The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
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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
A simple YAML API to get started quickly, a powerful Python API for total flexibility.
https://user-images.githubusercontent.com/989250/150660813-fc289c6c-0ed5-432d-b6df-063ce98c0093.mp4
Automatically cache your pipeline’s previous results and only re-compute tasks that have changed since your last execution.
https://user-images.githubusercontent.com/989250/150660820-9a3a0abd-5904-492b-97ff-5494285dfebf.mp4
Run as a shell script in a single machine or distributively in Kubernetes, Airflow, AWS Batch, or SLURM.
https://user-images.githubusercontent.com/989250/150660830-3f81c9a2-5392-49e5-976d-cb8a38441ecb.mp4
Bring your old monolithic notebooks, and we’ll automatically convert them into maintainable, modular pipelines.
https://user-images.githubusercontent.com/989250/150660840-b0c12f85-504c-4233-8c3d-6724d291f1aa.mp4
I want to migrate my notebook.
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!