schemocker
v1.0.1
Published
Turn JSON schemas into live mock REST APIs in seconds for frontend/dev/test teams
Maintainers
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Schemock
Build React/Next/Vue UIs before your backend exists — turn a JSON schema into a live API in under 60 seconds.
Stop waiting on backend teams or hardcoding mock data. Schemock generates realistic, production-ready REST APIs from JSON schemas in seconds — perfect for frontend developers building React, Next.js, Vue, or any modern web application.
🎯 What Is Schemock?
Copy a schema, run one command, and instantly start building your UI:
// user-schema.json
{
"type": "object",
"properties": {
"id": { "type": "string", "format": "uuid" },
"name": { "type": "string" },
"email": { "type": "string", "format": "email" }
}
}schemock start user-schema.json
# → http://localhost:3000/api/data returns realistic user data// React/Vue/Next.js - just fetch!
fetch('http://localhost:3000/api/data')
.then(res => res.json())
.then(data => setUser(data));That's it. No backend required. No hardcoded JSON. No waiting.
🎯 Frontend Quick Start
Get your React, Next.js, or Vue app connected to a mock API in 5 minutes — no backend required.
⚛️ Using Schemock with React (Vite/CRA)
Step 1: Install Schemock
# macOS/Linux
curl -fsSL https://raw.githubusercontent.com/toxzak-svg/schemock-app/main/install.sh | bash
# Windows (PowerShell)
iwr https://raw.githubusercontent.com/toxzak-svg/schemock-app/main/install.ps1 | iexStep 2: Start Schemock
schemock start examples/auth-user-profile.json --port 3001Step 3: Fetch in React
// src/App.jsx
import { useState, useEffect } from 'react';
function App() {
const [user, setUser] = useState(null);
useEffect(() => {
fetch('http://localhost:3001/api/data')
.then(res => res.json())
.then(data => setUser(data));
}, []);
if (!user) return <div>Loading...</div>;
return (
<div>
<h1>Welcome, {user.fullName}!</h1>
<p>Email: {user.email}</p>
<p>Bio: {user.bio}</p>
</div>
);
}
export default App;That's it! Your React app is now consuming a realistic mock API.
🚀 Using Schemock with Next.js App Router
Step 1: Start Schemock
schemock start examples/product-list.json --port 3001Step 2: Fetch in Next.js Server Component
// app/products/page.jsx
async function getProducts() {
const res = await fetch('http://localhost:3001/api/data', {
cache: 'no-store' // Disable caching for development
});
return res.json();
}
export default async function ProductsPage() {
const data = await getProducts();
return (
<div>
<h1>Products</h1>
{data.products.map(product => (
<div key={product.id}>
<h2>{product.name}</h2>
<p>${product.price}</p>
<p>Rating: {product.rating} / 5</p>
</div>
))}
</div>
);
}Step 3: Or use a Client Component
// app/products/page.jsx
'use client';
import { useState, useEffect } from 'react';
export default function ProductsPage() {
const [data, setData] = useState(null);
useEffect(() => {
fetch('http://localhost:3001/api/data')
.then(res => res.json())
.then(data => setData(data));
}, []);
if (!data) return <div>Loading...</div>;
return (
<div>
<h1>Products ({data.pagination.total} total)</h1>
{data.products.map(product => (
<div key={product.id}>
<h2>{product.name}</h2>
<p>${product.price}</p>
</div>
))}
</div>
);
}💚 Using Schemock with Vue
Step 1: Start Schemock
schemock start examples/dashboard-cards.json --port 3001Step 2: Fetch in Vue 3 (Composition API)
<!-- src/App.vue -->
<script setup>
import { ref, onMounted } from 'vue';
const dashboard = ref(null);
onMounted(async () => {
const response = await fetch('http://localhost:3001/api/data');
dashboard.value = await response.json();
});
</script>
<template>
<div v-if="dashboard">
<h1>Dashboard Overview</h1>
<div class="cards">
<div v-for="card in dashboard.cards" :key="card.id" class="card">
<h3>{{ card.title }}</h3>
<p>{{ card.value }}</p>
<span :class="card.changeType">
{{ card.change > 0 ? '+' : '' }}{{ card.change }}%
</span>
</div>
</div>
</div>
<div v-else>
Loading dashboard...
