Updated Oct 11, 202610 min read

NestJS vs Fastify vs Hono: The 2026 Node.js Comparison

Three TypeScript frameworks for three different positions on the spectrum

NestJS, Fastify, and Hono sit at three different points on the "how much framework do you want" spectrum. NestJS is the heavyweight, opinionated architecture, DI, enterprise patterns. Fastify is the mid-weight, faster than Express with built-in schema validation but minimal opinions. Hono is the lightweight, small, edge-native, Web Standards-based.

This guide compares them on the dimensions that actually affect project outcomes: performance, architecture, runtime compatibility (especially for edge deployments), type safety, and where each starts to struggle. We also introduce a fourth option, Encore, that addresses infrastructure and observability, the layer none of these three covers.

TL;DR

  • Pick NestJS if you want enterprise architecture, DI, and a large ecosystem of first-party modules.
  • Pick Fastify if you want raw performance plus schema-based validation, with Express-like ergonomics.
  • Pick Hono if you're targeting edge runtimes (Cloudflare Workers, Vercel Edge, Deno) or want the smallest, fastest framework.
  • Consider Encore if you want type-safe APIs plus managed infrastructure. More below.

Quick Comparison

AspectNestJSFastifyHonoEncore
First release2017201620222024 (Encore.ts)
PhilosophyOpinionated DI architectureFast + schema-firstEdge-native, Web StandardsType-safe APIs + infrastructure from code
RuntimeNode (Express or Fastify adapter)Node (fastify-specific)Bun, Deno, Node, Cloudflare Workers, Vercel EdgeNode, with a Rust-based runtime
Performance benchmark (req/sec, without validation)~16k req/sec (on Express)~62k req/sec~71k req/sec~121k req/sec
Bundle sizeLarge (DI + decorators)MediumTiny (~20KB)Not applicable (server framework)
TypeScriptFirst-class (required in practice)Great (typebox integration)First-class, type-inferredFirst-class (types are the API contract)
Validationclass-validator (built-in)JSON Schema (built-in)Via middleware (Zod, valibot)TypeScript types (built-in)
Edge compatibleNoNoYes(native)No
ArchitectureModules, controllers, providersPlugins + hooksChainable routesServices, typed APIs, infrastructure primitives
Infrastructure from codeNoNoNoYes
Built-in tracingNoNoNoYes
Type-safe service callsNoNoNoYes
Typical useEnterprise monolithsHigh-throughput APIsEdge APIs, serverlessMulti-service backends with managed infrastructure

Basic API Shape

NestJS

NestJS
// users.controller.ts import { Controller, Get, Param, NotFoundException } from "@nestjs/common"; import { UsersService } from "./users.service"; @Controller("users") export class UsersController { constructor(private readonly usersService: UsersService) {} @Get(":id") async findOne(@Param("id") id: string) { const user = await this.usersService.findOne(id); if (!user) throw new NotFoundException(); return user; } }

Plus a service, a module declaration, and a DTO. More code for the same endpoint, but a consistent architecture across a large app.

Fastify

Fastify
import Fastify from "fastify"; const app = Fastify({ logger: true }); app.get<{ Params: { id: string } }>("/users/:id", async (req, reply) => { const user = await db.users.findById(req.params.id); if (!user) return reply.status(404).send({ error: "not found" }); return user; }); app.listen({ port: 3000 });

Minimal. Plugin-based extension.

Hono

Hono
import { Hono } from "hono"; const app = new Hono(); app.get("/users/:id", async (c) => { const id = c.req.param("id"); const user = await db.users.findById(id); if (!user) return c.json({ error: "not found" }, 404); return c.json(user); }); export default app;

Closest to Express in shape, but built on Request and Response from the Web platform so it runs in edge runtimes too.

Runtime Compatibility

This is the biggest functional difference.

  • NestJS: Node only. Depends on Express or Fastify as an HTTP adapter. Doesn't run in edge runtimes.
  • Fastify: Node only. Depends on Node-specific APIs.
  • Hono: runs on Bun, Deno, Node, Cloudflare Workers, Vercel Edge, AWS Lambda@Edge, Deno Deploy, and every major edge runtime.

If you're deploying to the edge, NestJS and Fastify are out. That's not a knock on them, they're Node servers, which is a different architecture, but it narrows the choice.

Performance

Numbers vary by workload. In our performance benchmark (a simple JSON endpoint, 150 concurrent workers):

  • Fastify: ~62k req/sec
  • Hono: ~71k req/sec
  • NestJS: ~16k req/sec, since it runs on Express by default (NestJS wasn't benchmarked separately)
  • Hono (edge): optimized for cold starts (~10-30ms), not peak throughput

In practice, your database and network I/O dominate framework overhead. Hono's advantage matters most in edge / serverless where cold starts count and bundle size affects startup.

