skillfed

lightly-utils

A utility package for lightly

lightly-utils v0.0.2 158.8K downloads/30d#10,712 on PyPI3,793
Permissive license MIT Active released

What it is and what it does

Lightly-utils is a utility package that extends the Lightly self-supervised learning framework. It provides helper functions and building blocks for computer vision tasks using self-supervised learning techniques. The package is designed to work alongside the main Lightly framework, which supports multiple SSL models for pretraining vision models without labeled data.

The package depends on numpy for numerical operations and Pillow for image handling. It is intended for researchers and developers working with self-supervised learning in PyTorch environments, particularly those using PyTorch Lightning for distributed training. The framework exposes modular components like loss functions and model heads that can be customized for different pretraining approaches.

Use it for:

  • Preprocessing and utility support when building self-supervised learning pipelines with Lightly
  • Handling image data transformations and operations in computer vision SSL workflows
  • Providing helper functions for custom backbone model integration in SSL pretraining
  • Supporting distributed training setups via PyTorch Lightning with utility functions

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Provides utility functions and helpers for the Lightly self-supervised learning framework, supporting computer vision model pretraining with numpy and Pillow.

Yes, if you are actively using the Lightly framework for self-supervised learning and need its utility functions. The package has low install friction, permissive licensing, and no known vulnerabilities. However, verify that this utility package is still the recommended approach for your Lightly version, as the last release was in 2021.

Install

lightly-utils on PyPI

pip

pip install lightly-utils

uv

uv add lightly-utils

poetry

poetry add lightly-utils

Installing lightly-utils

Before you install

Low install friction with just two runtime dependencies (numpy and Pillow). Package is actively maintained with recent commits and marked as Production/Stable, though the last release was in 2021.

License in practice

MIT license permits free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.

Quickstart

pip install lightly-utils
import lightly_utils

Verify before relying

  • Whether this utility package is still actively developed or if it is superseded by newer Lightly components
  • What specific utilities this package provides beyond what the main framework offers
  • Compatibility with PyTorch and PyTorch Lightning versions

Package facts

License MIT (permissive)
Python support supports the current Python release (>=3.6)
Install friction low — pure-Python wheel
Runtime dependencies 2 — numpy, Pillow
Maintenance actively maintained — 1,863 days since the last release
Last repo commit
First released
Downloads 158,833/month — #10,712 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: lightly_utils-0.0.2-py3-none-any.whl

Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/EngineeringTopic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Scientific/Engineering :: MathematicsTopic :: Software DevelopmentTopic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Python Modules

Tags

self-supervised learning utilitieslightly framework helperscomputer vision pretraining toolsssl model utilitiesimage processing utilities
self-supervised-learningcomputer-vision

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