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SPECIFICTION
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Label Studio vs Tator

Label Studio

labelstud.io

Tator

tator.io

Side by side

FigureLabel StudioTator
Price from$99/mo—
Free planYes—
Free trialYesYes
Open sourceYes—
WebYesYes
WindowsYes—
macOSYes—
LinuxYes—
APIYesYes
Self-hostedYesYes
Plans published31
Spec score · Video Annotation Software9.0 (#3)7.2 (#29)
DeploymentLabel Studio can be installed on premises or in the cloud using pip, Docker, Ubuntu, source, or Anaconda.Customers can use Tator Cloud or have a private deployment set up on a customer-owned cloud account or on-premise infrastructure.
IntegrationsThe integrations directory lists cloud storage, foundation model APIs, computer vision, speech and audio, ML frameworks, and infrastructure integrations.Tator's workflows can delegate work to AWS Lambda or AWS SageMaker, and organizations can register their own processing resources.
PurposeLabel Studio is an open source data labeling tool for labeling multiple data types and connecting machine learning models for predictions or active learning.Tator is a customizable framework for end-to-end video and image analytics.
SecurityThe security documentation says application component interactions use TLS and the web app enforces HTTPS and secured cookies.The security documentation describes session and token authentication, access controls for organizations and projects, and file access through presigned URLs.
SupportCommunity users are directed to Slack and GitHub issues, Starter Cloud includes a dedicated support portal, and Enterprise offers priority support with response time SLAs.Enterprise subscriptions include direct engineer support via Slack, phone, or email.

Plans

Label Studio

  • Community EditionFree
  • Starter Cloud$99 a month
  • EnterprisePriced on request

Label Studio pricing →

Tator

  • Tator Enterprise SubscriptionPriced on request

Tator pricing →

In their own words

Label Studio

Label Studio is an open-source data labeling tool for text, images, audio, video, time series, and multimodal data. It provides a configurable labeling interface, project templates, data management, and annotation import and export. Custom machine-learning backends can provide predictions, while Enterprise adds automated active-learning loops. Its integrations directory spans cloud storage, foundation-model APIs, computer vision, speech and audio, machine-learning frameworks, and infrastructure. Listed storage options include Amazon S3, Google Cloud Storage, Azure Blob Storage, Databricks, Redis, and local storage. APIs, a Python SDK, and webhooks support programmatic management and integration. Deployment options include on-premises or cloud installation using pip, Docker, Ubuntu, source, or Anaconda. Security documentation describes TLS for application-component interactions, HTTPS, and secured cookies. Enterprise is described as SOC 2 and HIPAA compliant and can be deployed in the cloud or on premises, with SSO and SCIM 2.0 support. Community Edition is free. Starter Cloud costs $99 a month, with each additional user at $49 a month; Enterprise pricing is custom.

Visit labelstud.io

Tator

Tator has no write-up on Specifiction yet; its figures are above.

Visit tator.io