</div>
</template>
<style scoped>
.cards {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
gap: 1rem;
}
.card {
padding: 1rem;
border: 1px solid #ccc;
border-radius: 8px;
}
.increase { color: green; }
.decrease { color: red; }
.neutral { color: gray; }
</style>📦 Ready-Made Schemas for Common Use Cases
Don't want to write schemas from scratch? Use these ready-to-run examples:
| Use Case | Schema | Command | Port |
|----------|--------|---------|------|
| User Profile / Auth | auth-user-profile.json | schemock start examples/auth-user-profile.json --port 3001 | 3001 |
| Product Catalog | product-list.json | schemock start examples/product-list.json --port 3002 | 3002 |
| Shopping Cart | cart.json | schemock start examples/cart.json --port 3003 | 3003 |
| Admin Dashboard | dashboard-cards.json | schemock start examples/dashboard-cards.json --port 3004 | 3004 |
| Social Feed | activity-feed.json | schemock start examples/activity-feed.json --port 3005 | 3005 |
All schemas include realistic data, proper types, and are ready for production use.
🚀 Quick Start (3 Simple Commands)
# 1. Install Schemock
curl -fsSL https://raw.githubusercontent.com/toxzak-svg/schemock-app/main/install.sh | bash
# Windows: iwr https://raw.githubusercontent.com/toxzak-svg/schemock-app/main/install.ps1 | iex
# 2. Start a mock server with an example schema
schemock start examples/simple-user.json
# 3. Test the endpoint in your browser
open http://localhost:3000/api/dataThat's it! You now have a working REST API with realistic mock data.
✨ Why Choose Schemock?
- ⚡ Instant APIs — From schema to working endpoint in 60 seconds
- 🚫 Zero Dependencies — Download and run. No Node.js, npm, or complex installations
- 📊 Realistic Data — Auto-generates UUIDs, emails, timestamps, and proper data formats
- 🔄 Hot Reload — Watch mode auto-reloads when you change schemas
- 🌐 Frontend Ready — CORS enabled by default, perfect for React, Vue, Angular development
- 🎯 Standards Based — Uses JSON Schema specification (Draft 7)
🆚 Schemock vs. Alternatives
| Feature | Schemock | Mockoon | MockAPI | Mockaroo |
|---------|-------------|---------|---------|----------|
| Install Friction | ✅ Single binary | ❌ Desktop app | ❌ Hosted SaaS | ❌ Hosted SaaS |
| JSON Schema First-Class | ✅ Primary input | ⚠️ Partial | ❌ No | ❌ No |
| CLI Friendly | ✅ Full CLI | ❌ GUI only | ❌ Web only | ❌ Web only |
| Works Offline | ✅ Yes | ✅ Yes | ❌ No | ❌ No |
| Watch Mode | ✅ Auto-reload | ✅ Yes | ❌ No | ❌ No |
| CORS Ready | ✅ Built-in | ✅ Yes | ✅ Yes | ✅ Yes |
| Health Check | ✅ /health | ❌ No | ❌ No | ❌ No |
| Setup Time | < 60 seconds | 2-5 min | Sign up required | Sign up required |
| Learning Curve | Know JSON Schema? Done. | Learn UI | Learn platform | Learn UI |
What Makes Schemock Different?
🎯 JSON Schema as First-Class Citizen
- Other tools treat JSON Schema as an afterthought or optional import
- Schemock was built specifically for JSON Schema from day one
- Write schemas once, reuse everywhere (validation, documentation, testing)
🚀 Zero Setup — Single Binary
- No Node.js, Docker, or runtime dependencies required
- Works on air-gapped systems and offline environments
- Perfect for CI/CD pipelines and automated testing
⚡ Frictionless Developer Experience
- Just 3 commands from zero to a working API
- No account sign-up, no complex configuration, no learning curve
- Simply run
schemock start your-schema.jsonand you're done
📦 Production-Ready Features Included
- Built-in health checks for monitoring
- Realistic Faker-style data generation
- Watch mode for rapid development iteration
- Test scenarios (slow network, error-heavy, sad-path)
🤔 Why Not Just Use Hardcoded Data, MSW, or JSON Server?
