Rubicon-ML¶

Capital One originally developed this project to track the lineage for their data science projects. It is open sourced to be used by the bigger community.

Logo
Website	https://capitalone.github.io/rubicon-ml/
Repository	https://github.com/capitalone/rubicon-ml
Byline	rubicon-ml is a data science tool that captures and stores model training and execution information, like parameters and outcomes, in a repeatable and searchable way.
License	Apache 2.0
Project age	1 years 9 months
Backers	Capital One (Creator and maintainer)
Lastest News (2022-11-16)	v0.4.0 Address existing deprecations; deprecate async submodule; add new examples & example cleanup; add failure modes; dependency … more
Size score (1 to 10, higher is better)	2.5
Trend score (1 to 10, higher is better)	7.25

Education Resources¶

URL	Resource Type	Description
https://capitalone.github.io/rubicon-ml/install.html	Documentation	Official project documentation.

Git Commit Statistics¶

Statistics computed using Git data through November 30, 2022.

Statistic	Lifetime	Last 12 Months
Commits	2,614	762
Lines committed	1,300,189	364,282
Unique committers	14	8
Core committers	3	2

../_images/capitalone_rubicon-ml-monthly-commits.png

Similar Projects¶

Project	Size Score	Trend Score	Byline
Data Workspaces	2.25	3.5	Easy management of source data, intermediate data, and results for data science projects.
Flambe	1.5	2.25	Flambé is a machine learning experimentation framework built to accelerate the entire research life cycle. Flambé’s main objective is to provide a unified interface for prototyping models, running experiments containing complex pipelines, monitoring those experiments in real-time, reporting results, and deploying a final model for inference.
MLflow	9.25	8.5	An open source platform for the machine learning lifecycle
PyCaret	8.5	8.0	An open-source, low-code machine learning library in Python.