DagsHub
7.9#2 in model registry softwareFrom $99 a monthFree planWebAPILinuxmacOS
VisitDagsHub vs Valohai
What both publish
| Fact | DagsHub | Valohai |
|---|---|---|
| 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. |
DagsHub plans
- IndividualFree
- IndividualFree
- Team$99 a month
- Team$119 a month
- EnterprisePriced on request
Valohai plans
- Valohai subscriptionPriced on request
Pick DagsHub if…
DagsHub suits developers and teams managing machine-learning data, experiments, and models in one project workspace. It is a fit for users who can provide their own compute infrastructure.
Pick Valohai if…
Valohai suits ML teams building, testing, and deploying models while coordinating experiments, data, pipelines, and compute. It supports cloud, private, on-premises, and air-gapped deployment needs.