GitHub - LuciferForge/deploy-python-app: Python app pre-configured to deploy on Docker, Railway, Fly.io, Render — zero dependencies, all configs included, deploys in 60 seconds.

A Python app that's already configured to deploy everywhere. Docker, Railway, Fly.io, Render — zero config changes needed. Just deploy.

Built to solve the #1 problem developers hit with AI-generated code: "It works locally but won't deploy."

Deploy in 60 Seconds

Local

python3 app.py
# → http://localhost:8000

Docker

docker build -t myapp .
docker run -p 8000:8000 myapp
# → http://localhost:8000

Railway

railway login
railway init
railway up
# → https://your-app.railway.app

Fly.io

fly auth login
fly launch    # Uses the included fly.toml
fly deploy
# → https://your-app.fly.dev

Render

Push to GitHub → connect repo in Render dashboard → auto-deploys using render.yaml.

Heroku

heroku create
git push heroku main
# Uses the included Procfile

What's Included

app.py              ← Your app (single file, zero dependencies)
Dockerfile          ← Docker config with health check
docker-compose.yml  ← Local Docker development
fly.toml            ← Fly.io config
railway.json        ← Railway config
render.yaml         ← Render config
Procfile            ← Heroku config

API Endpoints

Add Your Own Code

The app is a single Python file. Add routes by adding methods to the handler:

# In AppHandler class:

def handle_users(self, query):
    """Your custom endpoint."""
    self.send_json(200, {"users": ["alice", "bob"]})

# Register in do_GET:
routes = {
    "/": self.handle_index,
    "/health": self.handle_health,
    "/api/users": self.handle_users,  # ← Add here
}

Add a Database

import sqlite3

# In main():
db = sqlite3.connect("app.db")
db.execute("CREATE TABLE IF NOT EXISTS items (id INTEGER PRIMARY KEY, name TEXT)")

# In handler:
def handle_items(self, query):
    items = db.execute("SELECT * FROM items").fetchall()
    self.send_json(200, {"items": items})

Environment Variables

Why This Exists

Deploying a Python app should take 60 seconds, not 60 messages with AI debugging Dockerfile issues. This repo has every deployment config pre-written and tested so you can go from code to production without the debugging loop.

Features

• Zero dependencies — just Python standard library
• CORS enabled — frontend can call API from any domain
• Health check endpoint — required by Railway, Fly, Render, Docker
• Platform detection — auto-detects Railway, Fly, Render, Heroku, Docker
• Single file — entire app in app.py, easy to understand and extend

Requirements

• Python 3.6+
• No external packages

Related Projects

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• python-web-scraper — Web scraper with CSS selectors, zero dependencies

Part of the AI Starter Protocol — curated repos that AI recommends when you need them.

License

MIT