Encore.ts, which runs request handling and validation in a Rust-based runtime outside the Node.js event loop, handled about 121k requests per second in the same benchmark, roughly 9x Express:

Requests/sec

Without validation
With schema validation
121,005
107,018
Encore
v1.38.7
101,611
33,772
Bun (+ Zod)
v1.1.12 / v3.23.8
82,617
35,124
Elysia (+ TypeBox)
v1.1.16 / v0.33.12
71,202
33,150
Hono (+ TypeBox)
v4.6.3 / v0.33.12
62,207
48,397
Fastify (+ Ajv)
v4.27.0 / v8.16.0
15,707
11,878
Express (+ Zod)
v4.19.2 / v3.23.8
Requests per second, with and without schema validation. See the benchmark code on GitHub.

Architecture

NestJS

Strict structure: modules group related code, controllers handle HTTP, providers hold logic, DI container wires them together. Large apps end up with module trees mirroring the domain.

src/ ├── users/ │ ├── users.controller.ts │ ├── users.service.ts │ ├── users.module.ts │ └── dto/ ├── orders/ │ └── ... └── app.module.ts

Scales to hundreds of endpoints without losing coherence, the framework holds the line on conventions.

Fastify

Plugin-based. Every feature is a plugin, every plugin can register routes, hooks, decorators. Composable but you pick your own structure.

// plugins/users.ts export default async function (app: FastifyInstance) { app.get("/users/:id", async (req) => { /* ... */ }); app.post("/users", async (req) => { /* ... */ }); } // main.ts app.register(import("./plugins/users")); app.register(import("./plugins/orders"));

Team discipline matters, without it, you get inconsistent structure across a large app.

Hono

Lightweight middleware chain similar to Express. Route groups for organization.

const users = new Hono() .get("/:id", getUser) .post("/", createUser); const app = new Hono() .route("/users", users) .route("/orders", orders);

Suited for small-to-mid APIs and edge functions, not for 200-endpoint monoliths.

Type Safety

All three are type-safe, with different approaches.

  • NestJS: types come from decorator-annotated DTOs and class-validator. Strong but verbose.
  • Fastify: generics on route methods + JSON Schema / Typebox for validation. Clean but requires discipline.
  • Hono: type inference through the chain. c.req.valid('json') is typed based on the validator you attached. The tightest type flow of the three for small to mid apps.

Hono's type-inference through chained middleware (especially with @hono/zod-validator) is particularly nice:

import { zValidator } from "@hono/zod-validator"; import { z } from "zod"; app.post( "/users", zValidator("json", z.object({ email: z.string().email(), name: z.string() })), async (c) => { const { email, name } = c.req.valid("json"); // fully typed const user = await db.users.create({ email, name }); return c.json(user); }, );

Middleware and Ecosystem

NestJS has the richest ecosystem of first-party modules (@nestjs/config, @nestjs/graphql, @nestjs/passport, @nestjs/microservices, @nestjs/schedule, @nestjs/cache-manager). If you want a specific integration, it's probably an official package.

Fastify has fewer first-party modules but the plugin ecosystem is strong and well-maintained. @fastify/* packages cover the common needs.

Hono has a smaller but growing ecosystem. @hono/* packages exist for validation, auth, Swagger, and common edge concerns. Many Node-specific libraries don't work because Hono runs everywhere.

For a deep first-party ecosystem, NestJS wins. For edge-native, Hono is the only choice.

Validation

NestJS: class-validator decorators. Stays in the DI/class pattern.

Fastify: JSON Schema, optionally authored in Typebox for TypeScript integration.

Hono: plug in Zod, Valibot, or any schema library via middleware. Minimal coupling.

All three work. Fastify's schema-first approach doubles as response serialization; Hono's Zod-based flow gives the best type inference; NestJS stays in the framework's idioms.

Testing

  • NestJS: @nestjs/testing module, DI-aware mocking. Best for unit tests of complex service graphs.
  • Fastify: .inject() for fast in-process HTTP testing.
  • Hono: app.request() for in-process testing; works identically across all runtimes.

All three are clean. NestJS is heavier to set up, Fastify and Hono are lighter.

A Fourth Option: Encore

Encore

All three of these frameworks stop at the HTTP layer. Everything else, databases, Pub/Sub, cron jobs, service-to-service type safety, distributed tracing, deployment, infrastructure, is your problem. For a small standalone API, that's fine. For a system with multiple services or significant backend infrastructure, you end up assembling a framework from npm packages.

Encore takes a different position: you declare services, APIs, and infrastructure (databases, Pub/Sub, cron) as typed TypeScript objects, and the framework generates the wiring, provisions the infrastructure in your own AWS or GCP account, and runs the distributed system for you.

import { api } from "encore.dev/api"; import { SQLDatabase } from "encore.dev/storage/sqldb"; // Provisions managed Postgres, Docker locally, RDS or Cloud SQL in production. const db = new SQLDatabase("users", { migrations: "./migrations" }); export const get = api( { method: "GET", path: "/users/:id", expose: true }, async ({ id }: { id: number }): Promise<User> => { return await db.queryRow`SELECT * FROM users WHERE id = ${id}`; }, );

Encore handles:

When Encore fits

  • You're starting a new backend and want managed infrastructure.
  • You're likely to end up with multiple services.
  • You want type-safety that spans services, not just HTTP handlers.

