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DataFreemiumOpen Source
MAGE
Modern open-source data pipeline tool — the replacement for Airflow
Apache-2.0
ABOUT
Data engineers struggle with the complexity of building and orchestrating data pipelines in legacy tools like Airflow, where feedback loops are slow and best practices are hard to enforce. Mage replaces this with an intuitive visual interface, instant code feedback, and built-in engineering patterns for ETL/ELT workflows, slashing development time from days to hours.
INSTALL
pip install mage-aiINTEGRATION GUIDE
1. Build and orchestrate ETL/ELT pipelines with Python, SQL, or R in a visual editor
2. Sync data between 100+ third-party sources and destinations with real-time monitoring
3. Automate data transformations for machine learning feature engineering and analytics
4. Collaborate on data workflows with team-wide version control and deployment
TAGS
pythondata-engineeringetleltdata-pipelineorchestrationsqlsparkdbtopen-source