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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