You might be wondering: "Why not just hardcode JSON in my app or use existing tools?" Here's why Schemock is different:
❌ Hardcoding Mock Data in Your App
The Problem:
// hardcoded-data.js
const users = [
{ id: 1, name: "Alice", email: "[email protected]" },
{ id: 2, name: "Bob", email: "[email protected]" }
];
// This data gets stale, needs manual updates, and clutters your codebaseWhy This Approach Fails:
- Data Gets Stale: Hardcoded data becomes outdated when your real API changes
- Maintenance Nightmare: You must update mock data in multiple files across your codebase
- Inconsistency: Different components may show conflicting mock data
- No Realism: Static data doesn't test loading states, errors, or edge cases
- Code Bloat: Mock data pollutes your production codebase
How Schemock Fixes It:
// user-schema.json - Single source of truth
{
"type": "object",
"properties": {
"id": { "type": "string", "format": "uuid" },
"name": { "type": "string" },
"email": { "type": "string", "format": "email" }
}
}- ✅ Single schema file shared between frontend and backend teams
- ✅ Mock data stays external to your application code
- ✅ All components fetch from the same consistent endpoint
- ✅ Test slow networks, errors, and edge cases using scenarios
❌ MSW (Mock Service Worker)
The Problem: MSW is excellent for unit tests, but it's not designed for active development workflows.
Why It's Painful for Development:
// handlers.js - Complex setup in your app code
import { rest } from 'msw';
const handlers = [
rest.get('/api/users', (req, res, ctx) => {
return res(
ctx.status(200),
ctx.json({ users: [...] }) // You still have to write this data
);
})
];
// Then configure worker in your app...
setupWorker(...handlers).start();The Challenges:
- Setup Heavy: Requires configuring handlers, workers, and interceptors in your code
- Lives in Your App: Mock handlers become part of your production codebase
- Complex Scenarios: Difficult to toggle between fast/slow/error states
- Sharing is Hard: Other developers need to set up their own handlers
- Browser Only: Doesn't work with non-browser tools like Postman or curl
How Schemock Fixes It:
schemock start user-schema.json --scenario slow
# That's it. No code changes. No setup in your app.- ✅ Zero setup required in your application
- ✅ External mock server works with any HTTP client
- ✅ Easy scenario switching with command-line flags (slow, error-heavy, happy-path)
- ✅ Simple team sharing: one schema file, everyone uses the same mock server
- ✅ Works with Postman, curl, and all HTTP-based tools
❌ JSON Server
The Problem: JSON Server is a classic choice, but it requires a database-like structure and extensive manual data entry.
Why It's Frustrating:
// db.json - You have to manually write ALL the data
{
"users": [
{ "id": 1, "name": "Alice", "email": "[email protected]" },
{ "id": 2, "name": "Bob", "email": "[email protected]" }
// ...you have to write 10+ users manually
],
"posts": [
{ "id": 1, "title": "Post 1", "userId": 1 }
// ...and all posts manually
]
}The Pain Points:
- Manual Data Entry: You must write every single record by hand
- No Realistic Data: You only get what you manually type — no realistic UUIDs, emails, or dates
- Static Data: Each request returns the exact same static data
- Not Schema-First: It's database-first, not schema-first approach
- No Schema Validation: No guarantee your mock data matches your real API contract
- Limited Types: Difficult to model complex nested structures
How Schemock Fixes It:
// schema.json - Define the structure, get infinite realistic data
{
"type": "object",
"properties": {
"users": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": { "type": "string", "format": "uuid" },
"name": { "type": "string" },
"email": { "type": "string", "format": "email" }
}
},
"minItems": 10 // Get 10 realistic users automatically
}
}
}- ✅ No manual data entry — define the structure, get infinite realistic data
- ✅ Realistic data — proper UUIDs, emails, dates generated automatically
- ✅ Schema-first approach — matches your backend contract exactly
