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mage-ai
Advanced tools
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 — all in a fast, notebook-style interface powered by modular code.
When it’s time to scale, Mage Pro — our core platform — 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 — no cloud account required
Your go-to workspace for local pipeline development — fully in your control.
Use Mage OSS to build and run pipelines on your machine. When you're 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 — 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.
FAQs
Mage is a tool for building and deploying data pipelines.
We found that mage-ai demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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