DagsHub vs Valohai
DagsHub
dagshub.com
Valohai
valohai.comSide by side
| Figure | DagsHub | Valohai |
|---|---|---|
| Price from | $8.25/mo | — |
| Free plan | Yes | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 5 | 1 |
| Spec score · ML Experiment Tracking Software | 9.4 (#2) | 7.4 (#21) |
| Spec score · Model Registry Software | 9.3 (#2) | 7.4 (#16) |
| Spec score · Model registries | 9.4 (#4) | 7.6 (#19) |
| API | DagsHub publishes an API with interactive endpoint testing, token authentication and Basic Authentication using a username and token. | Valohai says every platform operation is available through an API for custom integrations and workflows. |
| Deployment options | Enterprise installations can run on-premises, in a VPC, in air-gapped environments, and in OpenShift environments. | The pricing page says Valohai can be deployed as a managed cloud service, on premises, in a private cloud, or in air-gapped environments. |
| Experiment tracking | Experiments can be tracked with Git, DVC experiments or MLflow, including metrics, parameters and artifacts. | The platform tracks and versions ML experiments to support reproducibility. |
| Integrations | Documented integrations include GitHub, GitLab, Bitbucket, DVC, MLflow, Label Studio, Jenkins, Slack, Discord, New Relic and Amazon S3. | Its ecosystem lists a Hugging Face template and connectors for Snowflake, BigQuery, and Redshift, plus Slurm cluster management integration. |
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.