- ✅ Type-safe — validates against your schema automatically
- ✅ Complex structures supported — nested objects, arrays, and enums all work
🎯 When to Use Schemock vs. Other Tools
| Scenario | Use Schemock When... | Use MSW When... | Use JSON Server When... | |----------|---------------------|-------------------|----------------------| | Development | ✅ Building UI before backend exists | ❌ Overkill for simple dev workflows | ⚠️ Only if you already have JSON data files | | Unit Tests | ⚠️ MSW is better for this | ✅ Testing component isolation | ❌ Not suited for unit tests | | E2E Tests | ✅ Mock backend for Cypress/Playwright | ✅ MSW also works well here | ⚠️ Possible but less ideal | | API Design | ✅ Prototype APIs with frontend team | ❌ Not designed for this purpose | ❌ Requires manual data entry | | Schema Sharing | ✅ Single source of truth for contracts | ❌ No schema concept | ❌ No schema concept | | Team Collaboration | ✅ Share schema files easily | ❌ Code-based mocks hard to share | ⚠️ Must share JSON files |
Bottom Line:
- Use Schemock for frontend development, API prototyping, and schema-driven workflows
- Use MSW for unit tests and isolated component testing
- Use JSON Server only if you already have a JSON database file to serve
📋 Schema-First Benefits: Why It Matters
Single Source of Truth
// user-schema.json - Frontend and backend both use this
{
"type": "object",
"properties": {
"id": { "type": "string", "format": "uuid" },
"email": { "type": "string", "format": "email" }
}
}- Frontend: Uses Schemock to generate mock data from schema
- Backend: Implements the real API from the same schema
- Tests: Validates responses against the schema
- Result: Everyone agrees on the contract before code is written
Change Propagation When your schema changes:
- Update
user-schema.json(1 file) - Frontend sees updated mock data immediately (watch mode)
- Backend knows what to implement
- Tests automatically catch contract violations
- Documentation stays in sync
Reusable Across Tools
- Schemock: Generate mock APIs
- Ajv: Validate requests/responses in tests
- TypeScript: Generate TypeScript types from schema
- Swagger/OpenAPI: Convert schema to API docs
- Form Libraries: Generate form validation from schema
No More "It Works on My Machine"
- All developers use the same schema
- CI/CD runs Schemock with the same schema
- No hardcoded data differences between environments
- Consistent behavior across development, testing, and staging
One-Command Installation (Recommended)
macOS / Linux:
curl -fsSL https://raw.githubusercontent.com/toxzak-svg/schemock-app/main/install.sh | bashWindows (PowerShell):
iwr https://raw.githubusercontent.com/toxzak-svg/schemock-app/main/install.ps1 | iexAlternative: Scoop (Windows):
scoop install https://raw.githubusercontent.com/toxzak-svg/schemock-app/main/schemock.jsonDownload & Run
📥 Download v1.0.0 Portable (25 MB)
- Download
schemock-1.0.0-portable.zip - Extract anywhere (USB stick, desktop, project folder)
- Run
schemock-portable.batorquick-start.bat
That's it! Server starts at http://localhost:3000
Alternative: Windows Installer (Coming Soon)
Professional installer with:
- Start Menu shortcuts
- Automatic PATH configuration
- Right-click "Open with Schemock" on .json files
First Command
# Start with included example
schemock start examples\simple-user.json
# Or create your own schema
schemock init my-apiSee it in action:
- Open http://localhost:3000/ - New! Interactive API Playground
- Explore http://localhost:3000/api/data - Get realistic mock data instantly
- Use in your frontend code right away
{
"id": "550e8400-e29b-41d4-a716-446655440000",
"name": "John Doe",
"email": "[email protected]",
"age": 30,
"createdAt": "2025-12-24T10:30:00.000Z"
}💡 Frontend-First Workflow
Schemock is explicitly optimized for frontend teams blocked by backend development. Whether you're using React, Vue, Svelte, or Next.js, Schemock fits right into your dev loop.
Why frontend teams love it:
- Zero setup: Just point it at a JSON schema and start coding.
