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.
+71 stars
from 15,577 · score 4.28
Trending repositories
Ranked by Attention Score: stars gained over the last 7 complete days
13 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
2.GokuMohandas / Made-With-ML
Learn how to develop, deploy and iterate on production-grade ML applications.
+68 stars
from 49,824 · score 4.23
3.eugeneyan / applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
+50 stars
from 30,716 · score 3.93
4.voxel51 / fiftyone
Refine high-quality datasets and visual AI models
+28 stars
from 11,229 · score 3.37
5.evidentlyai / evidently
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.
+19 stars
from 8,010 · score 3.00
6.fivetran / great_expectations
Always know what to expect from your data.
+11 stars
from 11,901 · score 2.48
7.slothflowlabs / duckle
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
+11 stars
from 1,530 · score 2.48
8.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
9.feast-dev / feast
The Open Source Feature Store for AI/ML
+5 stars
from 7,347 · score 1.79
10.treeverse / lakeFS
lakeFS - Data version control for your data lake | Git for data
+5 stars
from 5,570 · score 1.79
11.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
12.vertti / daffy
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.
+1 stars
from 59 · score 0.69
13.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