WasmEdge-go vs yomo-wasmedge-tensorflow

WasmEdge-go

The GO language SDK and API for WasmEdge (by second-state)

Source Code

secondstate.io

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This application demonstrates how to launch high-performance "serverless" functions from the YoMo framework to process streaming data. The functions are embedded in a WebAssembly VM, WasmEdge, for safety, security, portability, and manageability. (by yomorun)

Quic yomo Golang WebAssembly wasmedge second-state Rust

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WasmEdge-go		yomo-wasmedge-tensorflow
	Project
1	Mentions	2
106	Stars	59
0.0%	Growth	-
5.3	Activity	4.1
7 months ago	Latest Commit	3 months ago
Go	Language	Go
Apache License 2.0	License	MIT License

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.

WasmEdge-go

Posts with mentions or reviews of WasmEdge-go. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-08.

Enjoy the most lightweight AI inference
5 projects | dev.to | 8 Jul 2021

# Install WasmEdge $ wget https://github.com/second-state/WasmEdge-go/releases/download/v0.8.1/install_wasmedge.sh $ chmod +x ./install_wasmedge.sh $ sudo ./install_wasmedge.sh /usr/local # Install WasmEdge Tensorflow extension $ wget https://github.com/second-state/WasmEdge-go/releases/download/v0.8.1/install_wasmedge_tensorflow_deps.sh $ wget https://github.com/second-state/WasmEdge-go/releases/download/v0.8.1/install_wasmedge_tensorflow.sh $ chmod +x ./install_wasmedge_tensorflow_deps.sh $ chmod +x ./install_wasmedge_tensorflow.sh $ sudo ./install_wasmedge_tensorflow_deps.sh /usr/local $ sudo ./install_wasmedge_tensorflow.sh /usr/local # Install WasmEdge Images extension $ wget https://github.com/second-state/WasmEdge-go/releases/download/v0.8.1/install_wasmedge_image_deps.sh $ wget https://github.com/second-state/WasmEdge-go/releases/download/v0.8.1/install_wasmedge_image.sh $ chmod +x ./install_wasmedge_image_deps.sh $ chmod +x ./install_wasmedge_image.sh $ sudo ./install_wasmedge_image_deps.sh /usr/local $ sudo ./install_wasmedge_image.sh /usr/local

yomo-wasmedge-tensorflow

Posts with mentions or reviews of yomo-wasmedge-tensorflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-08.

Enjoy the most lightweight AI inference
5 projects | dev.to | 8 Jul 2021

# Download a video file $ wget -P source 'https://github.com/yomorun/yomo-wasmedge-tensorflow/releases/download/v0.1.0/hot-dog.mp4' # Stream the video to YoMo $ go run ./source/main.go ./source/hot-dog.mp4
Streaming Image Recognition by WebAssembly and Tensorflow
8 projects | dev.to | 27 Jun 2021

$ git clone https://github.com/yomorun/yomo-wasmedge-tensorflow.git

What are some alternatives?

When comparing WasmEdge-go and yomo-wasmedge-tensorflow you can also consider the following projects:

SSVM - WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.

yomo - 🦖 Stateful Serverless Framework for building Geo-distributed Edge AI Infra

WasmEdge-image

rustwasmc - Tool for building Rust functions for Node.js. Combine the performance of Rust, safety and portability of WebAssembly, and ease of use of JavaScript.

WasmEdge-tensorflow

cli - Command-line tools for YoMo.

WasmEdge-tensorflow-deps

qt - Qt binding for Go (Golang) with support for Windows / macOS / Linux / FreeBSD / Android / iOS / Sailfish OS / Raspberry Pi / AsteroidOS / Ubuntu Touch / JavaScript / WebAssembly

Pion WebRTC - Pure Go implementation of the WebRTC API