Label Studio vs Supervisely
On the evidence we track, Supervisely leads this comparison with a composite score of 55/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for data labeling. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Label Studio
A freely available platform for labeling multiple data types including images, video, audio, and text. Supports local self-hosting and cloud deployment with integration to machine learning pipelines and models.
Supervisely
LeaderSupervisely is a web-based platform for labeling images, videos, 3D point clouds, and medical images, with built-in AI-assisted annotation, neural network training, and model deployment capabilities. It supports on-premise and cloud deployments with Python SDK and REST API integration.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Supervisely
LeaderFree tier for researchers and small teams; Pro from 199€/month; Enterprise custom pricing
- CommunityFree
- Image labeling
- Video labeling (basic)
- 3D point cloud labeling
- Medical 3D labeling (basic)
- Neural network integration
- +3 more
- ProFrom 199€/month with 30-day free trial
- Full image labeling with AI assistance
- Full video labeling with tracking
- 3D point cloud labeling with interactive tools
- Medical 3D labeling with DICOM support
- Team collaboration and role-based access
- +12 more
- EnterpriseContact sales
- All Pro features
- Self-hosted deployment (on-premises)
- Air-gapped deployment (offline mode)
- Custom SSL certificates and DNS
- Virus scanning and asset verification
- +10 more
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Google Cloud Storage
Label Studio
- Azure Blob Storage
- AWS S3
- Redis
- OpenAI
- Google Vertex AI
- Docling
- Tesseract
- Unstructured.io
- Nvidia NeMo
- Chainlit
- LangChain
- Kubernetes
- Terraform
- Grounding DINO
- Braintrust
- IBM watsonx
Supervisely
Leader- Github
- Gitlab
- AWS
- Azure
- OpenID
- LDAP
Label Studio or Supervisely: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.