Lightly
Lightly is a data-curation and active-learning platform for computer vision. The LightlyOne platform exposes a REST API at https://api.lightly.ai for managing datasets, samples, embeddings, cloud datasources, selection / active-learning runs (the LightlyOne Worker), tags, and jobs. Lightly also maintains the open-source lightly self-supervised learning SDK, plus LightlyTrain and LightlyEdge products.
Lightly publishes 7 APIs on the APIs.io network, including Datasets API, Datasources API, Embeddings API, and 4 more. Tagged areas include AI, Computer Vision, Data Curation, Active Learning, and Embeddings.
Lightly’s developer surface includes authentication, documentation, engineering blog, and 8 more developer resources.
Kin Score
APIs 8
Individual APIs this provider publishes, each with its own machine-readable definition.
Lightly Self-Supervised Learning SDK (OSS)
The open-source (Apache-2.0) lightly Python library for self-supervised representation learning on images (SimCLR, MoCo, DINO, BYOL, and more). It is a pip-installable PyTorch S...
Lightly Datasets API
Create and manage LightlyOne datasets.
Lightly Datasources API
Configure and inspect the cloud datasource backing a dataset.
Lightly Embeddings API
Manage dataset embeddings and trigger 2D projection jobs.
Lightly Jobs API
Poll asynchronous platform jobs.
Lightly Samples API
Manage samples and their signed read / write URLs within a dataset.
Lightly Selection API
Register LightlyOne Workers and schedule selection / active-learning runs.
Lightly Tags API
Manage and export dataset tags.
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Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
LightlyOne Platform API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Lightly Ai Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Lightly Ai Finops
FINOPSSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API