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

../_images/capitalone_rubicon-ml-small.png

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

0 years 4 months

Backers

Capital One (Creator and maintainer)

Size score (1 to 10, higher is better)

1.5

Trend score (1 to 10, higher is better)

8.0

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 June 30, 2021.

Statistic

Lifetime

Last 12 Months

Commits

60

60

Lines committed

39,262

39,262

Unique committers

6

6

Core committers

2

2

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

Similar Projects

Project

Size Score

Trend Score

Byline

Data Workspaces

1.75

3.0

Easy management of source data, intermediate data, and results for data science projects.

Flambe

1.5

1.0

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

6.75

4.75

An open source platform for the machine learning lifecycle

PyCaret

7.5

7.0

An open-source, low-code machine learning library in Python.