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Django vs FastAPI
Trust Score comparison · March 2026
VS
Trust Score Δ
7
🏆 FastAPI wins
Signal Comparison
8M / wkPyPI downloads18.4M / mo
180 commitsCommits (90d)98 commits
81k ★GitHub stars78k ★
300k q'sStack Overflow14k q's
HighCommunityVery High
DjangoFastAPI
Key Differences
| Factor | Django | FastAPI |
|---|---|---|
| License | BSD 3-Clause | MIT |
| Language | Python | Python |
| Hosted | Self-hosted | Self-hosted |
| Free tier | — | ✓ Yes |
| Open Source | ✓ Yes | ✓ Yes |
| TypeScript | — | — |
Pick Django if…
- Python teams building full-stack web apps with complex data models
- You need a built-in admin panel to manage data without custom UI
- Apps requiring robust ORM, migrations, and authentication from day one
Pick FastAPI if…
- You're building a Python REST API or microservice
- You want automatic API docs (Swagger/OpenAPI) with zero configuration
- You need async support and high performance for Python
Side-by-side Quick Start
Django
# Create a project
django-admin startproject mysite && cd mysite
# models.py
from django.db import models
class Post(models.Model):
title = models.CharField(max_length=200)
body = models.TextField()
# Run migrations and start server
python manage.py migrate && python manage.py runserverFastAPI
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class Tool(BaseModel):
name: str
trust_score: int
category: str
@app.get("/tools")
async def list_tools():
return {"tools": await db.fetch_all("SELECT * FROM tools")}
@app.post("/tools", status_code=201)
async def create_tool(tool: Tool):
id = await db.execute("INSERT INTO tools ...", tool.dict())
return {"id": id, **tool.dict()}
# Run: uvicorn main:app --reload
# Docs: http://localhost:8000/docsCommunity Verdict
Based on upvoted notes🏆
FastAPI wins this comparison
Trust Score 97 vs 90 · 7-point difference
FastAPI leads on Trust Score with stronger signal data across downloads and community health. That said, the other tool is worth considering if your use case matches its specific strengths above.