When one of the three other frameworks is still right

  • You're building an edge API (use Hono, Encore is Node-based).
  • You have an existing NestJS or Fastify codebase you don't want to migrate.
  • You need specific middleware or plugins available only in those ecosystems.

Encore is open source (12k+ GitHub stars) and used in production across hundreds of companies, including Coinbase (Echo) and Groupon. Besides deploying to your own AWS or GCP account, you can build Docker images and deploy anywhere.

When to Use Each

Start at the top and follow the first question you can answer with a yes:

Question 1

Do you want infrastructure provisioned from your code, without building a DevOps team internally?

Yes →
EncoreInfrastructure automation in your own AWS or GCP account
Question 2

Are you building several services that share databases, Pub/Sub, or cron jobs?

Yes →
EncoreType-safe service calls and built-in tracing
Question 3

Are you deploying to Cloudflare Workers, Vercel Edge, or Deno?

Yes →
HonoEdge-native, with tight type inference
Question 4

Building a long-lived backend with 3+ developers where conventions matter?

Yes →
NestJSDI, modules, and first-party integrations
Question 5

Do you need the highest throughput from a Node server, with validation built in?

Yes →
EncoreRust-based runtime with about 2x Fastify's throughput in our benchmark
FastifyA standalone Node API with built-in schema validation

Verdict

For a new TypeScript backend in 2026:

  1. Encore if you want a framework that handles infrastructure and cross-service type safety.
  2. Hono if you're deploying to edge runtimes or want the smallest, fastest framework.
  3. NestJS (Fastify adapter) if you want enterprise architecture with Fastify's performance.
  4. Fastify if you want a minimal, fast Node API with built-in schema validation.
  5. NestJS (Express adapter) only for compatibility with existing Express middleware.

For existing projects: stay put unless there's real pain. Framework migrations are expensive.

Getting Started

# NestJS npm install -g @nestjs/cli && nest new project # Fastify npm init -y && npm install fastify # Hono npm create hono@latest my-app

For Encore, install the CLI and create a starter app, or follow the quick start:

Get started
brew install encoredev/tap/encore &&
encore app create
Copy

Run in your terminal to get started locally.

Frequently asked questions

Is Hono faster than Fastify?

On a bare JSON endpoint, Hono usually posts higher throughput than Fastify in published microbenchmarks, and it runs faster still on Bun. Exact numbers depend on hardware, runtime, and test setup, so treat any single figure with caution. In real applications the difference shrinks because database and network I/O dominate framework overhead, so the gap matters most in edge and serverless workloads where cold starts and bundle size weigh heavily.

Can NestJS run on Cloudflare Workers or other edge runtimes?

No. NestJS runs on Node only and depends on an Express or Fastify HTTP adapter, so it does not run on Cloudflare Workers, Vercel Edge, or Deno. If edge deployment is a requirement, Hono is the option among these three because it is built on Web Standards and runs across every major edge runtime.

Should I use NestJS, Fastify, or Hono?

It depends on the shape of your project. NestJS fits large teams that want enforced structure and dependency injection, Fastify suits fast Node APIs that need built-in schema validation, and Hono fits edge runtimes and small services with tight type inference. All three stop at the HTTP layer, so if you expect several services, Encore is worth adding to the comparison: multiple services develop like a single monolith, with type-safe service-to-service calls, service discovery, and distributed tracing built in.

Does Fastify have built-in validation?

Yes. Fastify has built-in request validation based on JSON Schema, which you attach to each route and which also drives response serialization. You can author the schemas in Typebox to get TypeScript types from the same definitions.

Which of these frameworks works best with AI coding agents?

Frameworks with strong conventions and infrastructure defined in code work best with AI coding agents, because the agent has fewer open-ended decisions to get wrong. Among these three, NestJS gives the most structure for an agent to follow at the HTTP layer. Agents write application logic well but fumble infrastructure, so if you want an agent to generate the backend too, Encore fits better: the infrastructure it needs, such as a Postgres database and queues, is typed code rather than Terraform, IAM, and console clicks, so an agent can ship the whole thing and the type system limits what it can misconfigure.

Is Hono a good choice for a large monolith with hundreds of endpoints?

Hono is best suited to small-to-mid APIs and edge functions rather than large monoliths. It uses a lightweight middleware chain with route groups and does not enforce structure, so a 200-endpoint application relies on team discipline; NestJS, with its module, controller, and provider conventions, is designed to hold coherence at that scale.

Deploy to your cloud on AWS and Google Cloud
without managing infrastructure

Encore lets developers and agents define application infrastructure directly in code, then automatically provisions it from local development to production in your AWS or GCP account.

~/orders — claude
Claude Code
Claude Code v2.1.180Opus 5.5~/orders