---
title: "lightly"
type: "tool"
slug: "lightly-ai-lightly"
canonical_url: "https://www.graphcanon.com/tools/lightly-ai-lightly"
github_url: "https://github.com/lightly-ai/lightly"
homepage_url: "https://docs.lightly.ai/self-supervised-learning/"
stars: 3777
forks: 339
primary_language: "Python"
license: "MIT"
archived: false
categories: ["computer-vision", "model-training"]
tags: ["computer-vision", "contrastive-learning", "deep-learning", "embeddings", "self-supervised-learning"]
updated_at: "2026-07-12T08:39:30.162811+00:00"
---

# lightly

> A python library for self-supervised learning on images

Lightly is a Python library designed to facilitate self-supervised learning specifically for image data. It supports contrastive learning techniques and integrates well with PyTorch, making it useful for deep learning tasks in computer vision.

## Facts

- Repository: https://github.com/lightly-ai/lightly
- Homepage: https://docs.lightly.ai/self-supervised-learning/
- Stars: 3,777 · Forks: 339 · Open issues: 92 · Watchers: 28
- Primary language: Python
- License: MIT
- Last pushed: 2026-07-09T18:09:23+00:00

## Trust & health

_Signals computed from public GitHub metadata. Not a security guarantee._

- Maintenance: Very active (computed 2026-07-11T11:28:56.447Z)
- Security scan: No lockfile (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T11:28:57.175Z
- Full report: [trust report](/tools/lightly-ai-lightly/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/lightly-ai-lightly/trust)

## Categories

- [Computer Vision](/categories/computer-vision.md)
- [Model Training](/categories/model-training.md)

## Tags

computer-vision, contrastive-learning, deep-learning, embeddings, self-supervised-learning

## Category neighbours (exploratory)

_Same-category tools for discovery only - not curated alternatives. Cap shown at six._

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- [transformers](/tools/huggingface-transformers.md) - Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models (★ 162,482) [Very active]
- [generative-ai-for-beginners](/tools/microsoft-generative-ai-for-beginners.md) - 21 Lessons, Get Started Building with Generative AI (★ 112,866) [Very active]
- [pytorch](/tools/pytorch-pytorch.md) - Tensors and Dynamic neural networks in Python with strong GPU acceleration (★ 101,752) [Very active]
- [LLMs-from-scratch](/tools/rasbt-llms-from-scratch.md) - Implement a ChatGPT-like LLM in PyTorch from scratch, step by step (★ 98,899) [Steady]
- [DeepSeek-R1](/tools/deepseek-ai-deepseek-r1.md) - Repository contains distilled LLM models derived from Qwen and LLaMA series for various commercial uses. (★ 91,991) [Dormant]

_+ 2 more not listed._

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/lightly-ai-lightly`](/api/graphcanon/tools/lightly-ai-lightly)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_