π§ Build, run, and manage data pipelines for integrating and transforming data.
Mage OSS is a self-hosted development environment designed to help teams create production-grade data pipelines with confidence.
Ideal for automating ETL tasks, architecting data flow, or orchestrating transformations β all in a fast, notebook-style interface powered by modular code.
When itβs time to scale, Mage Pro β our core platform β unlocks enterprise orchestration, collaboration, and AI-powered workflows.
Build pipelines locally with Python, SQL, or R in a modular notebook-style UI
Run jobs manually or on a schedule (cron supported)
Connect to databases, APIs, and cloud storage with prebuilt connectors
Debug visually with logs, live previews, and step-by-step execution
Set up quickly with Docker, pip, or conda β no cloud account required
Your go-to workspace for local pipeline development β fully in your control.
Use Mage OSS to build and run pipelines on your machine. When youβre ready for advanced tooling, performance, and AI-assisted productivity, Mage Pro is just one click away.
Install using Docker (recommended):
docker pull mageai/mageai:latest
Or with pip:
pip install mage-ai
Or with conda:
conda install -c conda-forge mage-ai
Full setup guide and docs: docs.mage.ai
Feature | Description |
---|---|
Modular pipelines | Build pipelines block-by-block using Python, SQL, or R |
Notebook UI | Interactive editor for writing and documenting logic |
Data integrations | Prebuilt connectors to databases, APIs, and cloud storage |
Scheduling | Trigger pipelines manually or on a schedule |
Visual debugging | Step-by-step logs, data previews, and error handling |
dbt support | Build and run dbt models directly inside Mage |
Looking for how-to guides, examples, or advanced configuration?
Explore our full documentation at docs.mage.ai.
We welcome contributions of all kinds β bug fixes, docs, new features, or community examples.
Start with our contributing guide, check out open issues, or suggest improvements.
Mage Pro is a powered-up platform built for teams.
It adds everything you need for production pipelines, at scale.