- Realistic delays: Test your loading states with
--scenario slow. - Error handling: Test how your UI handles 400s and 500s with
--scenario error-heavy. - API Playground: Visual interface at
/to explore endpoints and test requests.
📚 Integration Recipes
⚡ Using Schemock with Vite
# Auto-integrate with Vite project
schemock init-vite
# Or manually: Start Schemock in background, then Vite
schemock start mocks/api.json --port 3001 &
npm run dev🚀 Using Schemock with Next.js
# Start Schemock for API mocking
schemock start mocks/api.json --port 3001
# Start Next.js (API routes optional)
npm run dev
# Fetch from your pages:
fetch('http://localhost:3001/api/data')🧪 Using Schemock with Cypress Tests
# Terminal 1: Start Schemock
schemock start tests/api/schema.json --port 3001
# Terminal 2: Run Cypress tests
npm run cy:run
# Or use in Cypress config (cypress.config.js):
export default defineConfig({
e2e: {
setupNodeEvents(on, config) {
config.baseUrl = 'http://localhost:3001';
return config;
}
}
})📮 Using Schemock with Postman/Insomnia
# Start Schemock
schemock start api-schema.json --port 3001
# Import this collection into Postman:
curl http://localhost:3001/api/data
# Or test directly in Postman:
# GET http://localhost:3001/api/data
# POST http://localhost:3001/api/data
# Body: { "test": "data" }See complete recipes guide for more integrations!
💎 Open Source vs Pro
| Feature | Open Source (MIT) | Pro / Team | |---------|:---:|:---:| | Core Mocking Engine | ✅ | ✅ | | JSON Schema Support | ✅ | ✅ | | CRUD Generation | ✅ | ✅ | | Interactive Playground | ✅ | ✅ | | CLI Tool | ✅ | ✅ | | Pre-built Binaries | ❌ (Build yourself) | ✅ | | One-click Installers | ❌ | ✅ | | Priority Support | ❌ | ✅ | | Commercial Usage | MIT Terms | Perpetual License | | v2.x Upgrades | ❌ | ✅ (Enterprise) |
View full licensing details & pricing
🤝 Social Proof
Who uses Schemock?
Used by teams at innovative startups and fast-moving agencies:
- PixelPerfect UI - "Saved us 4 days of waiting for the backend team on our last sprint."
- DataFlow Systems - "The best way to prototype API contracts with stakeholders."
- DevLaunch Agency - "Our go-to tool for rapid prototyping React apps."
📋 Commands Reference (Copy-Pasta Ready)
🚀 Quick Start Commands
# Get up and running in 30 seconds
schemock start examples/simple-user.json
schemock start examples/ecommerce-product.json --port 3001
schemock start examples/blog-api.json --port 3002
schemock start examples/task-management.json --port 3003
schemock start examples/social-user.json --port 3004⚡ Development Workflow Commands
# Start with watch mode (auto-reload on schema changes)
schemock start schema.json --watch
# Start with custom port
schemock start schema.json --port 8080
# Start with watch mode + custom port
schemock start schema.json --watch --port 4000
# Start with debug logging
schemock start schema.json --log-level debug🎯 Testing Scenarios Commands
# Test with slow network (1-3s delays)
schemock start schema.json --scenario slow
# Test with random errors (400s, 500s)
schemock start schema.json --scenario error-heavy
# Test worst case (slow + errors)
schemock start schema.json --scenario sad-path
# Test happy path (fast, no errors)
schemock start schema.json --scenario happy-path
# Combine with watch mode for iterative testing
schemock start schema.json --scenario slow --watch🔧 Configuration Commands
# Disable CORS (for non-browser clients)
schemock start schema.json --no-cors
# Enable strict mode (enforce all constraints)
schemock start schema.json --strict
# Everything combined
schemock start schema.json --watch --port 3001 --scenario slow --log-level debug --strict🛠️ Schema Management Commands
# Validate a schema (get human-readable errors)
schemock validate schema.json
# Initialize a new project
schemock init my-api
# Generate CRUD schema for a resource
schemock crud product
schemock crud user
schemock crud order
# Initialize Vite integration
schemock init-vite📦 Multi-Server Commands
# Run multiple mock servers on different ports
schemock start users.json --port 3001 &
schemock start products.json --port 3002 &
schemock start orders.json --port 3003 &🐛 Debugging Commands
# Enable verbose debug output
schemock start schema.json --log-level debug
