airbytehq

    airbytehq/airbyte

    Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.

    22.3K stars
    5.4K forks
    179 GitHub watchers
    Updated Nov 7, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    No releases in the last 90 days; the most recent was 387 days ago, with 378 contributors on GitHub.

    Use Cases & Benefits

    • Provides open-source data movement for ELT pipelines and AI agents from APIs, databases, and files to data warehouses, lakes, and AI applications.
    • Offers a vast catalog of 700+ connectors enabling extensive source and destination coverage with customizable connectors for diverse data integration needs.
    • Use for building and managing scalable ELT pipelines that synchronize data across multiple cloud and on-premise systems.
    • Use for integrating AI agents with live data access and pipeline orchestration through the Airbyte MCP platform.
    • Use for developing custom connectors and orchestrating data workflows using no-code or low-code tools and integrations with orchestration frameworks like Airflow and Dagster.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Other

    GitHub could not identify this license; read the LICENSE file before depending on it.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

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    From the README

    Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications

    We believe that only an open-source solution to data movement can cover the long tail of data sources while empowering data engineers to customize existing connectors. Our ultimate vision is to help you move data from any source to any destination — whether that destination is a data warehouse, a data lake, or an AI agent through the Airbyte MCP. Airbyte provides a catalog of 700+ connectors for APIs, databases, data warehouses, data lakes, and AI applications.

    Screenshot taken from Airbyte Cloud.

    Try it out yourself with our demo app, visit our full documentation, and learn more about recent announcements. See our registry for a full list of connectors already available in Airbyte or Airbyte Cloud.

    The Airbyte Community can be found in the Airbyte Community Slack, where you can ask questions and voice ideas. You can also ask for help in our Airbyte Forum. Airbyte's roadmap is publicly viewable on GitHub.

    Excerpt from the airbytehq/airbyte README on GitHub (NOASSERTION license). © its authors.Read the full README on GitHub

    Compared with peers in Data Engineering

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