aspire

A community project with additional components and extensions for .NET Aspire

C#/.NET Binding for FoundationDB Client API

CleanAspire is a cloud-native template powered by Aspire for cloud environments with scalability and offline support. Using .NET 9 Minimal APIs and Blazor WebAssembly, it provides a lightweight, fast foundation for building Progressive Web Applications (PWA) optimized for the cloud.

NarForum is a simple and flexible forum software built with .NET 8 and Blazor.

🪦 The virtual graveyard for remembering those killed by Microsoft

ASP.NET Core 9.0, .NET Aspire, React, Nextjs, K8S, ELK stack, SonarQube

OpenTelemetry and Grafana stack with Docker Compose or Aspire

.NET Aspire Plugin for JetBrains Rider

Explore project dependencies in .NET

A creative writing multi-agent solution to help users write articles using Aspire and Semantic Kernel

Let's deploy Aspire-flavoured apps to a Kubernetes cluster, through Aspir8! Are you new to Kubernetes? Don't worry. Let's start from scratch.

FairPlayCombined is a platform designed to accelerate app development using .NET, Blazor, and more. It includes real-world templates like video sharing and dating apps, reducing costs and time-to-market. Perfect for developers, startups, and businesses, it empowers innovation and delivers value with pre-built tools and resources.

Sample MCP Server and MCP client with Aspire

Samples on how to use SQL Server and Azure SQL with .NET Aspire

eShopLite - Semantic Search is a reference .NET application implementing an eCommerce site with Search features using Keyword Search and Semantic Search.

ASP.NET Core OpenID Connect OAuth PAR client with Keycloak using .NET Aspire

A standalone .NET Aspire Resource Server implementation

A simple but resilient, observable and cloud ready distributed HR system built with .NET Aspire

Typical RAG implementation using Semantic Kernel, Semantic Memory and Aspire

TrafficJamAnalyzer is an advanced tool designed to help monitor and analyze traffic conditions by processing images from CCTV cameras around the roads of Tenerife. By utilizing artificial intelligence (AI) with Semantic Kernel and OpenAI, the application accurately assesses traffic density and identifies locations with potential traffic jams.