Flask Boilerplates

Explore 1 boilerplate in this collection. Find the perfect starting point for your next project.

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ShipFlask

A Python starter kit for your next SaaS

Python
AJAX
jQuery
MongoDB
Stripe
Flask

Features:

AI
Auth
ChatGPT
Emails
OpenAI
ORM
Payments
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Why Choose Flask Boilerplates?

Flask provides a comprehensive framework architecture with built-in routing, middleware, and ORM integration tailored for SaaS development. Our Flask boilerplates implement the framework's conventions—from its MVC/API structure to its plugin ecosystem—giving you a production-ready foundation that leverages Flask's specific strengths in web application development.

Flask boilerplates are structured around the framework's architecture patterns and conventions. They integrate Flask's native ORM/query builder with optimized models and relationships, implement the framework's middleware pipeline for authentication and validation, and use framework-specific packages for caching, queues, and background jobs. The routing structure follows Flask's conventions, ensuring predictable code organization as your SaaS scales.

Key Benefits

  • Flask's native routing and middleware
  • Flask ORM with migrations and seeders
  • Flask-optimized deployment configs
  • Flask plugin ecosystem integration
  • Flask conventions and project structure
  • Flask-specific caching and queues
  • Flask CLI tools and generators
  • Flask community packages included

Browse our collection of 1 Flask boilerplate 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

What Flask-specific architecture patterns are implemented?

Flask boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement Flask's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows Flask's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.

How does Flask's ORM/database layer work in these boilerplates?

Flask boilerplates use the framework's native ORM or query builder (Prisma, Eloquent, Active Record, SQLAlchemy, etc.) with pre-configured models for users, subscriptions, teams, and common SaaS entities. They include optimized queries, relationships, migrations, seeders, and database connection pooling. The implementation leverages Flask's specific features like eager loading, query scopes, and transaction handling for performance.

What deployment strategies work best with Flask?

Flask boilerplates are optimized for the framework's ideal deployment platforms. This includes containerization with Docker, serverless configurations (if supported), CDN integration, and environment-specific builds. They include Flask-specific deployment configurations for platforms like Vercel (Next.js), Heroku (Rails), Platform.sh (Laravel), or cloud providers with proper build steps, environment variables, and scaling configurations.

What Flask plugins and middleware are pre-configured?

Flask boilerplates include essential framework-specific middleware and plugins for authentication (Passport, NextAuth, Devise, etc.), rate limiting, CORS, session management, and request validation. They leverage Flask's ecosystem with popular packages for tasks like job queuing, caching, email handling, and file uploads—all configured with production-ready settings and proper error handling.

How are Flask version updates handled?

Flask boilerplates target the latest stable framework version and follow the framework's upgrade guidelines. They're structured to minimize breaking changes when updating Flask versions—using stable APIs, avoiding deprecated features, and documenting any version-specific dependencies. Most include update guides for migrating to newer Flask versions while maintaining your custom features.