ploomber/ploomber: The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️ · GitHub

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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 3.7 and higher.

Install with pip:

pip install ploomber

Or with conda:

conda install ploomber -c conda-forge

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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

Ploomber is a big community of data enthusiasts pushing the boundaries of Data Science and Machine Learning tooling.

Whatever your skillset is, you can contribute to our mission. So whether you're a beginner or an experienced professional, you're welcome to join us on this journey!

Click here to know how you can contribute to Ploomber.