Mage is a modern data pipeline tool for building, running, and managing data pipelines. It integrates with Python, SQL, and R, and provides a web-based UI for development and monitoring. Current version: 0.9.79. Release cadence: frequent (multiple releases per month).
pip install mage-aiNo compatibility data collected yet for this library.
Verified import paths — ran on the pinned version, not inferred.
Start the Mage development server programmatically.
Use `uvicorn mage_ai.server.app:app --host 0.0.0.0 --port 6789` instead of calling start() in production.
Run `mage init my_project` from the terminal, not from Python.
Upgrade to latest and use `mage_ai.data_preparation` for pipeline definitions.
Run `pip install mage-ai` and ensure you're using the same Python environment (e.g., virtualenv, conda).
Upgrade to latest using `pip install --upgrade mage-ai` and use the correct import: `from mage_ai.server.app import start`.
Run `mage init project_name` in your terminal, not in Python.
No dependency data recorded yet.