ploomber
The fastest way to build data pipelines. Develop iteratively, deploy anywhere.
GraphCanon updated 2w · GitHub synced 2w
Decision brief
Ploomber is a Python-based tool that specializes in iterative development and deployment of data pipelines, supporting Jupyter notebooks and integrating smoothly with popular IDEs like PyCharm and VSCode.
Good fit when
- Use Ploomber when you need to iteratively develop and test data pipelines using Python, as it provides native support for such workflows.
- Opt for Ploomber if you are working within a Jupyter notebook environment since it integrates seamlessly with notebooks, allowing the execution of pipeline steps directly from these environments.
Avoid when
- Avoid Ploomber if your development process does not involve iterative testing or if direct integration with Jupyter notebooks is unnecessary.
- Do not use Ploomber if you prefer a non-IDE environment and you do not need Python's ecosystem for building data pipelines, as it heavily integrates with IDEs like PyCharm and VSCode.
- Requirements:
- Works with Python versions 3.7 and higher.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Archived (430d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install ploomber PyPISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Ploomber is a Python-based tool for developing and deploying data pipelines with support for iterative development, Jupyter notebooks, and integration with IDEs like PyCharm and VSCode.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Aug 3, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 3, 2026)
*Compatible with Python 3.7 and higher.*Source link
Tags
README
Installation
Compatible with Python 3.7 and higher.
Install with pip:
pip install ploomber
Or with conda:
conda install ploomber -c conda-forge
For agents
This page has a .md twin and JSON over the API.