Home/Computer Vision/lightly

lightly

lightly-ai/lightly

A python library for self-supervised learning on images.

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

52views this month

3.8k stars367 forksLast push Sep 18, 2026 Python MIT

Decision brief

Lightly specializes in self-supervised learning for image data to improve computer vision models without labeled datasets.

Good fit when

You need to enhance model performance with unlabeled image data.
Your project benefits from modern contrastive-learning techniques.

Avoid when

Labeled datasets are abundant and of high quality for your use case.
Project requirements strictly limit the use of Python-based libraries.

Observed Jul 12, 2026 · Source: enrich:decision_facts

lightly alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Very active (1d since push); As of Sep 20, 2026
Provenance: Not a fork · Organization account; As of Sep 20, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install lightly

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

segment-anything

Provides code for running inference with the SegmentAnything Model (SAM), including model checkpoints and example notebooks.

pytorch-lightning

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

AutoML library for deep learning

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Provides tools and utilities to perform self-supervised learning, particularly aimed at image data which is critical for enhancing model performance in computer vision tasks without requiring labeled datasets.

Capability facts

CLI: CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 20, 2026
Languages: python
Source: github.language+pyproject.toml · Sep 20, 2026

Categories

Computer Vision Model Training

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

Lightly requires **Python 3.8+**. We recommend installing Lightly in a **Linux** or **OSX** environment. Pyth

Tags

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

README

Quick Start Lightly requires Python 3.8+ . We recommend installing Lightly in a Linux or OSX environment. Python 3.13 is not yet supported, as PyTorch itself lacks Python 3.13 compatibility. Installation You can install Lightly and its dependencies from PyPI with: We strongly rec...

For agents

This page has a .md twin and JSON over the API.

/tools/lightly-ai-lightly.md GET /api/graphcanon/tools/lightly-ai-lightly GET /api/graphcanon/graph?tool=lightly-ai-lightly

Was this helpful?

Anonymous feedback helps us improve pages and translations.