Mage AI
the six Ws · specification
Mage (mage-ai), a data-tooling startup, develops the open-source Mage AI platform.
A self-hosted, notebook-style tool for building, running, and managing ETL and data transformation pipelines.
Self-hosted via Docker or pip install, with a web-based modular notebook UI.
Launched in 2022 and actively maintained through 2026.
Offers a faster, more approachable alternative to Airflow for architecting data flow and orchestrating transformations.
Supports Python, SQL, and R blocks, and connects to databases, APIs, and cloud storage via prebuilt connectors.
Open-source (Apache 2.0 license) on GitHub, self-hosted, data and pipeline code remain on the deployer's own infrastructure.
alternatives