# Check schema validity before starting
schemock validate schema.json && schemock start schema.json
# Test health endpoint
curl http://localhost:3000/health💡 Common Use Cases
# React/Vite development
schemock start mocks/api.json --port 3001 --watch
# Next.js development
schemock start mocks/api.json --port 3001
# Then run: npm run dev
# Cypress E2E testing
schemock start tests/api/schema.json --port 3001 --scenario slow
# Then run: npm run cy:run
# CI/CD pipeline
schemock start ci/schema.json --scenario happy-path --log-level info
# Multiple environments
schemock start dev-schema.json --port 3001 --scenario happy-path
schemock start test-schema.json --port 3002 --scenario sad-path
schemock start staging-schema.json --port 3003 --scenario slow📚 Getting Help
# Show main help
schemock --help
# Show start command help
schemock start --help
# Show validate command help
schemock validate --help
# Show init command help
schemock init --help
# Show crud command help
schemock crud --help🔑 All Command Options
schemock start [schemaPath] [options]
Options:
-p, --port <number> Server port (default: 3000)
-w, --watch Watch for schema changes and auto-reload
--no-cors Disable CORS headers
--log-level <level> Log level: error, warn, info, debug
--scenario <preset> Preset scenario: happy-path, slow, error-heavy, sad-path
--strict Enable strict validation mode
-h, --help Display help for this command
schemock validate [schemaPath] [options]
Options:
-h, --help Display help for this command
schemock init [projectName] [options]
Options:
-h, --help Display help for this command
schemock crud <resourceName> [options]
Options:
-h, --help Display help for this command
schemock init-vite [options]
Options:
-h, --help Display help for this command⚡ Vite & React Integration
Schemock is a first-class citizen for Vite-based frontends. You can integrate it directly into your Vite dev server for a seamless "one-command" development experience.
1. Automatic Integration (Recommended)
Run the following command in your Vite project root:
schemock init-viteThis will:
- Create a
mocks/directory with a sample schema. - Add a
mockscript to yourpackage.json. - Provide instructions for adding the Schemock Vite plugin.
2. Manual Integration
Install Schemock:
npm install --save-dev schemockAdd to vite.config.ts:
import { defineConfig } from 'vite';
import { schemockVitePlugin } from 'schemock';
export default defineConfig({
plugins: [
schemockVitePlugin({
schemaPath: 'mocks/api.json', // Path to your schema
prefix: '/api', // API prefix to proxy
port: 3001 // Mock server port
})
]
});Now, when you run npm run dev, Schemock will start automatically and any requests to /api will be served by your mock server!
✨ Features
Core Capabilities
- ✅ JSON Schema → REST API - Instant transformation from schema to endpoint
- ✅ Multi-Endpoint DSL - Define multiple paths and methods in one schema
- ✅ CRUD Generator - Template generator for common resource patterns
- ✅ GET & POST Support - Read data and echo responses
- ✅ Health Check - Built-in
/healthendpoint for monitoring - ✅ CORS Enabled - No configuration needed for web apps
- ✅ Hot Reload - Watch mode detects schema changes automatically
- ✅ Zero Config - Works out of the box with sensible defaults
🛠️ Multi-Endpoint DSL
You can define multiple routes in a single schema file using the x-schemock-routes property. This allows you to build complex mock APIs with a single configuration.
{
"x-schemock-routes": [
{
"path": "/api/users",
"method": "get",
"response": {
"type": "array",
"items": { "$ref": "#/definitions/User" },
"minItems": 5
}
},
{
"path": "/api/users/:id",
"method": "get",
"response": { "$ref": "#/definitions/User" }
},
{
"path": "/api/users",
"method": "post",
"statusCode": 201,
"response": { "success": true, "message": "User created" }
}
],
"definitions": {
"User": {
"type": "object",
"properties": {
"id": { "type": "string", "format": "uuid" },
"name": { "type": "string" }
}
}
}
}📦 CRUD Generator
Schemock can automatically generate a full CRUD (Create, Read, Update, Delete) API for any resource name you provide.
schemock crud productThis will create a product-crud.json file with all standard RESTful endpoints pre-configured and linked to a generated Product definition.
