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.
+1,124 stars
from 14,524 · score 7.03
Trending repositories
Ranked by Attention Score: stars gained over the last 90 complete days
17 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
2.GokuMohandas / Made-With-ML
Learn how to develop, deploy and iterate on production-grade ML applications.
+1,086 stars
from 48,806 · score 6.99
3.eugeneyan / applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
+853 stars
from 29,913 · score 6.75
4.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.
+655 stars
from 886 · score 6.49
5.voxel51 / fiftyone
Refine high-quality datasets and visual AI models
+309 stars
from 10,948 · score 5.74
6.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.
+269 stars
from 7,760 · score 5.60
7.fivetran / great_expectations
Always know what to expect from your data.
+248 stars
from 11,664 · score 5.52
8.feast-dev / feast
The Open Source Feature Store for AI/ML
+180 stars
from 7,172 · score 5.20
9.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.
+140 stars
from 11,584 · score 4.95
10.Data-Centric-AI-Community / fg-data-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
+123 stars
from 13,622 · score 4.82
11.treeverse / lakeFS
lakeFS - Data version control for your data lake | Git for data
+107 stars
from 5,468 · score 4.68
12.posit-dev / pointblank
Data validation toolkit for assessing and monitoring data quality.
+34 stars
from 463 · score 3.56
13.datafold / data-diffArchived
Compare tables within or across databases
+11 stars
from 2,979 · score 2.48
14.rbmuller / scherlok
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
+6 stars
from 6 · score 1.95
15.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.
+4 stars
from 191 · score 1.61
16.vertti / daffy
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.
+2 stars
from 58 · score 1.10
17.godalida / koala-diff
Blazingly fast data comparison tool for Python, powered by Rust. Compare massive CSV/Parquet datasets instantly.
+2 stars
from 7 · score 1.10