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AI · alternatives · 2026

24 alternatives to Lightly – A Python library for self-supervised learning on images

A python library for self-supervised learning on images. - lightly-ai/lightly

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Lightly – A Python library for self-supervised learning on images launched in 2023; newer entries below may have overtaken it.

  1. 1

    A minimalist deep learning library written from scratch in Python - sradc/SmallPebble

    2021 · github.com · its alternatives →

  2. 2
    Lightly▲148

    Improve your machine learning models by using the right data

    2021 · lightly.ai · its alternatives →

  3. 3

    Hi HN! This is my pet project, written from scratch because there is so much to discover and learn in the process. The focus is on simplicity and incremental updates. Progress is slow because I do not have much spare time to work on this, but I would love to hear some feedback. Regards

    2022 · github.com · its alternatives →

  4. 4

    Thinc is a lightweight type-checked deep learning library for composing models, with support for layers defined in frameworks like PyTorch and TensorFlow.

    2020 · thinc.ai · its alternatives →

  5. 5

    DeepFace is a leading open-source library for facial recognition and facial attribute analysis, and the de facto standard in Python. It wraps multiple state-of-the-art models that have reached — and even surpassed — human-level accuracy in recognizing faces. By the numbers (as of early 2025): 15,000+ stars on GitHub; ~4 million installations via pip; 800+ citations in academic papers Whether you're building a cutting-edge AI project or simply exploring facial recognition, DeepFace makes advanced capabilities accessible with just a few lines of code.

    2025 · github.com · its alternatives →

  6. 6

    :speech_balloon: Machine Learning Course with Python: - GitHub - instillai/machine-learning-course: :speech_balloon: Machine Learning Course with Python:

    2019 · github.com · its alternatives →

  7. 7

    Learning machine learning has never been easier

    2017 · amazon.com · its alternatives →

  8. 8

    Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML&#x2F;data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!

    2023 · github.com · its alternatives →

  9. 9

    Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020) - benedekrozemberczki/littleballoffur

    2020 · github.com · its alternatives →

  10. 10
    QuickAI▲80

    Quickly experiment with state-of-the-art ML models

    2021 · github.com · its alternatives →

  11. 11

    Greetings! A 2.5 weekends project to teach myself newer Python features (>= 3.10). Conditions are written as Lambda expressions that annotate parameters and return types, and coexist with type annotations. Symbols to share values between conditions are also supported to a limited extend.

    2022 · github.com · its alternatives →

  12. 12

    Python package + CLI to generate stylistic wordclouds, including gradients and icon shapes! - minimaxir/stylecloud

    2019 · github.com · its alternatives →

  13. 13

    A minimal implementation of autograd (in pure Python) 🍰 - kennysong/minigrad

    2020 · github.com · its alternatives →

  14. 14

    A tool for converting computer vision label formats. - lightly-ai/labelformat

    2023 · github.com · its alternatives →

  15. 15

    Open-source machine learning library by Google

    2018 · tensorflow.org · its alternatives →

  16. 16SF

    I've made a small Python library, designed for quick-and-easy prototyping of machine learning models. It's built on top of scikit-learn, to serialize and deserialize data from the forms you're likely to have, to the format used in scikit-learn. https:&#x2F;&#x2F;github.com&#x2F;madman-bob&#x2F;Smart-Fruit It's pretty bare-bones at the moment, but I thought I'd see if there was any interest before spending too much time on it. Let me know what you think.

    2018 · its alternatives →

  17. 17

    Clean implementation of feed forward neural networks - danijar/layered

    2015 · github.com · its alternatives →

  18. 18

    Fast image IO and transformations. Contribute to RaphaelJ/friday development by creating an account on GitHub.

    2014 · github.com · its alternatives →

  19. 19

    minimal DL library in C: 24 NAIVE cuda/cpu ops, autodiff engine, python API (ops bindings/layers/models), tensor abstraction, strides, complex indexing (multi-dim slices like numpy), computation-graph visualizer, saving/loading params, primitive garbage collection, autogenerated tests, optimizers, w

    Dec 2025 · github.com · its alternatives →

  20. 20

    A tiny version of GPT fully implemented in Python with zero dependencies - isaacperez/tinygpt

    2024 · github.com · its alternatives →

  21. 21

    How to Identify AI-Generated Content

    2025 · aiadvances.org · its alternatives →

  22. 22

    From interlearn

    2024 · intercode-two.vercel.app · its alternatives →

  23. 23

    AI-powered platform to master Python easily

    2025 · devappslearn.com · its alternatives →

  24. 24

    :zap:A Lightweight NLP Data Loader for All Deep Learning Frameworks in Python - tofunlp/lineflow

    2019 · github.com · its alternatives →

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