Data Generation
- ✅ Realistic Formats - UUIDs, emails, dates, URIs generated correctly
- ✅ Type Awareness - Respects string, number, boolean, object, array types
- ✅ Constraints - Min/max, patterns, enums, required fields
- ✅ Nested Objects - Complex nested structures supported
- ✅ Arrays - Dynamic array generation with proper items
Developer Experience
- ✅ Fast Startup - Server ready in ~1.5 seconds
- ✅ Low Latency - 10-30ms GET responses
- ✅ Lightweight - 60-80 MB memory footprint
- ✅ Comprehensive Docs - User guide, API docs, examples included
- ✅ Error Messages - Clear, actionable error descriptions
📊 Performance
| Metric | Value | |--------|-------| | Startup Time | ~1.5 seconds | | GET Latency | 10-30 ms | | POST Latency | 20-50 ms | | Memory (Idle) | 60-80 MB | | Concurrent Requests | 200+ | | Tests Passing | 176/176 (100%) |
📖 Documentation
| Guide | Description | |-------|-------------| | Quick Start | Get running in 5 minutes | | User Guide | Complete walkthrough with examples | | API Documentation | Full API reference | | Deployment Guide | Production deployment best practices | | Troubleshooting | Common issues and solutions | | Examples | Sample schemas to get started |
🔧 Example: E-commerce Product API
1. Create schema (product.json):
{
"type": "object",
"properties": {
"id": { "type": "string", "format": "uuid" },
"name": { "type": "string" },
"price": { "type": "number", "minimum": 0 },
"category": {
"type": "string",
"enum": ["Electronics", "Clothing", "Books"]
},
"inStock": { "type": "boolean" },
"createdAt": { "type": "string", "format": "date-time" }
},
"required": ["id", "name", "price"]
}2. Start server:
schemock start product.json3. Use in your frontend:
// React, Vue, Angular - just fetch!
fetch('http://localhost:3000/api/data')
.then(res => res.json())
.then(data => console.log(data));
// Example response:
// {
// "id": "7f3e4d1a-8c2b-4f9e-a1d3-6b8c5e9f0a2d",
// "name": "Sample Product",
// "price": 29.99,
// "category": "Electronics",
// "inStock": true,
// "createdAt": "2025-12-24T10:30:00.123Z"
// }� What's Included
v1.0.0 Release Contents
Executables:
schemock.exe- Standalone Windows executable (~73 MB)- No Node.js required - Runtime embedded
Documentation:
- User Guide - Complete walkthrough
- API Documentation - Full endpoint reference
- Deployment Guide - Production best practices
- Troubleshooting Guide - Common issues & fixes
Examples:
simple-user.json- Basic user schemaecommerce-product.json- Complex nested schema- More examples in
/examplesfolder
Utilities:
- Batch files for quick start
- Health check endpoint
- Version information
🔐 Security
- ✅ Input Validation - All inputs sanitized and validated
- ✅ Path Traversal Protection - No directory traversal attacks
- ✅ Size Limits - Request body limited to 10MB
- ✅ No Shell Injection - Safe command execution
- ✅ Security Tested - Dedicated security test suite
- ✅ 176/176 Tests Passing - Full coverage of security scenarios
🎯 Supported JSON Schema Features
| Feature | Support | Example |
|---------|---------|---------|
| Basic Types | ✅ | string, number, boolean, object, array |
| String Formats | ✅ | uuid, email, date-time, uri |
| Constraints | ✅ | minimum, maximum, pattern, minLength |
| Enums | ✅ | "enum": ["red", "green", "blue"] |
| Required Fields | ✅ | "required": ["id", "name"] |
| Nested Objects | ✅ | Objects within objects |
| Arrays | ✅ | Arrays of any type with item schemas |
| References | ✅ | $ref to other schema parts |
| oneOf/anyOf/allOf | ✅ | Schema composition |
🛠️ Advanced Usage
Watch Mode (Auto-Reload)
schemock start schema.json --watchChanges to schema.json automatically restart the server.
