python-patterns

Guide Python framework selection between FastAPI, Django, and Flask.

41|12|Updated Jan 16, 2026
One-click install
npx skills add https://github.com/nguyenphp/antigravity-marketing --skill python-patterns-nguyenphp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-patterns
Source: https://github.com/nguyenphp/antigravity-marketing/tree/main/templates/.agent/skills/python-patterns
Command: npx skills add https://github.com/nguyenphp/antigravity-marketing --skill python-patterns-nguyenphp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers make informed decisions about Python frameworks, asynchronous programming, type hinting, and project structure, promoting robust and maintainable code.

Core Features & Use Cases

  • Framework Selection: Guides users to choose the best Python web framework (FastAPI, Django, Flask) based on project requirements.
  • Async vs. Sync: Provides clear principles for deciding when to use asynchronous programming.
  • Type Hinting Strategy: Offers best practices for implementing type hints effectively.
  • Project Structure: Recommends scalable project structures for different application sizes.
  • Use Case: A developer is starting a new web service and is unsure whether to use FastAPI or Django. This Skill helps them evaluate the trade-offs based on their specific needs for API-only development, async support, and team familiarity.

Quick Start

Use the python-patterns skill to decide which framework to use for a new API project.

Frequently Asked Questions about python-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose between FastAPI, Django, and Flask for a new Python web service?

Choosing between FastAPI, Django, and Flask depends on your project requirements. This guidance evaluates trade-offs based on specific needs for API-only development, async support, and team familiarity to ensure a robust and maintainable architecture.

When should I use async versus sync programming in Python development?

Use async programming in Python when your application requires high concurrency for I/O-bound tasks. This guidance provides clear principles for deciding when asynchronous programming offers scalable advantages over synchronous execution.

What is the best way to implement type hinting strategies for a scalable Python project?

The best way to implement type hinting is by following established best practices for effective annotation. This guidance offers specific strategies to implement type hints that promote maintainable code without creating unnecessary overhead.

How do I structure a Python project for maintainability as the application scales?

To structure a scalable Python project, you should follow recommended architectural layouts. This guidance recommends scalable project structures specifically tailored for different application sizes to maintain code robustness.

Does this Python framework guidance apply to building API-only applications?

Yes, this Python framework guidance directly applies to API-only applications. It helps you evaluate framework trade-offs, specifically highlighting when API-first frameworks provide advantages over full-stack alternatives.