FastDeploy VS OnnxStream

Compare FastDeploy vs OnnxStream and see what are their differences.

FastDeploy

⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support. (by PaddlePaddle)

OnnxStream

Lightweight inference library for ONNX files, written in C++. It can run SDXL on a RPI Zero 2 but also Mistral 7B on desktops and servers. (by vitoplantamura)
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FastDeploy OnnxStream
5 9
2,715 1,746
1.9% -
7.5 7.4
14 days ago 11 days ago
C++ C++
Apache License 2.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

FastDeploy

Posts with mentions or reviews of FastDeploy. We have used some of these posts to build our list of alternatives and similar projects.

OnnxStream

Posts with mentions or reviews of OnnxStream. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-20.

What are some alternatives?

When comparing FastDeploy and OnnxStream you can also consider the following projects:

mmdeploy - OpenMMLab Model Deployment Framework

gemm-benchmark - Simple [sd]gemm benchmark, similar to ACES dgemm

TNN - TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

tensorRT_Pro - C++ library based on tensorrt integration

DOOM - DOOM Open Source Release

deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

deepC - vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers

jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

maps-core - The lightweight and modern Map SDK for Android and iOS

useful-transformers - Efficient Inference of Transformer models

rkflashtool - Tools for flashing Rockchip devices