Ducklang: Achieving 100x more requests per second than NextJS
Duck (https://duck-lang.dev) is a statically typed, compiled programming language that combines the best of Rust, TypeScript and Go, aiming to provide an alternative for full-stack-development while being as familiar as possible Improvements over Rust: - garbage collection simplifies developing network applications - no lifetimes - built-in concurrency runtime and apis for web development Improvements over bun/node/typescript: - massive performance gains due to Go's support for parallel execution and native code generation - easier deployment since Duck compiles to a…
What it does
In the maker’s words, at launch
Duck (https://duck-lang.dev) is a statically typed, compiled programming language that combines the best of Rust, TypeScript and Go, aiming to provide an alternative for full-stack-development while being as familiar as possible Improvements over Rust: - garbage collection simplifies developing network applications - no lifetimes - built-in concurrency runtime and apis for web development Improvements over bun/node/typescript: - massive performance gains due to Go's support for parallel execution and native code generation - easier deployment since Duck compiles to a statically linked native executable that doesn't need dependencies - reduced complexity and costs since a single duck deployment massively outscales anything that runs javascript - streamlined toolchain management using duckup (compiler version manager) and dargo (build tool) Improvements over Go: - a more expresive type system supporting Union types, Duck typing and tighter control over mutability - Server Side Rendering with a jsx-like syntax as well as preact components for frontend development - better error handling based on union types - a rust based reimplementation of tailwind that is directly integrated with the language (but optional to use) - type-safe json apis
Does the same job
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Hello, everyone. Three months ago, I started building my first GoLang package, VarMQ. In this short period, I gained a significant amount of traction from the community, and it resulted in over 140 stars on GitHub. A week ago, to check how it performs, I ran benchmarks with a similar package, Pond, which has been managed for years. Pond is not a message queue, though; however, it can be compared to VarmQ since it shares some similarities, except for its storage system. From the benchmarks, I got surprising results, which are that Varmq is taking 50%+ less memory than Pond and also has good…
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