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Polly is a .NET resilience and transient-fault-handling library that allows developers to express policies such as Retry, Circuit Breaker, Timeout, Bulkhead Isolation, and Fallback in a fluent and thread-safe manner. From version 6.0.1, Polly targets .NET Standard 1.1 and 2.0+.

  • circuit-breaker
  • circuit-breaker-pattern
  • resilience
  • resiliency-patterns

A fast, powerful, safe and lightweight scripting language and engine for .NET

  • templating
  • templating-language
  • templating-engine
  • handlebars

:boom: EasyCaching is an open source caching library that contains basic usages and some advanced usages of caching which can help us to handle caching more easier!

bUnit is a testing library for Blazor components that make tests look, feel, and runs like regular unit tests. bUnit makes it easy to render and control a component under test’s life-cycle, pass parameter and inject services into it, trigger event handlers, and verify the rendered markup from the component using a built-in semantic HTML comparer.

This repository contains Hands on Test Driven Development Katas (C#)

  • tdd-kata
  • csharp8
  • netframework
  • dotnet-core2

Trady is a handy library for computing technical indicators, and it targets to be an automated trading system that provides stock data feeding, indicator computing, strategy building and automatic trading. It is built based on .NET Standard 2.0.

  • strategy
  • technical
  • analysis
  • stock

An opinionated HTTP library for .NET applications built on HttpClient message handlers. Provides request de-duplication, prioritised concurrency limiting, speculative background fetching and optional response caching.

DDD+CQRS+Event-sourcing examples using EventFlow following CQRS-ES architecture. It is configured with RabbitMQ, MongoDB(Snapshot store), PostgreSQL(Read store), EventStore(GES). It's targeted to .Net Core 2.2 and include docker compose file.

  • eventflow
  • cqrs
  • cqrs-es-architecture
  • ges

Build real-time Blazor and MAUI apps while writing just 0.1% of the usual real-time update code. Handle 10× more API requests with the ActualLab.Rpc protocol—or 1000× more with Fusion’s transparent and perfectly coherent caching.