Alternatives

Pytorch Onn alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

Pytorch Onn

A PyTorch Library for Photonic AI Computing Model Training and Co-Design (NeurIPS'21)

72
Quality
78
Trust
320
Stars
#1

Pytorch Lightning

Similarity 141Trust 93Excellent 100

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

31K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add Lightning-AI/pytorch-lightning
#2

Keras

Similarity 141Trust 92Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#3

Pytorch

Similarity 141Trust 88Excellent 100

Tensors and Dynamic neural networks in Python with strong GPU acceleration

101K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/pytorch
#4

Stable Baselines3

Similarity 140Trust 93Excellent 100

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

13K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add DLR-RM/stable-baselines3
#5

Kornia

Similarity 139Trust 91Excellent 100

🐍 Geometric Computer Vision Library for Spatial AI

11K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add kornia/kornia
#6

Pyro

Similarity 139Trust 91Excellent 100

Deep universal probabilistic programming with Python and PyTorch

9.0K starsJun 5, 2026 pushml-automationPythonMachine Learning
$ npx skills add pyro-ppl/pyro
#7

Bitsandbytes

Similarity 139Trust 90Excellent 100

Accessible large language models via k-bit quantization for PyTorch.

8.3K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add bitsandbytes-foundation/bitsandbytes
#8

Tensorflow

Similarity 135Trust 91Excellent 100

An Open Source Machine Learning Framework for Everyone

196K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add tensorflow/tensorflow
#9

Paddle

Similarity 135Trust 93Excellent 100

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

24K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add PaddlePaddle/Paddle
#10

Handson Ml

Similarity 135Trust 91Excellent 100

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

26K starsMay 19, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add ageron/handson-ml
#11

Fastai

Similarity 135Trust 90Excellent 100

The fastai deep learning library

28K starsMay 20, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add fastai/fastai
#12

Yolov5

Similarity 133Trust 92Excellent 100

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

58K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/yolov5
#13

Vision

Similarity 132Trust 92Excellent 100

Datasets, Transforms and Models specific to Computer Vision

18K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/vision
#14

Nltk

Similarity 132Trust 92Excellent 100

NLTK Source

15K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add nltk/nltk
#15

Optuna

Similarity 132Trust 92Excellent 100

A hyperparameter optimization framework

14K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add optuna/optuna
#16

ChatterBot

Similarity 132Trust 91Excellent 100

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

14K starsMar 24, 2026 pushml-automationPythonMachine Learning
$ npx skills add gunthercox/ChatterBot

How to choose

When should you switch?

Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Pytorch Onn if it already passes your workflow test and repository review.

Next step

Compare top candidates side by side

Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.