FastAPI High Performance Python Framework

FastAPI - Python Web Framework

What is FastAPI?

FastAPI is a modern, high-performance web framework for building APIs with Python 3.6+, created by Sebastián Ramírez. It is known for top-tier performance among Python frameworks, automatic documentation, and native support for async/await.

First released
2018
Creator
Sebastián Ramírez
Performance
60k+ req/s
GitHub Stars
70k+
3–5x
Faster than Django
100%
Type Coverage
Auto
API Docs
main.py
# FastAPI web application
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class User(BaseModel):
name: str
age: int
@app.post("/users/")
async def create_user(user: User):
return {"message": f"Hello {user.name}!"}
Auto-generated docs at /docs:
✓ Swagger UI interface
✓ Request/Response models
✓ Try it out functionality
techCodeExamples.fastapi.note1
techCodeExamples.fastapi.note2

Benefits of FastAPI for API Projects

Why is FastAPI revolutionizing API development in Python? Key advantages of the fastest Python framework.

Drawbacks of FastAPI – An Honest Assessment

The limitations and challenges of FastAPI in enterprise projects – what you should know before adopting it.

What is FastAPI Used For?

The main use cases of FastAPI in 2025 – REST APIs, microservices, ML APIs, with practical examples.

REST APIs and GraphQL

High-performance REST APIs, GraphQL endpoints, OpenAPI documentation

tech.useCases.frameworks
FastAPIStarletteGraphQLSQLAlchemyTortoise ORM
tech.useCases.realExamples

Uber internal APIs, Microsoft APIs, Netflix ML models

Microservices and Distributed Architecture

Lightweight microservices, service mesh, asynchronous communication

tech.useCases.frameworks
DockerKubernetesRedisRabbitMQConsul
tech.useCases.realExamples

Banking APIs, e-commerce backends, IoT platforms

Machine Learning APIs

Deploying ML models, real-time predictions, batch processing

tech.useCases.frameworks
TensorFlow ServingMLflowCeleryRedisPostgreSQL
tech.useCases.realExamples

Computer vision APIs, NLP services, recommendation engines

High-Performance Asynchronous Applications

Real-time applications, WebSocket handling, streaming data

tech.useCases.frameworks
WebSocketsServer-Sent EventsCeleryRedis Streams
tech.useCases.realExamples

Chat applications, live dashboards, real-time analytics

FastAPI Projects – SoftwareLogic.co

Our high-performance APIs and FastAPI microservices running in production.

Desktop application with AI features
TimeCamp.com
Time Management SaaS

Desktop application with AI features

offers.common.challenge

Users were losing time on manual categorization of activities and projects

offers.common.solution

We created an Electron application with AI that automatically recognizes activities and categorizes projects

offers.common.impact

Automatic categorization of 90% activities, 60% less time on administration

Automated order cost analysis
ISO-Trade.eu
Business Automation System

Automated order cost analysis

offers.common.challenge

Hundreds of thousands of orders monthly, no fast tool for analyzing Allegro costs and commissions

offers.common.solution

We built an API that automatically retrieves and processes cost data from multiple Allegro stores

offers.common.impact

Full automation of financial data, elimination of manual work, faster business decisions

FAQ: FastAPI – Frequently Asked Questions

Complete answers to the most common questions about the FastAPI framework.

contactCTA.title

contactCTA.description

contactCTA.response