Ploomber

Overview

Ploomber is an open-source Python framework for building and deploying data pipelines. It supports iterative development and allows users to run pipelines across different environments. The tool is maintained by the community and has over 3,600 GitHub stars.

Best for

Best for
Data engineers and scientists building Python pipelines with iterative development needs

Use cases

• Developing data pipelines with iterative feedback loops
• Deploying Python-based pipelines to various environments
• Building modular and reusable pipeline components

Notes

Ploomber is an open-source Python framework for building and deploying data pipelines. It supports iterative development and allows users to run pipelines across different environments. The tool is maintained by the community and has over 3,600 GitHub stars.

3,623 stars on GitHub. Last updated 2025-05-29. Licensed Apache-2.0.

Use cases

• Developing data pipelines with iterative feedback loops
• Deploying Python-based pipelines to various environments
• Building modular and reusable pipeline components

Pros

• Open-source with a strong community following
• Python-native, enabling easy integration with data science libraries
• Supports local development and cloud deployment workflows

Cons

• Community-supported, so enterprise support may be limited
• Learning curve for users unfamiliar with pipeline abstractions
• May lack some advanced scheduling or monitoring features found in commercial tools

Indexed from awesome-llmops and enriched against its public facts.