Compare Label Studio Editions

Label Studio is available to everyone as open source software (Label Studio Community Edition). There are also two paid editions: Starter Cloud and Enterprise.

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At-a-glance

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Feature comparison

Functionality	Community	Starter Cloud	Enterprise
User Management
Role-based workflows Role-based automated workflows for annotators and reviewers.	❌	✅	✅
Role-based access control Role-based access control into workspaces and projects: Admin, Manager, Reviewer, and Annotator.	❌	✅	✅
Data Management
Data management view View and manage datasets and tasks in a project through the Data Manager view.	✅	✅	✅
Multiple data formats Label any data type from text, images, audio, video, time series data to multimodality.	✅	✅	✅
Import data Reference data stored in your database, cloud storage buckets, or local storage and label it in the browser.	✅	✅	✅
Advanced cloud storage integrations Databricks Unity Catalog, IAM for AWS S3, Azure Blob Storage with Service Principal, and WIF for Google Cloud Storage connections.	❌	❌	✅
Import pre-annotated data Import pre-annotated data (predictions) into Label Studio for further refinement and assessment.	✅	✅	✅
Export data Export annotations as common formats like JSON, COCO, Pascal VOC and others.	✅	✅	✅
Sync data Synchronize new and labeled data between projects and your external data storage.	✅	✅	✅
Chat Generate and label conversation data. Interact live with an LLM of your choice.	❌	Limited	✅
Project Management
Organize data in projects Projects to manage data labeling activities.	✅	✅	✅
Organize projects in workspaces Organizes related projects by team, department, or product. Users can only access workspaces they associated with.	❌	❌	✅
Personal sandbox workspace Personal sandbox workspace for project testing and experimentation.	❌	✅	✅
Templates Templates to set up data labeling projects faster.	✅	✅	✅
AI assistant Use an LLM trained by HumanSignal to help you create and refine templates.	❌	✅	✅
Project membership Only users who are added as members to a project can view it.	❌	✅	✅
Project-level roles Annotator and Reviewer can be assigned to Annotator/Reviewer roles at a per-project level.	❌	✅	✅
Project-level user settings Multiple configuration options for how Annotators and Reviewers interact with tasks and what information they can see.	❌	✅	✅
Data Labeling Workflows
Assign tasks Assign tasks to certain annotators or reviewers.	❌	✅	✅
Automatically assign tasks Set rules and automate how tasks are distributed to annotators.	❌	✅	✅
Simplified interface for Annotators Annotator-specific labeling view that only shows assigned tasks.	❌	✅	✅
Bulk labeling Classify data in batches.	❌	❌	✅
Customization & Development
Tag library Use our tag library to customize the labeling interface by modifying pre-built templates or by building your own templates.	✅	✅	✅
White labeling Use your company colors and logo to give your team a consistent experience. (Additional cost)	❌	❌	✅
Plugins Use JavaScript to further enhance and customize your labeling interface.	❌	❌	✅
API/SDK & webhooks APIs, SDK, and webhooks for programmatically accessing and managing Label Studio.	✅	✅	✅
Prompts
Automated pre-labeling Rapidly pre-label tasks using LLMs.	❌	❌	✅
LLM fine-tuning and evaluation Evaluate and fine-tune LLM prompts against a ground truth dataset.	❌	❌	✅
Run benchmarks Compare model outputs against ground truth or rubric criteria.	❌	❌	✅
Machine Learning
Custom ML backends Connect a machine learning model to the backend of a project.	✅	✅	✅
Active learning loops Accelerate labeling with active learning loops.	❌	❌	✅
Predictions from connected models Automatically label and sort tasks by prediction score with the ML model backend.	✅	✅	✅
Analytics and Reporting
Project dashboards Dashboards for monitoring project progress.	❌	❌	✅
Annotator performance dashboards Dashboards to review and monitor individual annotator performance.	❌	❌	✅
Activity logs Activity logs for auditing annotation activity by project.	❌	❌	✅
Annotation history View annotation history from the labeling interface.	❌	✅	✅
Quality Workflows
Assign reviewers Assign reviewers to review, fix and update annotations.	❌	✅	✅
Automatic task reassignment Reassign tasks with low agreement scores to new annotators.	❌	✅	✅
Agreement metrics Define how annotator consensus is calculated. You can choose from pre-defined metrics or customize your own.	❌	✅	✅
Comments and notifications Team collaboration features like comments and notifications on annotation tasks.	❌	✅	✅
Identify ground truths Mark which annotations should be included in a Ground Truth dataset.	❌	✅	✅
Overlap configuration Set how many annotators must label each sample.	❌	✅	✅
Pause annotators Pause an individual annotator's progress manually or based on pre-defined behaviors.	❌	❌	✅
Annotation limits Set a limit on how many annotations a user can submit within a project before their work is paused.	❌	❌	✅
Annotator consensus matrices Matrices used to compare labeling results by different annotators.	❌	❌	✅
Label distribution charts Identify possible problems with your dataset distribution, such as an unbalanced dataset.	❌	❌	✅
Security and Support
SSO Secure access and authentication of users via SAML SSO or LDAP.	❌	❌	✅
SOC2 SOC2-compliant hosted cloud service or on-premise availability	❌	❌	✅
Support portal Access to a dedicated support portal.	❌	✅	✅
Uptime SLA 99.9% uptime SLA	❌	❌	✅
Customer Success Manager Dedicated customer success manager to support onboarding, education, and escalations.	❌	❌	✅