ShipFlask

A Python starter kit for your next SaaS

Overview

Everything you need to ship a production-ready web application

ShipFlask is a complete Python-Flask backend with all the essential components for launching your online business:

  • User authentication with Auth0
  • Payment processing with Stripe
  • AI chatbot integration with OpenAI
  • Transactional emails via MailerSend or Postmark
  • Database connectivity with MongoDB
  • Dynamic content using AJAX

The boilerplate gives you a solid foundation so you can focus on building your unique features rather than setting up infrastructure.

Michael Sjöberg's profile picture

Michael Sjöberg

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Frequently Asked Questions

Python

What makes Python ideal for SaaS development?

Python excels in SaaS development due to its robust ecosystem, strong typing capabilities, and excellent library support. Python boilerplates leverage language-specific features to provide type-safe database queries, efficient API routing, and optimized runtime performance. The language's maturity means you get battle-tested packages for authentication, payment processing, and background jobs that integrate seamlessly.

Flask

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.

AJAX

What AJAX-specific component architecture is used?

AJAX boilerplates follow the framework's component composition patterns with reusable, atomic design components. They implement AJAX's best practices for component structure, props handling, event management, and lifecycle methods. The component library includes authentication flows, dashboards, data tables, forms with validation, and navigation—all built with AJAX's native features like hooks (React), composition API (Vue), or directives (Angular).

jQuery

What jQuery-specific component architecture is used?

jQuery boilerplates follow the framework's component composition patterns with reusable, atomic design components. They implement jQuery's best practices for component structure, props handling, event management, and lifecycle methods. The component library includes authentication flows, dashboards, data tables, forms with validation, and navigation—all built with jQuery's native features like hooks (React), composition API (Vue), or directives (Angular).

MongoDB

What MongoDB-specific features are leveraged in these boilerplates?

MongoDB boilerplates utilize the database's native capabilities including its transaction model (ACID for SQL, eventual consistency for NoSQL), indexing strategies (B-tree, GiST, full-text search), and advanced features like JSON columns, array types, window functions, or document queries. The schema design takes advantage of MongoDB's strengths—whether that's PostgreSQL's JSONB, MySQL's full-text search, MongoDB's aggregation pipeline, or Redis's data structures.

Stripe

What Stripe API features are implemented?

Stripe boilerplates implement the provider's complete API suite including checkout sessions, subscription lifecycle management, customer portal, webhook event handling, and invoice generation. They use Stripe's latest API version with proper error handling, idempotency keys, and retry logic. The integration includes Stripe-specific features like payment intents, setup intents, subscription schedules, and tax calculation APIs.

Python

What Python-specific tools and libraries are included?

Python boilerplates include the language's most popular and production-proven tools. This typically includes testing frameworks, linters, formatters, build tools, and package managers specific to Python. You'll get pre-configured toolchains that enforce best practices, automated testing pipelines, and development environments optimized for Python development workflows.

Flask

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.

AJAX

How is state management handled in AJAX boilerplates?

AJAX boilerplates use the framework's recommended state management approach—whether that's React Context + hooks, Redux Toolkit, Zustand, Pinia (Vue), NgRx (Angular), or Svelte stores. They include pre-configured state slices for authentication, user data, subscriptions, and UI state with proper TypeScript typing. The implementation follows AJAX's patterns for global state, local component state, and server state synchronization.

jQuery

How is state management handled in jQuery boilerplates?

jQuery boilerplates use the framework's recommended state management approach—whether that's React Context + hooks, Redux Toolkit, Zustand, Pinia (Vue), NgRx (Angular), or Svelte stores. They include pre-configured state slices for authentication, user data, subscriptions, and UI state with proper TypeScript typing. The implementation follows jQuery's patterns for global state, local component state, and server state synchronization.

MongoDB

How is the MongoDB schema designed for SaaS applications?

MongoDB boilerplates include production-tested schemas for multi-tenancy, user management, subscriptions, and billing. The design follows MongoDB's best practices for data modeling—whether that's normalized tables with foreign keys (SQL), embedded documents vs. references (MongoDB), or partition key strategies (DynamoDB). Schemas include proper constraints, default values, and relationship management optimized for MongoDB's query engine.

Stripe

How are Stripe webhooks handled securely?

Stripe webhooks are verified using the provider's signature validation to prevent spoofing attacks. The boilerplate includes webhook endpoints with proper Stripe signature verification, event type filtering, and idempotent event processing to handle duplicate deliveries. Events are processed asynchronously with retry logic, and the implementation handles Stripe's specific webhook events like subscription updates, payment failures, and customer changes.