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Trust Score comparison · April 2026
| Factor | FastAPI | Flask |
|---|---|---|
| License | MIT | BSD 3-Clause |
| Language | Python | Python |
| Hosted | Self-hosted | Self-hosted |
| Free tier | ✓ Yes | — |
| Open Source | ✓ Yes | ✓ Yes |
| TypeScript | — | — |
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/docsfrom flask import Flask, jsonify
app = Flask(__name__)
@app.route('/api/hello')
def hello():
return jsonify(message='Hello from Flask!')
if __name__ == '__main__':
app.run(debug=True)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.