edge-computing

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.

🚀 A fast WebAssembly interpreter and the most universal WASM runtime

Kubernetes Native Edge Computing Framework (project under CNCF)

Tiny and powerful JavaScript full-text search engine for browser and Node

PartyKit simplifies developing multiplayer applications

Nexa SDK is a comprehensive toolkit for supporting GGML and ONNX models. It supports text generation, image generation, vision-language models (VLM), Audio Language Model, auto-speech-recognition (ASR), and text-to-speech (TTS) capabilities.

Event-driven Infrastructure for Modern Cloud

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Extend cloud computing, data and service seamlessly to edge devices.

TinyML AI inference library

zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of time and space efficiency that is well beyond any of the mainstream stacks.

OpenYurt - Extending your native Kubernetes to edge(project under CNCF)

🦖 Stateful Serverless Framework for Geo-distributed Edge AI Infra. with function calling support, write once, run on any model.

A cross-platform runtime for Web developers to build desktop & mobile apps for any OS using any frontend library.

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

Deep learning gateway on Raspberry Pi and other edge devices

Lightweight data stream processing engine for IoT edge

ops - build and run nanos unikernels

Kubernetes-native IoT gateway

A Fetch API-compatible PlanetScale database driver