Apache Superset is a Data Visualization and Data Exploration Platform

Learn how to develop, deploy and iterate on production-grade ML applications.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

This is a repo with links to everything you'd ever want to learn about data engineering

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

Turns Data and AI algorithms into production-ready web applications in no time.

Workflow Engine for Kubernetes

An orchestration platform for the development, production, and observation of data assets.

The Data Engineering Cookbook

Roadmap to becoming a data engineer in 2021

Always know what to expect from your data.

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.

Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.

🧙 Build, run, and manage data pipelines for integrating and transforming data.

Fancy stream processing made operationally mundane

A curated list of data engineering tools for software developers

Open Source Feature Flags, Experimentation, and Product Analytics

The Open Source Feature Store for AI/ML

Data transformation framework for AI. Ultra performant, with incremental processing. 🌟 Star if you like it!

Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.

Business intelligence as code: build fast, interactive data visualizations in SQL and markdown

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

lakeFS - Data version control for your data lake | Git for data

data load tool (dlt) is an open source Python library that makes data loading easy 🛠️

Privacy and Security focused Segment-alternative, in Golang and React