Alternatives

CrazyAra alternatives for AI agents.

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

Current skill

CrazyAra

A Deep Learning UCI-Chess Variant Engine written in C++ & Python :parrot:

72
Quality
76
Trust
289
Stars
#1

AI For Beginners

Similarity 141Trust 88Excellent 100

12 Weeks, 24 Lessons, AI for All!

48K starsJun 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/AI-For-Beginners
#2

LLMs From Scratch

Similarity 140Trust 85Excellent 100

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

97K starsJun 2, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add rasbt/LLMs-from-scratch
#3

Pytorch Lightning

Similarity 135Trust 90Excellent 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
#4

SpaCy

Similarity 135Trust 87Excellent 100

๐Ÿ’ซ Industrial-strength Natural Language Processing (NLP) in Python

34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy
#5

Datasets

Similarity 134Trust 90Excellent 100

๐Ÿค— The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

22K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add huggingface/datasets
#6

Onnx

Similarity 134Trust 88Excellent 100

Open standard for machine learning interoperability

21K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add onnx/onnx
#7

Cs249r Book

Similarity 134Trust 85Excellent 100

Machine Learning Systems

25K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add harvard-edge/cs249r_book
#8

CLIP

Similarity 133Trust 89Excellent 100

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

34K starsMar 25, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add openai/CLIP
#9

Kornia

Similarity 133Trust 87Excellent 100

๐Ÿ Geometric Computer Vision Library for Spatial AI

11K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add kornia/kornia
#10

Handson Ml

Similarity 132Trust 88Excellent 100

โ›”๏ธ DEPRECATED โ€“ 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

Shap

Similarity 132Trust 88Excellent 100

A game theoretic approach to explain the output of any machine learning model.

26K starsJun 15, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add shap/shap
#12

Fastai

Similarity 132Trust 87Excellent 100

The fastai deep learning library

28K starsMay 20, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add fastai/fastai
#13

Stanza

Similarity 130Trust 85Excellent 93

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

7.8K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add stanfordnlp/stanza
#14

Notebooks

Similarity 129Trust 84Excellent 94

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

9.5K starsMay 21, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add roboflow/notebooks
#15

Transformers

Similarity 127Trust 90Excellent 100

๐Ÿค— Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

162K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add huggingface/transformers
#16

Ray

Similarity 127Trust 90Excellent 100

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ray-project/ray

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 CrazyAra 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.