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Contract-first TypeScript REST APIs with secure defaults, built for AI-assisted teams

DaloyJS ships secure defaults and refuses to start in production on the misconfigurations it knows about. It has zero runtime dependencies and a hardened, provenance-signed publish pipeline. No framework makes an app fully secure or stops every supply-chain attack, so the docs say what is on by default, what you turn on, and the risks that remain.

$ pnpm create daloy@latest my-api
  • 3,000+ framework tests passing
  • ≥90% line/function and ≥92% branch coverage gates
  • 0 runtime dependencies
  • Node 24 LTS, Node 26+, Bun, Deno, Cloudflare
  • MIT licensed
contract flowdefine once -> generate the rest
01contractGET /books/:id + z.object(...)
02validationruntime, both directions
03OpenAPI 3.1live spec + /docs UI
04typed clientpnpm gen -> fetch SDK

Any framework can route a request. DaloyJS is built for what happens next: one route definition drives validation, types, OpenAPI 3.1, and a Hey API typed client, and the guardrails AI-assisted code forgets (body limits, timeouts, prototype-pollution-safe parsing, 5xx redaction) ship already switched on. Rate limits, CORS allowlists, and CSRF are one app.use() line, because those are policy. Set docs: true on the App constructor and DaloyJS auto-mounts a Scalar API reference at /docs and the live OpenAPI 3.1 spec at /openapi.json, the same DX as FastAPI.

ᜇᜎᜓᜌ᜔ Daloy means flow in Tagalog, pronounced da-loy. About, the name

New to backend TypeScript? Start with the bookstore tutorial. Evaluating options for a team? Everything below answers one question: what does DaloyJS have that the others don't?

Why DaloyJS

There are plenty of good ways to route an HTTP request in JavaScript. This is what the others don't give you: secure defaults at the runtime layer, pnpm install-time hardening shipped with create-daloy, and an optional hardened GitHub Actions bundle, so the app-safe pieces of an LLM-era supply-chain defense are on the happy path without giving up OpenAPI ergonomics, runtime portability, typed clients, or Node ops.

Secure runtime defaults

Unlike frameworks that leave basic protections to plugins or manual error routing, the DaloyJS core starts with guardrails on: body limits, request timeouts, prototype-pollution-safe JSON, proper 405 Method Not Allowed responses, and 5xx detail redaction in production. In production it refuses to boot on the misconfigurations it knows about, such as weak session secrets or session cookies without CSRF.

Zero runtime dependencies

Installing @daloyjs/core adds exactly zero transitive packages. No postinstall scripts to audit and no surprise CVEs from dependencies you never chose. The framework adds no dependency tree of its own; your app's other dependencies are still yours to vet.

Supply-chain-hardened scaffolds

Pick pnpm in create-daloy and pnpm-workspace.yaml is already hardened: ignoreScripts blocks install-script payloads (not code that runs on import), a 24-hour minimumReleaseAge waits out freshly published bad versions that get caught in time, and verifyStoreIntegrity keeps installs honest. The optional security bundle adds hardened GitHub Actions, Dependabot, CODEOWNERS, SECURITY.md, lockfile source verification, non-root + tini container templates, and a daloy doctor production-posture validator.

AI-native scaffolding

Every project scaffolded by create-daloy includes an AGENTS.md and context skills, and these docs are readable over MCP. Coding agents that read AGENTS.md pick up your framework's conventions, routing rules, and security primitives without a prompt-engineering ritual.

Contract-first by design

One route definition is the source of truth for validation, types, OpenAPI 3.1, the typed client, and built-in contract tests, so drift has fewer places to hide.

Runtime-portable

The core only sees Request → Response. Adapters live at the edge: Node, Bun, Deno, Cloudflare Workers, Vercel, Fastly Compute, and AWS Lambda - same app, same tests.

Hey API typed clients

Run pnpm gen and get a fully typed fetch SDK, for any consumer, in any TS project, generated from your real spec. Or skip codegen with the in-process typed client.

Streaming & observability

Backpressure-safe SSE and NDJSON helpers, plus an OpenTelemetry tracing hook that emits HTTP server spans with semantic-convention attributes.

Batteries included

Edge-friendly sessions, WebSockets that spend from the same rate-limit buckets as HTTP, structured logs, and graceful shutdown: the production plumbing you usually assemble from plugins, still with zero runtime dependencies.

Hello, contract

One route, types, validation, OpenAPI, and the typed client all generated from it.

ts
import { z } from "zod";
import { App, secureHeaders, rateLimit, requestId } from "@daloyjs/core";
import { serve } from "@daloyjs/core/node";

const app = new App({ bodyLimitBytes: 1 << 20, requestTimeoutMs: 5_000 });

app.use(requestId());
app.use(secureHeaders());
app.use(rateLimit({ windowMs: 60_000, max: 120 })); // per client IP by default; behind a proxy, set behindProxy or keyGenerator

app.get(
  "/books/:id",
  {
    request: { params: z.object({ id: z.string() }) },
    responses: {
      200: { description: "Found", body: z.object({ id: z.string(), title: z.string() }) },
      404: { description: "Not found" },
    },
  },
  async ({ params }) => ({
    status: 200,
    body: { id: params.id, title: `Book ${params.id}` },
  }),
);

serve(app, { port: 3000 });

Scalar API reference, one line

Scalar is the modern successor to Swagger UI: fast, clean, dark-mode-native, with built-in try-it requests. In DaloyJS it is the default docs UI, not a plugin: docs: true on the App constructor auto-mounts this page at /docs and the live OpenAPI 3.1 spec at /openapi.json.

