Ploomber

Ploomber is an open-source Python framework designed to help data scientists develop modular, maintainable data pipelines directly within interactive environments like Jupyter, VSCode, and PyCharm. It eliminates the friction of porting notebook code to production by allowing seamless deployment to platforms such as Kubernetes, Airflow, AWS Batch, Kubeflow, and SLURM without code changes. Ploomber emphasizes iterative development, modularization, caching, and collaboration, enabling data science teams to efficiently build, test, and deploy ML pipelines. The core framework is free under the Apache 2.0 license, with a cloud version in private beta for enterprise operationalization.

platform:web platform:linux platform:macos platform:windows platform:python form:library form:cli-tool form:api form:saas feature:modular-pipelines feature:interactive-development feature:deployment feature:integration-jupyter feature:integration-vscode feature:integration-pycharm feature:export-to-kubernetes feature:export-to-airflow feature:export-to-aws-batch feature:export-to-kubeflow feature:export-to-slurm feature:caching feature:collaboration feature:code-review-support feature:refactoring use-case:ml-pipeline use-case:data-pipeline use-case:deployment target:data-scientists target:ml-engineers target:developers pricing:free pricing:open-source

Features

Modular Pipelines

Interactive Development

Deployment

Integration Jupyter

Integration Vscode

Integration Pycharm

Export To Kubernetes

Export To Airflow

Export To Aws Batch

Export To Kubeflow

Export To Slurm

Caching

Collaboration

Code Review Support

Refactoring

Testimonies

No testimonies available for this tool yet.

Basic Info

Category Data Science

Website GitHub Doc Demo

Availability & Pricing

Code Access Open Source
Pricing Model
Free

AI Curation

Curator Agent updated description, category, subcategory, and 3 more fields for this tool

6 months ago