Express and Hono are both minimalist web frameworks for building backend applications, but they target fundamentally different deployment environments. Express, launched in 2010, is the established standard for Node.js web servers with a massive ecosystem of middleware and proven patterns for traditional server deployments. Hono is a modern, TypeScript-first framework optimized for edge computing, serverless functions, and cloud-native applications where bundle size and cold start performance are critical.
This comparison matters because the shift toward edge computing and serverless architectures is changing framework requirements. Developers building traditional Node.js APIs need to understand Express's proven reliability and extensive ecosystem, while those targeting Cloudflare Workers, Vercel Edge Functions, or AWS Lambda need to evaluate Hono's optimizations for these environments. The choice significantly impacts development experience, deployment costs, and application performance.
Choose Hono for new projects targeting edge computing, serverless functions, or any environment where cold start performance matters. Its TypeScript-first design, smaller bundle size, and multi-runtime support make it the clear winner for modern cloud-native architectures on Cloudflare Workers, Vercel Edge, or similar platforms. The performance improvements in edge environments justify learning a newer framework, and the TypeScript integration prevents entire classes of bugs.
Choose Express for traditional Node.js applications, REST APIs running on persistent servers, or projects where ecosystem maturity outweighs raw performance. If your team needs extensive third-party middleware, values proven patterns with extensive documentation, or maintains existing Express applications, staying with Express makes practical sense. The performance difference in traditional deployments is marginal compared to database queries and external API calls. Express remains the safer choice for teams prioritizing stability and conventional MVC architecture over cutting-edge deployment targets.