Ten Simple Rules Dockerfiles
Ten Simple Rules for Writing Dockerfiles for Reproducible Data Science
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Metaflow | 7,524 |  | 1 | 25 | 3 months ago | 103 | December 04, 2023 | 296 | apache-2.0 | Python |
| :rocket: Build and manage real-life ML, AI, and data science projects with ease! | ||||||||||
| Knowledge Repo | 5,344 | 1 | a year ago | 32 | February 22, 2023 | 130 | apache-2.0 | Python | ||
| A next-generation curated knowledge sharing platform for data scientists and other technical professions. | ||||||||||
| Drake | 1,329 | 15 | 1 | a month ago | 47 | November 06, 2023 | gpl-3.0 | R | ||
| An R-focused pipeline toolkit for reproducibility and high-performance computing | ||||||||||
| Targets | 860 | 3 months ago | other | R | ||||||
| Function-oriented Make-like declarative workflows for R | ||||||||||
| Canvasxpress | 282 | 4 | 5 months ago | 43 | November 08, 2023 | 7 | R | |||
| CanvasXpress: A JavaScript Library for Data Analytics with Full Audit Trail Capabilities. | ||||||||||
| Steppy | 134 | 5 | 6 years ago | 16 | November 23, 2018 | 16 | mit | Python | ||
| Lightweight, Python library for fast and reproducible experimentation :microscope: | ||||||||||
| Openml R | 90 | 5 | 3 | 2 years ago | 11 | September 21, 2019 | 25 | other | Jupyter Notebook | |
| R package to interface with OpenML | ||||||||||
| Jupyter Guide | 90 | 4 years ago | 1 | mit | Jupyter Notebook | |||||
| Guide for Reproducible Research and Data Science in Jupyter Notebooks | ||||||||||
| Targets Tutorial | 90 | 7 months ago | other | R | ||||||
| Short course on the targets R package | ||||||||||
| Gittargets | 69 | 7 months ago | other | R | ||||||
| Data version control for reproducible analysis pipelines in R with {targets}. | ||||||||||
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