Join our community | Newsletter | Contact us | Docs | Blog | Website | YouTube

Ploomber is the fastest way to build data pipelines ⚡️. Use your favorite editor (Jupyter, VSCode, PyCharm) to develop interactively and deploy ☁️ without code changes (Kubernetes, Airflow, AWS Batch, and SLURM). Do you have legacy notebooks? Refactor them into modular pipelines with a single command.

Compatible with Python 3.6 and higher.

Install with pip:

pip install ploomber

Or with conda:

conda install ploomber -c conda-forge

Open a hosted JupyterLab instance:

or learn it locally in 2 minutes:

pip install ploomber --upgrade

python -m ploomber.onboard

What's next?

Ready to migrate your project? Click here.

Do you want to learn more? Check out the introductory tutorial.

Run more examples.

• Join us on Slack
• Newsletter
• YouTube
• Contact the development team

A simple YAML API to get started quickly, a powerful Python API for total flexibility.

Automatically cache your pipeline’s previous results and only re-compute tasks that have changed since your last execution.

Run as a shell script in a single machine or distributively in Kubernetes, Airflow, AWS Batch, or SLURM.

Bring your old monolithic notebooks, and we’ll automatically convert them into maintainable, modular pipelines.

I want to migrate my notebook.

Show me a demo.

• Documentation
• PyData Chicago talk (covers motivation and demo)
• Develop and deploy an ML pipeline in 30 minutes (EuroPython 2021)
• Guest blog post on the official Jupyter blog
• Examples (Machine Learning pipeline, ETL, among others)
• Blog
• Comparison with other tools
• More videos