Generated from your route contracts, zero extra code. Prefer Swagger UI or Redoc? Both are one config field away. OpenAPI & docs UI guide →

Competitor strengths, fewer tradeoffs

DaloyJS is not trying to win one checkbox. It is trying to remove the glue work between the best ideas developers already like.

You wantToday's best-ofWhat DaloyJS gives you
Best OpenAPI ergonomicsFastAPIBuilt-in OpenAPI 3.1 from one route definition
Serverless / edge fitHonoWeb-standard core, multi-runtime adapters
Mature Node ops & docsFastifyEncapsulated plugins, structured logs, graceful shutdown
Modern TS-first DX, Bun OKElysiaEnd-to-end typed handlers, typed context, typed client
Best typed client codegenHey APIpnpm gen → fully typed fetch SDK
Portable supply-chain hardening for the apps you buildpnpm defaults + zero-runtime-dep coreHardened pnpm install settings, source-verified lockfiles, SBOM + npm provenance

Benchmarks

The numbers, with the asterisks attached

DaloyJS ships security checks on by default, so a fair comparison has to say so out loud. These charts come straight from the repo's own benchmark suite, and the caveats are part of the chart.

How DaloyJS measures up

Real numbers from the repo's own benchmark suite. Pick a metric, but keep the caveats below in mind, because none of these are a clean apples-to-apples comparison.

Transitive dependencies installed

Every package your install pulls in is attack surface someone has to trust. DaloyJS and Hono are the only two that bring zero.

What this means for you: Fewer packages to trust means fewer CVEs and no surprise postinstall scripts. Zero dependencies is zero supply-chain doors left open for an attacker.

Takeaway: DaloyJS installs 0 transitive dependencies, tied with Hono for the smallest supply-chain surface, while a secure NestJS app drags in 86.

Apple M3 Max · 16 cores · Node v26.4.0 · October 2026 · @daloyjs/core 1.5.4 · source in bench/cross-framework

Why this is apples to oranges

These frameworks are not the same tool, so a head-to-head chart is closer to apples vs oranges than a fair race. Here is what these numbers do and don't prove, in plain terms.
  • Apples vs oranges, not apples to apples. These are different tools doing different amounts of work. On every request, DaloyJS validates the body against your Zod or Valibot schema and runs secure headers, a request ID, body-size limits, and request timeouts, all out of the box. The 'minimal' apps for the other frameworks do almost none of this, and even 'secure parity' rarely matches it one for one. So part of every DaloyJS number is security and validation you would otherwise have to build yourself.
  • Footprint methodology differs: DaloyJS is one zero-dependency package, while the others resolve transitive trees whose exact size depends on when the lockfile was generated.
  • Throughput is workload-shaped: with a comparable middleware stack on both sides, DaloyJS comes out ~27% ahead of Hono on these GET routes and ~58% ahead on the POST body route — and DaloyJS is additionally Zod-validating that body. Real services are usually bound by database and I/O time, not framework dispatch, so these micro-numbers rarely predict production.
  • Different target runtimes: some frameworks (e.g. Elysia) are tuned for Bun but are measured here under their Node adapters for a fair single-runtime baseline.
  • Single machine, single moment: one Apple M3 Max, Node v26.4.0, October 2026, against @daloyjs/core 1.5.4, with other background load on the machine (the two frameworks were measured back to back, so the comparison holds better than the absolute numbers). Your hardware, runtime, and versions will move these numbers.

Support the project

If DaloyJS saves you time, you can buy me a coffee

DaloyJS is free and MIT-licensed. If the docs, posts, or the framework itself helped you ship something with a little less drama, coffee is a perfectly reasonable way to keep the work going.

Ready to ship with secure defaults?

Scaffold a project in seconds with install hardening for your package manager, generated CI that blocks install scripts, pinned GitHub Actions, Dependabot, CODEOWNERS, and lockfile source verification. Then keep the contract as the app grows, the same app runs on Node, Bun, Deno, and Cloudflare Workers.

For developers and AI agents

DaloyJS is MCP-ready

The Model Context Protocol (MCP) is the open standard AI agents like Claude, Cursor, and VS Code use to call tools and read docs. DaloyJS supports it on both ends: your app can become an MCP server, and these docs already are one.

Turn your API into an MCP server

DaloyJS builds MCP servers from @daloyjs/core alone, no SDK required: Streamable HTTP transport, input-schema validation, and a production boot guard that refuses to start when an MCP endpoint has no auth hook in its chain. It checks that the hook is there and, in production, that it ran on each request, not that it rejects anyone, so test your auth too.

Build an MCP server →
ts
import { App, bearerAuth, createMcpHandler, mcpRoutes } from "@daloyjs/core";

const mcp = createMcpHandler({
  serverInfo: { name: "inventory-mcp", version: "1.0.0" },
  tools: [/* your tools, with validated input schemas */],
});

const app = new App();
app.use(bearerAuth({ validate: checkToken })); // no auth hook: production refuses to boot
for (const route of mcpRoutes("/mcp", mcp)) {
  app.route(route); // your API is now an MCP server too
}

Read these docs over MCP

A public, read-only endpoint your AI coding agent can search and read without copy and paste. No API key needed.

Endpoint

Point any MCP-compatible client at this URL:
https://daloyjs.dev/mcp
  • search_docsKeyword search across every docs page, ranked by relevance.
  • get_docRead the full text of one page by its route or slug.
  • list_docsBrowse every available documentation page in one call.

Add it to your MCP client config

json
{
  "mcpServers": {
    "daloyjs-docs": {
      "url": "https://daloyjs.dev/mcp"
    }
  }
}

Using a stdio-only client? Bridge it with npx -y mcp-remote https://daloyjs.dev/mcp.