GitHub stars · StarDay

1GokuMohandas / Made-With-MLPractical material on building, deploying and iterating ML applications.Jupyter NotebookMIT · Permissive49,943

2eugeneyan / applied-ml📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.MIT · Permissive30,810

3open-metadata / OpenMetadataThe 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.TypeScriptApache-2.0 · Permissive15,695

4Data-Centric-AI-Community / fg-data-profiling1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.PythonMIT · Permissive13,752

5fivetran / great_expectationsAlways know what to expect from your data.PythonApache-2.0 · Permissive11,916

6cleanlab / cleanlabCleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.PythonApache-2.0 · Permissive11,735

7voxel51 / fiftyoneRefine high-quality datasets and visual AI modelsTypeScriptApache-2.0 · Permissive11,277

8evidentlyai / evidentlyEvidently 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.Jupyter NotebookApache-2.0 · Permissive8,047

9feast-dev / feastThe Open Source Feature Store for AI/MLPythonApache-2.0 · Permissive7,356

10treeverse / lakeFSlakeFS - Data version control for your data lake | Git for dataGoLicense not declared5,578

11GokuMohandas / mlops-courseLearn how to design, develop, deploy and iterate on production-grade ML applications.Jupyter NotebookMIT · Permissive3,415

12whylabs / whylogsAn open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈Jupyter NotebookApache-2.0 · Permissive2,838

13featureform / featureformThe Virtual Feature Store. Turn your existing data infrastructure into a feature store.GoMPL-2.0 · Share derivative source1,991

14slothflowlabs / duckleOpen-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.RustApache-2.0 · Permissive1,551

15InfuseAI / piperiderCode review for data in dbtPythonApache-2.0 · Permissive493

16wzn1118 / AsteriaAnalystEnterprise Data Analysis, Statistical Analysis, Data Visualization and Management Reporting Workbench |Analysis Lab, Traceable Evidence, FastAPI, Next.js, Windows.PythonLicense not declared286

17Seddryck / NBiNBi is a testing framework (add-on to NUnit) for Business Intelligence and Data Access. The main goal of this framework is to let users create tests with a declarative approach based on an Xml syntax. By the means of NBi, you don't need to develop C# or Java code to specify your tests! Either, you don't need Visual Studio or Eclipse to compile your test suite. Just create an Xml file and let the framework interpret it and play your tests. The framework is designed as an add-on of NUnit but with the possibility to port it easily to other testing frameworks.C#Apache-2.0 · Permissive106