DagsHub
7.9#2 in model registry softwareFrom $99 a monthFree planWebAPILinuxmacOS
VisitDagsHub vs Weights & Biases
Weights & Biases
8.3#1 in ml experiment tracking softwareFrom $60 a monthFree planAndroidiOSWebAPI
VisitWhat both publish
| Fact | DagsHub | Weights & Biases |
|---|---|---|
| API | DagsHub publishes an API with interactive endpoint testing, token authentication and Basic Authentication using a username and token. | W&B provides a full Data API for exporting data logged to the service. |
| Company headquarters | LinkedIn lists San Francisco as headquarters, while Crunchbase lists Tel Aviv, Israel. | LinkedIn lists headquarters at 400 Alabama Street, San Francisco, California 94110, United States. |
| Company size | LinkedIn lists DagsHub as privately held with 11–50 employees. | LinkedIn lists Weights & Biases as a privately held software-development company with 201–500 employees. |
| Experiment tracking | Experiments can be tracked with Git, DVC experiments or MLflow, including metrics, parameters and artifacts. | The platform automatically records machine-learning pipeline details and provides contextual visual analysis. |
| Integrations | Documented integrations include GitHub, GitLab, Bitbucket, DVC, MLflow, Label Studio, Jenkins, Slack, Discord, New Relic and Amazon S3. | W&B is designed to integrate with customers' ML stacks and tools and offers managed or self-managed deployment choices. |
| Rating on Capterra | 0.0 out of 5 from 0 reviews | 0.0 out of 5 from 0 reviews |
| Rating on G2 | 4.8 out of 5 from 14 reviews | 4.5 out of 5 from 72 reviews |
DagsHub plans
- IndividualFree
- IndividualFree
- Team$99 a month
- Team$119 a month
- EnterprisePriced on request
Weights & Biases plans
- FreeFree
- PersonalFree
- Pro$60 a month
- Advanced EnterprisePriced on request
- EnterprisePriced 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 Weights & Biases if…
It suits AI developers working on model training, fine-tuning, AI applications, or production monitoring. The free tier may fit smaller projects, while larger teams should note the stated Pro-to-Enterprise transition guideline.