DagsHub
Active learning tools software
Data labeling software
Data science and machine learning platforms
Image recognition software
Machine learning software
MLOps platforms
Deep learning software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$99 per user per month
Free TrialFree version
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What is DagsHub
DagsHub is a collaborative platform for managing machine learning projects with Git-based version control, dataset and model artifact tracking, and experiment tracking. It targets data science and ML teams that need a central place to store code, data, and model iterations and to reproduce results across environments. The product integrates common open-source workflows (for example, Git and DVC-style data versioning) and provides web-based project management features for ML development and operations.
Git-centric ML collaboration
DagsHub organizes ML work around repositories, enabling teams to manage code and project history with familiar Git workflows. This approach supports collaboration patterns such as pull requests, reviews, and branching that many engineering teams already use. It helps align ML development with software engineering practices without requiring a separate, proprietary workflow for basic collaboration.
Data and experiment tracking
The platform supports tracking datasets and large files alongside code, and it provides mechanisms to log and compare experiments and model outputs. This improves reproducibility by linking results to specific code and data versions. Teams can audit how a model was produced and roll back to prior states when needed.
Integrates with open tools
DagsHub is designed to work with common ML tooling and storage patterns rather than forcing an end-to-end closed stack. This can reduce switching costs for teams that already use open-source libraries and CI/CD systems. It also supports hybrid workflows where some components run locally or in a customer-managed environment.
Labeling depth may vary
Compared with specialized data labeling suites, DagsHub’s labeling and annotation capabilities may be less comprehensive for complex workflows (for example, advanced QA routing, workforce management, or highly customized annotation UIs). Organizations with large-scale human-in-the-loop operations may need additional tooling or services. Fit depends on the modality and governance requirements of the labeling program.
Operational MLOps breadth
While it covers core versioning and experiment management, some teams may require broader MLOps capabilities such as advanced model monitoring, automated deployment orchestration, and policy-based governance. These functions often require integration with external platforms and infrastructure. As a result, end-to-end productionization may involve additional engineering effort.
Learning curve for workflows
Teams unfamiliar with Git-based processes or data versioning concepts can face onboarding friction. Establishing conventions for dataset versioning, experiment logging, and artifact management typically requires process changes. Without clear internal standards, projects can become inconsistent across teams.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Individual | $0 per user/month | Unlimited public repositories with unlimited collaborators; unlimited private repositories for non-commercial use; unlimited experiment tracking for public repos; up to 100 tracked experiments in private repos; up to 2 collaborators in private projects; 20 GB of DagsHub storage; community support. |
| Team | $119 per user/month (monthly) or $99 per user/month (billed annually) | Everything in Individual plus: unlimited private repositories; multimodal annotation and auto-labeling; connect your own storage; Label Studio compatibility; Team RBAC; DagsHub priority support; up to 1 TB of data or up to 2 million files; includes a 14-day free trial. |
| Enterprise | Custom quote | Everything in Team plus petabyte-scale data management; deploy models to your cluster; full VPC/on‑premise/air‑gapped installations; SSO/LDAP/OIDC RBAC; OpenShift compatibility; organizational resource control; enterprise SLA & support. |
Seller details
DagsHub Ltd.
Tel Aviv, Israel
2019
Private
https://dagshub.com/
https://x.com/dagshub
https://www.linkedin.com/company/dagshub/
