / dqo
Data Quality and Observability platform for the whole data lifecycle, from profiling new data sources to full automation with Data Observability. Configure data quality checks from the UI or in YAML files, let DQOps run the data quality checks daily to detect data quality issues.
+9 stars
from 186 · score 2.30
8.polyaxon / traceml
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
+4 stars
from 529 · score 1.61