DagsHub vs LabML
DagsHub
dagshub.comLabML
labml.aiSide by side
| Figure | DagsHub | LabML |
|---|---|---|
| Price from | $8.25/mo | — |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 5 | 0 |
| Spec score · ML Experiment Tracking Software | 9.4 (#2) | 7.7 (#12) |
| Experiment tracking | Experiments can be tracked with Git, DVC experiments or MLflow, including metrics, parameters and artifacts. | The platform tracks metrics and experiment details including hyperparameters and Git commits. |
| Self-hosting | Enterprise customers can install DagsHub on their own infrastructure, including on-premises, VPC, air-gapped and OpenShift environments. | The quick start installs the app with pip and starts a local server with `labml app-server`. |
Plans
DagsHub
- IndividualFree
- IndividualFree
- Team$99 a year
- Team$119 a month
- EnterprisePriced on request
In their own words
DagsHub
DagsHub helps developers and teams manage machine-learning projects, from data collection and dataset curation through annotation, experimentation, and model management. A project workspace can hold code, data, experiments, models, pipelines, and annotations together. The platform is designed for text, images, audio, video, documents, medical imaging, and binary files. Experiment tracking supports run comparison, metric and parameter visualization, real-time progress monitoring, and reproducibility. Data Engine provides curation, visualization, quality review, lineage, hard-example mining, labeling, auto-labeling, and data streaming. Official integrations include tools such as GitHub, Google Colab, DVC, MLflow, Jenkins, Label Studio, Google Drive, Weights & Biases, and Hugging Face; hosted projects also have support for the MLflow and Label Studio APIs. DagsHub hosts data but does not provide compute, so projects rely on local, cloud, or edge infrastructure. Enterprise installations can run on-premises, in a VPC, in air-gapped environments, and in OpenShift environments. The Individual plan is free, with stated private-repository limits; paid pricing starts at $99/user/mo billed annually, and a 14-day trial is available.