Dataloop vs LightlyStudio

Dataloop7.4Visit LightlyStudio6.9Visit

Higher score Dataloop #4 in Active Learning Tools 7.4/10 Pricing on request Visit Dataloop

vs

LightlyStudio #6 in Active Learning Tools 6.9/10 Free plan Free plan Visit LightlyStudio

• Dataloop fits best

  Enterprise teams labeling diverse data at scale

• LightlyStudio fits best

  Teams selecting and labeling image or video datasets

Advertiser disclosure: iTechGuides is reader-supported. We may earn a commission when you click some links. How we rank.

Side by side

Feature	Dataloop 7.4/10 Visit ↗	LightlyStudio 6.9/10 Visit ↗
At a glance
Editor score	7.4	6.9
Ranking	#4 in Active Learning Tools	#6 in Active Learning Tools
Best for	Enterprise teams labeling diverse data at scale	Teams selecting and labeling image or video datasets
Pricing model	Paid	Free
Starting price	Not published	Not published
Free plan	Not published	✓ (best)
Free trial	—	—
Deployment	Cloud	Cloud, Self-hosted
Platforms	Web	Web, Windows, macOS, Linux
Support	Email, Tickets, Docs	Email, Community, Docs
Compliance	SOC 2, ISO 27001, GDPR, SSO/SAML, 2FA	ISO 27001
Built for	Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Specs
Query strategies	Not published	Not published
Human annotation workflow	Not published	Not published
Supported data types	Not published	Not published
Model frameworks	Not published	Not published
Deployment options	Not published	Both
Our review
Pros	Model-assisted annotation and active-learning workflows Studios cover image, video, audio, text, PDF, LiDAR, and GIS Python and JavaScript SDKs, REST API, and cloud-storage integrations	Combines sampling, filtering, deduplication, review, and evaluation Supports classification, detection, and segmentation annotation Offers Python APIs, plugins, and cloud or on-premise deployment
Cons	Pricing requires contacting Dataloop or agreeing plans directly Broad workflow scope may be more than teams need for image-only labeling Cloud deployment only	Its verified annotation focus is image and video, not text workflows Multi-user controls and shared datasets are Enterprise capabilities Model-assisted labeling relies on SAM3 and LightlyTrain plugins
Our verdict	Dataloop is a cloud-based AI development platform for organizing unstructured data, building annotation workflows, and integrating models. It is aimed at data engineers, data scientists, developers, AI leaders, and human reviewers, with a… Read the review →	LightlyStudio is an open-source workflow tool for computer vision teams managing image and video datasets. It brings curation, annotation, quality review, embeddings, model evaluation, export, and Python access into one environment. Solo… Read the review →

Strengths and trade-offs

• Dataloop — where it wins

  • Model-assisted annotation and active-learning workflows
  • Studios cover image, video, audio, text, PDF, LiDAR, and GIS
  • Python and JavaScript SDKs, REST API, and cloud-storage integrations

  Where it doesn't

  • Pricing requires contacting Dataloop or agreeing plans directly
  • Broad workflow scope may be more than teams need for image-only labeling
  • Cloud deployment only

• LightlyStudio — where it wins

  • Combines sampling, filtering, deduplication, review, and evaluation
  • Supports classification, detection, and segmentation annotation
  • Offers Python APIs, plugins, and cloud or on-premise deployment

  Where it doesn't

  • Its verified annotation focus is image and video, not text workflows
  • Multi-user controls and shared datasets are Enterprise capabilities
  • Model-assisted labeling relies on SAM3 and LightlyTrain plugins

• Dataloop7.4/10 · Pricing on request

  A collaborative labeling platform with model-assisted workflows, APIs, and cloud integrations.

  Visit DataloopFull verdict →
• LightlyStudio6.9/10 · Free plan

  A broad image and video curation stack for teams building computer vision datasets.

  Visit LightlyStudioFull verdict →