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Mage

Open-source data pipeline platform for effortless data integration, transformation, and orchestration using Python, SQL, and R.

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Repository details:
  • Stars

    7,509
  • Forks

    688
  • Last commit

    23 hours ago
  • License

    Apache-2.0
View Repository
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Mage AI revolutionizes data engineering with its intuitive, powerful, and flexible platform. This open-source tool empowers data teams to build, preview, and deploy data pipelines with ease, offering a superior alternative to complex solutions like Airflow.

Key benefits include:

  • Easy Developer Experience: Start locally with a single command or launch in your cloud using Terraform.
  • Language Flexibility: Write code in Python, SQL, or R within the same pipeline for ultimate versatility.
  • Built-in Best Practices: Modular, reusable, and testable code with data validations.
  • Instant Feedback: Interactive notebook UI for immediate results and collaborative development.
  • Data-Centric Approach: Version, partition, and catalog data produced by each code block.
  • Scalability: Transform large datasets in your data warehouse or through native Spark integration.
  • Simplified Deployment: Deploy to AWS, GCP, Azure, or DigitalOcean with just two commands.
  • Comprehensive Observability: Built-in monitoring, alerting, and intuitive UI for operational excellence.

Mage AI streamlines the entire data pipeline process, from development to production, making it an indispensable tool for modern data teams seeking efficiency and scalability.

Repository details:
  • Stars

    7,509
  • Forks

    688
  • Last commit

    23 hours ago
  • License

    Apache-2.0
View Repository
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