
Who Ploomber is for#
Data scientists productionizing notebooks
Use Ploomber to turn notebooks into modular pipelines without rewriting them as Airflow operators first.
Skip if:
Your team already has a mature data engineering platform and notebooks are not part of production work.
ML engineers iterating on pipelines
Use Ploomber when cached task execution and local development speed matter before deployment.
Skip if:
You need managed experiment tracking and hosted training as the primary product.
Teams migrating legacy notebooks
Use Ploomber's refactoring workflow to split monolithic notebooks into maintainable pipeline tasks.
What it's built on#
- Languages
- Python
- Databases
- PostgreSQL

