What are the differences between DagsHub's Individual, Team, and Enterprise plans?

DagsHub splits its plans by scale: Individual is free and aimed at individuals building small AI applications, Team is a paid per-user plan for production applications that need to scale, and Enterprise is a custom-quoted tier for high-scale workloads. If you only need public repositories or small private projects, Individual covers you; if you need unlimited private repos, multimodal annotation, or team access controls, you move to Team; if you need petabyte-scale data, on-premise installation, or SSO/LDAP/OIDC, you need Enterprise.

Plan comparison at a glance

How to choose

Choose Individual if you are a solo builder or working in the open

The free tier is designed for individuals building small AI applications. You get unlimited public repositories with unlimited collaborators, unlimited private repositories for non-commercial use, and unlimited experiment tracking on public repositories. The constraints to watch are the 100 tracked experiments in private repositories, a limit of 2 collaborators on private projects, and 20GB of DagsHub Storage. If your work is public or your private projects are small and non-commercial, this tier costs nothing and covers data versioning and lineage, notebook versioning and diffing, CI/CD/CT integration, and interactive pipelines.

Choose Team if you need production scale and private collaboration

Team is priced at $119 per user/month billed monthly, or $99 per user/month billed yearly, and starts with a 14-day free trial. It removes the Individual limits that block production work: unlimited private repositories, multimodal annotation and auto-labeling, the ability to connect your own storage, Label Studio compatibility, and Team RBAC for controlling access across members. Storage scales to up to 1TB of data or up to 2 million files, and support moves from community to DagsHub priority support. This is the tier to evaluate if your team collaborates on private datasets and needs annotation workflows plus role-based permissions.

Choose Enterprise if you have high-scale or compliance requirements

Enterprise is a custom quote and targets AI applications running high-scale workloads. It adds petabyte-scale data management, the ability to deploy models to your cluster, full VPC or air-gapped on-premise installation, SSO/LDAP/OIDC, OpenShift compatibility, organizational resource control, and an Enterprise SLA with support. If your organization requires single sign-on, on-premise or air-gapped deployment, or data volumes beyond the Team ceiling, this is the relevant tier.

What stays consistent across plans

All tiers sit on the same platform: curating and annotating multimodal (vision, audio, and LLM) datasets, tracking experiments with MLflow compatibility, and managing model versions and deployments with lineage from model back to source data. The plans differ in limits, collaboration controls, deployment options, and support rather than in the core product categories.

Practical next step

Start on Individual to validate your workflow at no cost, then move to Team when you hit private-repository, annotation, collaborator, or storage limits. Request an Enterprise quote only when you need on-premise or air-gapped deployment, SSO/LDAP/OIDC, petabyte-scale data, or an SLA. Check the pricing page for current figures before committing, since the numbers above reflect the plan details published on DagsHub.