Custom Port
schemock start schema.json --port 8080Debug Logging
schemock start schema.json --log-level debugDisable CORS
schemock start schema.json --no-corsPreset Scenarios
Test how your frontend handles delays and errors:
# Simulate a slow network (1-3s delays)
schemock start schema.json --scenario slow
# Simulate an unreliable API (random 4xx/5xx errors)
schemock start schema.json --scenario error-heavy
# Simulate the worst-case "sad path" (both slow and unreliable)
schemock start schema.json --scenario sad-pathAll Options
schemock start [schemaPath] [options]
Options:
-p, --port <number> Server port (default: 3000)
-w, --watch Watch for schema changes
--no-cors Disable CORS
--log-level <level> Log level: error, warn, info, debug
--scenario <preset> Preset scenario: happy-path, slow, error-heavy, sad-path
-h, --help Display help🔧 Configuration
Server Options
{
"port": 3000,
"basePath": "/api",
"watch": true,
"cors": true,
"logLevel": "info",
"scenario": "happy-path",
"strict": false
}Route Configuration
{
"path": "/users",
"method": "get",
"response": { "status": "ok" },
"statusCode": 200,
"delay": 0,
"headers": { "X-Custom": "Value" }
}📝 Environment Variables
| Variable | Description | Default |
|----------|-------------|---------|
| PORT | Default server port | 3000 |
| NODE_ENV | Environment mode | development |
| LOG_LEVEL | Default log level | info |
🏗️ Building from Source
Prerequisites
- Node.js 18+ (for development only)
- npm 9+
Development
# Clone the repository
git clone https://github.com/toxzak-svg/schemock-app.git
cd schemock-app
# Install dependencies
npm install
# Run tests
npm test
# Build TypeScript
npm run build
# Create executable
npm run build:exeCreate Distribution Package
npm run build:distributionCreates:
- Standalone executable
- Portable ZIP package
- Checksums and build reports
🤝 Contributing
We welcome contributions! See CONTRIBUTING.md for guidelines.
Quick Contribution Guide
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Make your changes and add tests
- Ensure all tests pass (
npm test) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
� Pricing & Licensing
Simple, One-Time Pricing
| License Type | Price | Users | Best For | |--------------|-------|-------|----------| | Individual | One-time per user | 1 developer | Freelancers, solo developers | | Team | One-time per team | 5-25 developers | Small to medium teams | | Enterprise | Custom pricing | Unlimited | Large organizations (25+ devs) |
All licenses include:
- ✅ Lifetime updates for your major version
- ✅ Pre-built binaries and installers
- ✅ No recurring fees
- ✅ Commercial use allowed
Open Source Option
- FREE - Source code available under MIT License
- Full access to all features
- Build from source yourself
- Community support
Commercial licenses add: Professional binaries, installers, priority support, and remove attribution requirements.
📋 View Full License Terms - Complete EULA and usage rights
📄 License
Dual licensed:
- MIT License - Free open source (LICENSE)
- Commercial License - Professional distribution (COMMERCIAL-LICENSE.md)
Choose the license that best fits your needs.
🌟 Support & Community
Found this useful?
- ⭐ Star the repo on GitHub
- 🐦 Share on social media
- 💬 Join Discussions
- 🐛 Report Issues
Need help?
- 📖 Check the Documentation
- 🔍 Search existing issues
- 💬 Start a Discussion
- 📝 Read Troubleshooting Guide
🗺️ Roadmap
v1.x Future Features
- [ ] Linux and macOS binaries
- [ ] GUI installer for Windows
- [ ] More realistic data generators
- [ ] Custom data generation functions
- [ ] Response templates
- [ ] Multiple endpoint support
- [ ] GraphQL schema support
- [ ] Docker image
- [ ] VS Code extension
Have a feature request? Open an issue!
📊 Project Stats
