aws

AWS SDK for Rust

AI system design guide for engineers building production AI systems and evals.

Mongoose OS - an IoT Firmware Development Framework. Supported microcontrollers: ESP32, ESP8266, CC3220, CC3200, STM32F4, STM32L4, STM32F7. Amazon AWS IoT, Microsoft Azure, Google IoT Core integrated. Code in C or JavaScript.

Ruby on Jets

The Orchestration Engine To Deliver Self-Service Infrastructure ⚡️

Full-stack .Net 10 Clean Architecture (Microservices, Modular Monolith, Monolith), Blazor, Angular 22, React 19, Vue 3.5, BFF with YARP, NextJs 16, Domain-Driven Design, CQRS, SOLID, Asp.Net Core Identity Custom Storage, OpenID Connect, EF Core, OpenTelemetry, SignalR, Background Services, Health Checks, Rate Limiting, Clouds (Azure, AWS, GCP), ...

A library for training and deploying machine learning models on Amazon SageMaker

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

👻 Proxy API gateway for Kiro IDE & CLI (Amazon Q Developer / AWS CodeWhisperer). Use free Claude models with any client.

Pluggable foundation blocks for building distributed apps.

为独立开发者准备的精选技术栈和工具仓库来了！这里有你最需要的工具，帮你提升开发效率、节约成本，最重要的是——这些工具都是市场上热门的，经过验证的。🚀A curated collection of tech stacks and tools tailored for independent developers is here! these are proven, popular tools widely used in the industry. 🚀

✨ AI-powered markdown editor - leverage LLMs with your documents - 100% local or in the cloud

First AI Journey for DevOps - with comprehensive learning paths, practical tips, and enterprise guidelines

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

ManageIQ Open-Source Management Platform

Application implementation with business use cases for safely utilizing generative AI in business operations

A declarative library with an easy-to-use interface for building Flutter applications on AWS.

AWS-native chatbot using Bedrock

Linting tool for CloudFormation templates

This is a project that unifies the management of LLM APIs. It can call multiple backend services through a unified API interface, convert them to the OpenAI format uniformly, and support load balancing. Currently supported backend services include: OpenAI, Anthropic, DeepBricks, OpenRouter, Gemini, Vertex, etc.