Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to the cloud.
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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!
FAQs
Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to the cloud.
We found that ploomber demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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