mlop vs Rubicon-ML
mlop
mlop.aiRubicon-ML
capitalone.github.ioSide by side
| Figure | mlop | Rubicon-ML |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 1 |
| Spec score · ML Experiment Tracking Software | 7.5 (#18) | 8.3 (#7) |
| Intended users | The documentation describes mlop as a tool for people who train machine learning models and says its free tier is for individual developers and small teams. | The package metadata identifies developers and science or research users as its intended audience. |
| Support | The pricing page includes email support for Pro and 24/7 support from founders for Enterprise. | The project README directs users to open a GitHub issue to report a bug or make a suggestion. |
| Visualization | Its documentation describes real-time training monitoring, interactive performance dashboards, and experiment comparison views. | The dashboard and widgets let users explore and compare logged model metadata. |
Plans
In their own words
Rubicon-ML
Rubicon-ML is a free, open-source Python package for capturing model training and execution details. It records inputs, outputs, parameters, and outcomes in searchable projects and experiments, while Git integration can attach repository origin, branch, and commit information for auditability. Its dashboard and widgets let users explore, filter, visualize, compare, and share logged work. Multiple experiments can be logged in parallel, and asynchronous S3 communication keeps network reads and writes from blocking. Storage backends include local files, Amazon S3, in-memory storage, and Weights & Biases. Integrations are provided for Git, Prefect, and Scikit-learn; RubiconPipeline can log parameters and metrics when Scikit-learn pipelines are fit and scored. Installations use pip or conda-forge. Visualization is an optional pip extra, while conda installs optional extras by default. The dashboard is a Dash app that can be dockerized, and remote logging does not require a hosted server. It is licensed under Apache License 2.0.