Predictable pricing, designed to scale

Start building for free, collaborate with your team, then scale to petabytes of multimodal data.

Monthly Yearly

Individual

$0 per user/month

Individuals building small AI applications.

Start Free

What’s included?

Unlimited public repositories with unlimited collaborators
Unlimited private repositories for non-commercial use
Unlimited experiment tracking for public repositories
Up to 100 tracked experiments in private repositories
Up to 2 collaborators in private projects
20GB of DagsHub Storage

Data versioning and lineage
Annotations workspace for public repositories
Notebook versioning & diffing
CI/CD/CT integration
Interactive pipelines
Community support

Team

$119 per user/month

$99 per user/month

Production applications with the power to scale.

Started a 14-day free trial

What’s included?

Everything in Individual, plus:

Unlimited private repositories
Multimodal annotation and auto-labeling
Connect your own storage
Label Studio compatible
Team RBAC
DagsHub priority support
Up to 1TB of data or up to 2 million files

Enterprise

Custom quote

AI applications running high scale workloads.

What’s included?

Everything in Team, plus:

Petabyte-scale data management
Deploy models to your cluster
Full VPC/Air-gapped on-premise installation
SSO/LDAP/OIDC RBAC
OpenShift compatible
Organizational resource control
Enterprise SLA & support

These AI teams improve their data quality with DagsHub

Compare features

Individual

Team

Enterprise

	Individual Start Free	Team Get Started	Enterprise Contact Us
The Basics

Managed Storage	200GB	1TB	Custom
Team Members	1	Up to 10	Unlimited
Public Projects
Private Projects
API & Python SDK
Collaboration & RBAC
Curate & Annotate Annotation & workflow tools
Supported Data Types
Image
Audio
Video
Documents
Text
Tabular
LLM Data
Multimodal Data
DICOM & Nifti
3D & Point Cloud
Dataset Management
# of Data Points		2,000,000	Custom
Data Versioning
DVC Compatible
Connect Your Own Bucket
Data Visualization
Dataset Curation, Querying & Filtering
Visual Metadata Editing
Metadata Versioning
Export Datasets as Dataloaders & HF Datasets
Automatic Metadata Generation		Add On
Multimodal & Vector Search			Add On
Automatic Embedding Generation			Add On
Annotation
Number of Annotation Projects		5	Custom
Label Studio Compatible
Annotation Versioning
AI-assisted Labeling
Object Detection
Object Segmentation
Video Object Detection
Speaker Detection
Speech to Text
NER
OCR
RLHF
GenAI Ranking (Elo)
Custom Quality Metrics			Add On
Experiment Tracking

# of Experiment Runs	100	Unlimited	Unlimited
Track & Visualize Experiment Metrics & Parameters
MLflow Compatible
Compare Experiments
Artifact Storage
Visualize & Compare Artifacts
Reproducible Code Link
LLM Tracing and Prompt Engineering
Log Reproducible Dataset Versions
Experiment Trends
Model Management Model testing & evaluation

Model Versioning
Publish Models
Model Reproducibility (Connect to Experiment, Data & Code)
Model Webhooks
Deploy Models to Your Infrastructure
Security, Support, & Compliance

Organizational Resource Management
SSO, LDAP, and OIDC
Custom MSA & SLA
Install on VPC, On-Prem, Air-Gapped
Audit Logs
Support	Community	Chat & Email	Enterprise

Over 45,000 data scientists build AI with DagsHub

Since we started using DagsHub, we have been able to significantly reduce the time it takes to run experiments and manage models.

We’ve been using DagsHub for a long time to accelerate our experimentation and enhance our data management, and we can’t imagine working on ML projects without it.

DagsHub is designed perfectly for collaborative data science and allows you to share data and models easily with your team. Once you do one project you’ll have a hard time using anything else.