Ploomber

Ploomber

Ploomber is an open-source framework that helps data scientists and ML engineers quickly build, deploy, and manage data and AI application pipelines, enabling a seamless transition from development to production.
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Data pipeline developmentMachine learning workflowsMLOps toolsJupyter deploymentOpen source data science frameworkAI application pipelines

Features of Ploomber

Develop pipelines in interactive environments like Jupyter, VS Code, and PyCharm
Provides YAML and Python APIs to define modular tasks and their dependencies
Automatically caches pipeline results and supports incremental execution to shorten development cycles
Deploy pipelines to multiple environments, including Kubernetes, Airflow, and AWS Batch
Tools to refactor legacy Jupyter notebooks into modular, maintainable pipelines

Use Cases of Ploomber

When data science teams need to turn experimental notebook code into repeatable, deployable production pipelines
When ML engineers need to build and manage end-to-end workflows including data preprocessing, model training, and evaluation
When development teams prototype locally and seamlessly deploy applications to cloud platforms or cluster environments
When enterprises need to consolidate scattered data processing scripts into standardized, collaborative modular pipelines
When researchers need reproducibility of complex data analysis workflows and manage different versions

FAQ about Ploomber

QWhat is Ploomber and what is it mainly used for?

Ploomber is an open-source data science and machine learning pipeline framework designed to quickly convert scripts, notebooks, or functions into modular, deployable data pipelines, helping users smoothly transition from development to production.

QWhich development environments and editors does Ploomber support?

Ploomber supports mainstream interactive development environments including Jupyter Notebook, VS Code, and PyCharm; users can develop and debug pipelines in their preferred tools.

QWhere can pipelines built with Ploomber be deployed?

Ploomber pipelines can be deployed to multiple targets, including local runtime, Kubernetes clusters, Airflow, AWS Batch, and SLURM, usually without changing core code.

QHow does Ploomber handle large or legacy Jupyter Notebooks?

Ploomber provides refactoring tools that automatically convert large, monolithic Jupyter notebooks into modular tasks that are easier to maintain and collaborate on.

QIs Ploomber free, is there an enterprise version?

The core framework of Ploomber is open source. According to the provided information, there used to be a hosted platform named Ploomber Cloud, but it has announced its shutdown on October 31, 2025.

QHow does Ploomber help improve development efficiency of data science projects?

By automatically managing task dependencies, caching intermediate results for incremental computation, and offering a unified deployment interface, Ploomber reduces repetitive work and speeds up the journey from experimentation to production.