Hydra ETL is an open-source Python ETL engine. Pipelines are YAML manifests checked by a validator before execution, then run on pandas or DuckDB, with an optional Rust CSV reader. Connectors: CSV, JSON, Parquet, PostgreSQL, MySQL/MariaDB, MongoDB and web APIs. Includes the hdrctl CLI, a FastAPI REST server, a visual Studio editor, DAG workflows with a scheduler, a VS Code extension and an MCP server for AI assistants. Install: pip install hydra-etl. Source and issues: https://github.com/bejaouibechir/Hydra

Features

  • Pipelines defined in YAML
  • Validation before any data is touched (hdrctl validate)
  • CLI, REST API and visual Studio on the same files
  • pandas or DuckDB engines, optional Rust acceleration
  • DAG workflows with built-in scheduler
  • MCP server for AI assistants

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2026-09-19
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