TatraDev/pipertool

Platform for data science and machine learning prototyping. Developed by Tatradev.com

36
/ 100
Emerging

This platform helps data scientists and machine learning developers quickly build and deploy data and ML pipelines. You can take your raw data and analytical ideas, connect them into a reproducible workflow, and then deploy the full infrastructure using Docker or virtual environments. It streamlines the process from initial concept to a production-ready system.

No commits in the last 6 months. Available on PyPI.

Use this if you are a data scientist or ML developer looking to rapidly prototype, build, and deploy your data science and machine learning projects without relying on proprietary cloud services.

Not ideal if you need a simple experimental environment like Jupyter for isolated tasks or are already deeply integrated into a specific cloud ML platform like Azure ML or AWS SageMaker.

data-science machine-learning-engineering ML-pipelines rapid-prototyping production-deployment
Stale 6m No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 25 / 25
Community 3 / 25

How are scores calculated?

Stars

56

Forks

1

Language

Python

License

Apache-2.0

Last pushed

Aug 16, 2023

Commits (30d)

0

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