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SPECIFICTION
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Dataloop vs Label Studio

Dataloop

dataloop.ai

Label Studio

labelstud.io

Side by side

FigureDataloopLabel Studio
Price from—$99/mo
Free plan—Yes
Free trial—Yes
Open source—Yes
WebYesYes
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYesYes
Self-hosted—Yes
Plans published13
Spec score · Image Annotation Software7.9 (#13)9.1 (#1)
Spec score · AI Image Annotation Tools7.8 (#12)9.1 (#1)
Spec score · Video Annotation Software7.8 (#19)9.0 (#3)
Spec score · Data Labeling Software7.8 (#14)9.0 (#1)
Spec score · AI Data Labeling Tools7.7 (#13)8.9 (#1)
DeploymentDataloop says it supports on-premises or private-storage deployments with custom authentication and role-permission enforcement.Label Studio can be installed on premises or in the cloud using pip, Docker, Ubuntu, source, or Anaconda.
Founded2017HumanSignal is listed as founded in 2019.
IntegrationsThe developer guide lists cloud storage integrations for Google Cloud Platform, Amazon S3 and Microsoft Azure Blob, plus container registries including AWS ECR, Google Artifact Registry and Azure Container Registry.The integrations directory lists cloud storage, foundation model APIs, computer vision, speech and audio, ML frameworks, and infrastructure integrations.
SupportThe contact page lists a support link and gives the address 2 Sapir st, Herzliya, Israel.Community users are directed to Slack and GitHub issues, Starter Cloud includes a dedicated support portal, and Enterprise offers priority support with response time SLAs.

Plans

Dataloop

  • Custom subscriptionPriced on request

Dataloop pricing →

Label Studio

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

Label Studio pricing →

In their own words

Dataloop

Dataloop is a paid, enterprise-first AI development platform for building AI applications. It supports unstructured workflows for images, video, text, JSON, LiDAR, audio, PDF, GIS, and multimodal data. Users can work with off-the-shelf or custom models, then version, experiment, compare, and fine-tune them. Drag-and-drop pipelines or the Python SDK can coordinate data, models, and human feedback, including RLHF and other human-centric tasks. A marketplace provides models, datasets, workflow templates, and reusable components. Integrations include Google Cloud Platform, Amazon S3, Microsoft Azure Blob, AWS ECR, Google Artifact Registry, and Azure Container Registry. Dataloop lists GDPR compliance, ISO 27001, ISO 27701, and SOC 2 Type II compliance, with AES-256 and TLS v1.2 encryption. Access controls include role-based permissions, SSO, two-factor authentication, and activity logging. Deployment can be on-premises or in private storage. Pricing is available through a specialist demo.

Visit dataloop.ai

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