#1
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
21K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add microsoft/onnxruntimeAlternatives
OnnxStream alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
OnnxStream
Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK. Python, C# and JS(WASM) bindings available.
100
Quality
87
Trust
2.1K
Stars
#2
Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
58K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/yolov5#3
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
18K starsMay 19, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add meta-llama/llama-cookbook#4
A WebGL accelerated JavaScript library for training and deploying ML models.
19K starsJun 15, 2026 pushml-automationTypeScriptMachine Learning
$ npx skills add tensorflow/tfjs#5
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
28K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add dmlc/xgboost#6
Cross-platform, customizable ML solutions for live and streaming media.
36K starsJun 15, 2026 pushml-automationC++Machine Learning
$ npx skills add google-ai-edge/mediapipe#7
An Open Source Machine Learning Framework for Everyone
196K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add tensorflow/tensorflow#8
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#9
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
18K starsJun 9, 2026 pushml-automationC++Machine Learning
$ npx skills add lightgbm-org/LightGBM#10
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
15K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add alibaba/MNN#11
Tensor library for machine learning
15K starsJun 15, 2026 pushml-automationC++Machine Learning
$ npx skills add ggml-org/ggml#12
A toolkit for making real world machine learning and data analysis applications in C++
14K starsMay 7, 2026 pushml-automationC++Machine Learning
$ npx skills add davisking/dlib#13
Open3D: A Modern Library for 3D Data Processing
14K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add isl-org/Open3D#14
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
9.0K starsJun 12, 2026 pushml-automationC++Machine Learning
$ npx skills add catboost/catboost#15
Fit interpretable models. Explain blackbox machine learning.
6.9K starsJun 15, 2026 pushml-automationC++Machine Learning
$ npx skills add interpretml/interpret#16
🤗 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/transformersHow 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 OnnxStream 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.