cookiecutter-docker-science and biscuit-cutter

These are competitors—both provide cookiecutter templates for containerized data science projects with similar goals of reproducibility and Docker orchestration, so users would typically choose one or the other rather than use both.

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 23/25
Maintenance 0/25
Adoption 3/25
Maturity 16/25
Community 12/25
Stars: 360
Forks: 81
Downloads:
Commits (30d): 0
Language: Makefile
License: Apache-2.0
Stars: 3
Forks: 1
Downloads:
Commits (30d): 0
Language: Dockerfile
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About cookiecutter-docker-science

docker-science/cookiecutter-docker-science

Cookiecutter template for data scientists working with Docker containers

This project helps data scientists set up and manage their machine learning experiments to ensure results are consistent and reproducible. It takes your project name and data source, then generates a structured project directory with pre-configured Docker settings and useful scripts. Anyone running machine learning or data mining experiments who struggles with inconsistent environments will find this helpful.

machine-learning data-mining experiment-reproducibility data-science-project-setup ml-ops-starter

About biscuit-cutter

harrisonpim/biscuit-cutter

:cookie: A cookiecutter structure for reproducible data science projects, orchestrated with docker

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