The deployment landscape for Python

Python APIs cannot run on purely static hosting platforms like GitHub Pages or Netlify (those serve HTML/JS only). You need a platform that runs a Python process, specifically, a WSGI or ASGI server like uvicorn or gunicorn.

The good news: in 2026, several platforms make this nearly painless. The bad news: "nearly painless" still requires understanding what is happening under the hood, because when something breaks at 2 AM, the AI is not the one getting paged.

Railway

Railway is the platform AI recommends most often, and for good reason, it has the shortest path from code to deployed URL.

# The entire Railway deployment flow
railway login
railway init
railway up
# That's it. You get a URL.

Railway detects your Python project, installs dependencies from requirements.txt, and runs your start command. You can also deploy from a GitHub repo with automatic deploys on push.

Fly.io

Fly.io deploys DockerWhat is docker?A tool that packages your application and all its dependencies into a portable container that runs identically on any machine. Ask AI for more containers to edge locations worldwide. It gives you more control than Railway but requires more configuration.

fly launch          # generates fly.toml and Dockerfile
fly deploy          # builds and deploys
fly secrets set DATABASE_URL=postgresql://...

Fly.io generates a fly.toml configuration file and expects a Dockerfile. If you followed the Docker moduleWhat is module?A self-contained file of code with its own scope that explicitly exports values for other files to import, preventing name collisions. Ask AI for more, you already have one.

Render

Render positions itself as the simple PaaSWhat is paas?Platform as a Service - a managed hosting service where you push your code and the platform handles deployment, SSL, restarts, and scaling. Ask AI for more, somewhere between Railway's zero-config approach and Fly.io's DockerWhat is docker?A tool that packages your application and all its dependencies into a portable container that runs identically on any machine. Ask AI for more-based control.

# render.yaml - Infrastructure as Code
services:
  - type: web
    name: my-api
    runtime: python
    buildCommand: pip install -r requirements.txt
    startCommand: uvicorn main:app --host 0.0.0.0 --port $PORT
    envVars:
      - key: DATABASE_URL
        fromDatabase:
          name: my-db
          property: connectionString

databases:
  - name: my-db
    plan: free

Cloudflare Python Workers

Since 2025, Cloudflare supports Python Workers via Pyodide (a WebAssembly Python runtimeWhat is runtime?The environment that runs your code after it's written. Some languages need a runtime installed on the machine; others (like Go) bake it into the binary. Ask AI for more). You can even run FastAPI on it. But it comes with significant constraints.

# worker.py - FastAPI on Cloudflare Workers
from fastapi import FastAPI

app = FastAPI()

@app.get("/")
async def root():
    return {"message": "Running on the edge"}

# Deployed via wrangler, runs in V8 isolates

Decision framework

Quick reference