Side by side
DVCLive vs Rubicon-ML
Both stand on ml experiment tracking software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Choose DVCLive if you want a free Python library for recording and comparing machine learning runs within a Git and DVC workflow. Its framework integrations and pipeline use can support varied experiment setups. Plan your run paths carefully because each run overwrites prior results saved to the same location.
Visit DVCLiveRubicon-ML provides experiment logging, storage choices, and review tools in a Python package that can work without a hosted server. Users considering its Weights & Biases backend should account for the documented missing capabilities.
Visit Rubicon-MLThe facts
| DVCLive | Rubicon-ML | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | API | API, Linux, Self-hosted, Web |
| Lowest paid plan | Free or on request | Free or on request |
| Plans published | 1 | 1 |
| Maker | Not published | Not published |
| Website | dvc.org | capitalone.github.io |
| On ml experiment tracking software | #8 of 39 | #12 of 39 |
DVCLive: what it does well
- Logs parameters, metrics, artifacts, images, and plots.
- Tracks experiments through Git and DVC without a central database.
- Supports comparison of DVC experiments.
- Can cache large artifacts and track their metadata in Git.
- Optional monitoring records GPU, CPU, RAM, and disk usage.
What to know first
- Latest version requires Python 3.9 or later.
- Each run overwrites earlier results saved at the same path.
- Some logging, reporting, and framework integrations require optional dependencies.
Rubicon-ML: what it does well
- Records inputs, outputs, parameters, and outcomes.
- Connects experiments with Git branch and commit details.
- Supports local filesystem, S3, and in-memory storage.
- Integrates with Prefect and Scikit-learn.
- Logs experiments in parallel.
What to know first
- Weights & Biases backend is experimental.
- W&B lacks project-level artifacts and dataframes.
- Visualization tools are an optional pip extra.
Alternatives to DVCLive Alternatives to Rubicon-ML The whole list