Alternatives
Products that do what Ducklang: Achieving 100x more requests per second than NextJS does
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…
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2018 · github.com
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2018 · npmjs.com
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2019 · github.com
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2013 · github.com
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2014 · tyk.io
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2020 · crates.io
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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…
2025 · github.com
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2021 · planettypescript.com
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2021 · aussieplusplus.vercel.app
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2020 · github.com
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2018 · github.com
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I've just released rust-loguru, a logging library for Rust that aims to combine intuitive API design (inspired by Go/Python's Loguru) with Rust's performance characteristics. Some highlights: - Consistently outperforms the standard log crate by 50-80% in benchmarks. - Multiple log levels and an extensible handler system -File rotation with better performance than log4rs and other alternatives - Error handling utilities and context helpers I built this because I wanted a logger that was both ergonomic to use and high-performance. The benchmarks comparing it to slog, log, and tracing are…
2025 · crates.io
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We’ve built SQLRooms, an open-source framework for creating single-node data analytics apps powered by DuckDB. It lets you build fully client-side, data-centric apps using React and DuckDB running in the browser (via WebAssembly) or in Electron. No server or backend is required — apps can work offline, preserve data privacy, and run queries on large datasets with sub-second performance. Features: - Query large datasets in browser with DuckDB (WASM) - Modular design for building composable data UIs (query editors, dashboards, notebooks, etc.) - Data privacy-preserving AI assistant that can…
2025 · sqlrooms.org
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2018 · github.com
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2025 · github.com
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2024 · david-delassus.medium.com
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Hi, over the past few months I've been working on this project: Numax is a small Rust runtime that does three things: it runs WebAssembly modules in a sandbox, has a built-in local key-value store, and syncs everything across nodes with CRDTs and gossip. Basically, you write a wasm module, run it on two machines, and they converge (I hope !). It's a decentralized system... I hope someone finds it interesting! There's a whitepaper I've put a lot into, and I think the code isn't bad either! I believe there's still room in this world for software that's fun and well made, and while building…
Jun 2026 · github.com
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I’ve been working on shuck, a shell script linter written in Rust. ShellCheck is excellent project and set the bar for this space. However, it's very slow and take up a far amount of resources. shuck is conservatively 20x faster than shellcheck and uses a fraction of the resources. shuck currently supports sh, bash, dash, ksh, mksh, and zsh. shuck should mostly be a drop in replacement for shellcheck but it is not a port since shellcheck is GPL. It is s clean-room implementation with its own parser and analysis engine, so behavior may differ in some cases. shuck is tested against shellcheck…
Apr 2026 · github.com
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2020 · quicklang.net
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I’ve been experimenting with building a Node.js HTTP framework using Rust + Hyper with N-Api. The project started as a fully synchronous server, but I recently patched it to support async (Tokio/Hyper). That change alone nearly doubled throughput in benchmarks. What’s different: * Built directly on Hyper, no heavy abstraction * napi glue for Node.js bindings * Minimal core (sync and async engines side-by-side) * Focused on raw performance, not plugins (yet) This is still experimental and not production-ready. I’d like feedback on: * Async API design — does it feel ergonomic? *…
2025
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Apr 2026 · github.com
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