Ploomber
The fastest way to build data pipelines with iterative development and deployment anywhere.
What is Ploomber?
Ploomber is a framework for building data pipelines that allows developers to work interactively in editors like Jupyter, VSCode, or PyCharm and deploy without code changes to platforms like Kubernetes, Airflow, AWS Batch, or SLURM. It solves the problem of transitioning from exploratory notebooks to production pipelines by providing automated refactoring and flexible deployment options.
Data scientists, data engineers, and ML engineers who need to build, maintain, and deploy data or machine learning pipelines, especially those working with Jupyter notebooks and requiring production deployment.
Developers choose Ploomber for its fast pipeline development, seamless integration with interactive editors, and ability to deploy anywhere without rewriting code, along with automated migration of legacy notebooks into modular pipelines.
Overview
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Use Cases
Best For
- Converting exploratory Jupyter notebooks into production data pipelines
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