goio
yomo
goio | yomo | |
---|---|---|
- | 8 | |
78 | 1,614 | |
- | 0.8% | |
5.7 | 9.0 | |
11 months ago | 10 days ago | |
Go | Go | |
MIT License | Apache License 2.0 |
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.
goio
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yomo
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FireScroll - An unkillable multi-region KV database that scales reads to infinity
I have used HTTP3 QUIC for really fast edge. This golang project: https://github.com/yomorun/yomo
- Instant Messaging: XMPP or GO Socket
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Enjoy the most lightweight AI inference
YoMo is a programming framework enabling developers to build a distributed cloud system (Geo-Distributed Cloud System). YoMo's communication layer is made on top of the QUIC protocol, which brings high-speed data transmission. In addition, it has a built-in Streaming Serverless “streaming function”, which significantly improves the development experience of distributed cloud systems. The distributed cloud system built by YoMo provides an ultra-high-speed communication mechanism between near-field computing power and terminals. It has a wide range of use cases in Metaverse, VR/AR, IoT, etc.
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Streaming Image Recognition by WebAssembly and Tensorflow
This project demonstrates how to process a video stream in real-time using WebAssembly and apply a pre-trained food classification model to each frame of the video in order to determine if food is present in that frame, all by integrating WasmEdge into YoMo serverless.
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DEBS Grand Challenge: Real-Time Stream Processing with YoMo
The organization of this article is as follows. First, we will take a quick look at what kind of data we are dealing with. Then, we will introduce two queries, which were originally proposed by ACM DEBS. Finally, we will install YoMo, which is an open-source framework for real-time stream processing, and implement both queries as described.
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QUIC Weekly - 20210414
QUIC is the Quick UDP Internet Connections protocol, developed by Google and currently in IETF workgroups for further development. It is being considered for replacing TCP as a transport protocol for HTTP/3. We are building an Open source project for IoT & Edge Computing atop QUIC called 🦖YoMo
- YoMo: An open-source Streaming Serverless Framework for Latency-sensitive applications
What are some alternatives?
machine - Machine is a workflow/pipeline library for processing data
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.
go-streams - A lightweight stream processing library for Go
msquic - Cross-platform, C implementation of the IETF QUIC protocol, exposed to C, C++, C# and Rust.
benthos - Fancy stream processing made operationally mundane [Moved to: https://github.com/benthosdev/benthos]
yomo-wasmedge-tensorflow - 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.
vectorsql - VectorSQL is a free analytics DBMS for IoT & Big Data, compatible with ClickHouse.
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.
Benthos - Fancy stream processing made operationally mundane
cli - Command-line tools for YoMo.
watermill - Building event-driven applications the easy way in Go.
h3-protocol-stack - Diagrams visualizing the HTTP/3, HTTP/2 and HTTP/1 protocol stacks and their features