Free
Ship
Full-stack boilerplate to build MVPs in days and scale for years
JavaScript
TypeScript
React
Tailwind CSS
MongoDB
Next.js
Node.js
Features:
1-Click Deploy
Auth
Backend
CI/CD
Docker
Backend Boilerplates
Explore 7 boilerplates in this collection. Find the perfect starting point for your next project.
Other Features & Functionality91
1-Click Deploy
2FA
Access Control
Admin
AI
Analytics
Animations
Announcements
API
Auth
AWS
Backend
Background Jobs
Billing
Blog
Caching
Changelog
Charts
ChatGPT
CI/CD
Clean Architecture
CMS
Community
Contact
ContentLayer
CRUD
Dark Mode
Dashboard
Deployment
Developer Tools
Docker
Docs
Emails
Feature Flags
Feedback
GDPR
Google OAuth
i18n
IaC
IAP
Invites
JWT
Landing Page
Legal Pages
Logging
Magic Links
Markdown
Marketing
Mobile Development
Monetization
Monitoring
Monorepo
Multi-Tenancy
Navigation
Newsletter
Notifications
OAuth
Onboarding
OpenAI
Organizations
ORM
Page Builder
Payments
Paywalls
Prettier
Pricing
Profiles
Protected Routes
Responsive
Roadmap
SEO
Serverless
Settings
Social Login
SSR
State Management
Storage
Storybook
Subscriptions
Support
Teams
Templates
Testing
Themes
Type-Safe
UI Components
User Impersonation
Users
Waitlist
Webhooks
WebSockets
$129
ShipAhead
Complete Nuxt 4 boilerplate and launch SaaS in hours
JavaScript
DaisyUI
Markdown
Nuxt
Tailwind CSS
Vue.js
Drizzle ORM
Neon
PostgreSQL
Supabase
Stripe
Nuxt
Features:
Access Control
Admin
AI
Analytics
Animations
API
Auth
+51 more
$199
WrapFast
The SwiftUI boilerplate with all you need to build monetizable AI Wrappers or any iOS app FAST
Swift
SwiftUI
Firestore
In-App Purchases
RevenueCat
Express
SwiftUI
Features:
AI
Analytics
Auth
Backend
Dark Mode
Feedback
i18n
+6 more
$99
ShipFlutter
A fully customizable starter kit to seamlessly launch responsive Android, iOS, and Web apps with Flutter powered by Firebase and Vertex AI.
Dart
Custom UI
Material
Firestore
Lemon Squeezy
RevenueCat
Firebase
Flutter
Features:
AI
Analytics
Auth
Backend
CRUD
Feedback
i18n
+11 more
$169
Swift Maker
The SwiftUI boilerplate that empowers serious iOS developers to transform side projects into profitable apps in record time
Swift
SwiftUI
In-App Purchases
SwiftUI
Vapor
Features:
AI
Analytics
Auth
Backend
CI/CD
Dark Mode
Deployment
+6 more
$179
SwiftyLaunch
iOS App Generator that handles tedious setup work for developers
Swift
SwiftUI
Firestore
Supabase
In-App Purchases
Firebase
PostHog
SwiftUI
Features:
AI
Analytics
Auth
Backend
Marketing
Notifications
Payments
+1 more
$249
SaaS Pegasus
Django-based SaaS boilerplate for building web applications
Python
Bootstrap
Bulma
HTMX
React
Tailwind CSS
PostgreSQL
SQLite
Stripe
Django
Wagtail CMS
Features:
2FA
Admin
AI
API
Auth
Backend
Background Jobs
+14 more
Why Choose Backend Boilerplates?
Backend represents a complete full-stack feature with dedicated API endpoints, database models, and UI components architected for SaaS applications. Our boilerplates with Backend implement layered architecture patterns—separating business logic, data access, and presentation—with security measures and testing strategies specific to Backend's functionality.
Backend boilerplates implement full-stack architecture with service layers for business logic, repository patterns for data access, and RESTful/GraphQL API endpoints. They include Backend-specific security measures like input validation with schema libraries (Zod, Joi), parameterized queries for SQL injection prevention, and CSRF protection. The implementation handles Backend's real-time requirements with WebSockets or SSE when needed, includes comprehensive error handling, and follows OWASP security guidelines for Backend's functionality.
Key Benefits
- Backend layered architecture
- Backend-specific security measures
- Backend API endpoint design
- Backend real-time capabilities
- Backend validation schemas
- Backend error handling
- Backend testing suite
- Backend performance optimization
Browse our collection of 7 Backend boilerplates to find the perfect starting point for your next SaaS project. Each boilerplate has been carefully reviewed to ensure quality, security, and production-readiness.
Frequently Asked Questions
How is Backend architecturally implemented?
Backend is implemented following full-stack architecture patterns with dedicated API endpoints, database models with proper relationships, and corresponding UI components. The feature includes its own service layer for business logic, validation schemas, error handling, and event-driven updates. The architecture separates concerns between presentation, business logic, and data access layers, making Backend maintainable and testable.
What security measures protect Backend?
Backend implements defense-in-depth security including input validation with schema validation libraries (Zod, Joi, Yup), parameterized database queries to prevent SQL injection, output encoding to prevent XSS attacks, CSRF token validation, and proper authentication/authorization checks. The feature includes rate limiting, audit logging, and follows OWASP security guidelines specific to Backend's functionality.
How does Backend handle real-time updates?
Backend can include real-time capabilities using WebSockets, Server-Sent Events (SSE), or polling strategies depending on the use case. Real-time implementations use Socket.io, native WebSockets, or framework-specific solutions with proper connection management, authentication, and scaling considerations. The feature handles reconnection logic, message queuing, and optimistic UI updates for responsive user experience.
What API patterns does Backend use?
Backend's API endpoints follow RESTful principles or GraphQL patterns with proper HTTP methods, status codes, and response structures. The implementation includes request validation, pagination for list endpoints, filtering and sorting capabilities, and comprehensive error responses with meaningful messages. API versioning, rate limiting per endpoint, and OpenAPI/GraphQL schema documentation are included for Backend's public-facing endpoints.
How is Backend tested and validated?
Backend includes unit tests for business logic, integration tests for API endpoints and database interactions, and end-to-end tests for critical user flows. The testing suite uses framework-specific tools (Jest, Pytest, RSpec, PHPUnit) with mocking libraries, test fixtures, and database seeding. Tests cover happy paths, error cases, edge conditions, and security scenarios specific to Backend's functionality with proper test coverage reporting.