How to Host a Python Web App for Free in 2026

Python is the most popular programming language in the world, and for good reason. Whether you are building a REST API with FastAPI, a full-stack web application with Django, or a lightweight microservice with Flask, Python gives you the tools to ship fast and iterate faster.

But once your app is built, you hit the next question: where do you host it?

The landscape for free Python hosting has shifted dramatically. Heroku killed its free tier back in 2022, and many developers are still searching for reliable alternatives. The good news is that several platforms now offer generous free tiers for Python web apps.

This guide compares six platforms where you can host a Python web app for free in 2026, walks you through deploying Flask, Django, and FastAPI apps step by step, and shares production-ready Dockerfiles you can copy directly into your projects.

Which Python Framework Should You Choose?

• Flask — Lightweight and flexible. Perfect for APIs, small web apps, and microservices.
• Django — Batteries-included. Built-in ORM, admin panel, authentication, and templating.
• FastAPI — Modern and async-native. Automatic OpenAPI documentation and excellent performance.

Key insight: all three frameworks deploy the same way when you use Docker. You write a Dockerfile, define dependencies in requirements.txt, and run the app with a production WSGI/ASGI server. Any platform that supports Docker containers can run any Python framework.

6 Platforms to Host a Python Web App for Free

1. SnapDeploy

SnapDeploy is a Docker-native container hosting platform. If your Python app runs in a Docker container, it runs on SnapDeploy.

• 100 hours of container runtime (one-time allocation, not monthly)
• Up to 2 containers, 512 MB RAM, 0.25 vCPU each
• No credit card required
• 1-click Flask template deploys in under two minutes

The free tier gives you 100 hours total — not per month. Custom domains start at the Starter tier ($39/mo), and the wake page feature is available on the Hobby plan ($9/mo). No free database; managed databases are a paid add-on. Best for developers who want full Docker control with zero configuration friction.

2. Render

750 hours per month, automatic detection from requirements.txt, free managed PostgreSQL for 90 days, no credit card required. Free-tier services spin down after 15 minutes of inactivity with 30-50 second cold starts. Best for the closest experience to old Heroku.

3. Railway

$5 of free trial credits (one-time), then $1/month subscription. Nixpacks auto-detection, built-in PostgreSQL and Redis. Excellent DX but not truly free long-term. Best for developers willing to spend a few dollars a month.

4. PythonAnywhere

Purpose-built for Python with a free tier that has been running for years. 1 web app, native Python runtime (no Docker), built-in code editor and Bash console, free MySQL database. Limitations: 100 CPU-seconds per day, outbound HTTP restricted to allowed domains, no ASGI support (FastAPI does not work on the free tier). Best for beginners learning Python web development.

5. Google Cloud Run

180,000 vCPU-seconds per month, 360,000 GiB-seconds of memory, 2 million requests. Full Docker support, scales to zero. Requires a Google Cloud account and credit card. Cold starts 2-5 seconds. Best for developers already in the Google Cloud ecosystem.

6. Vercel

Supports Python through serverless functions only. You cannot run a full Flask, Django, or FastAPI application. No persistent processes, WebSockets, or in-memory state. Best for frontend-heavy projects that need a few Python API endpoints.

Python Hosting Comparison Table

Deploy a Flask App on SnapDeploy

The fastest way is the 1-click Flask template: go to snapdeploy.dev/deploy-flask-app, click Deploy, and your app gets a public URL within two minutes. For a custom Dockerfile:

FROM python:3.12-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
EXPOSE 5000
CMD ["gunicorn", "--bind", "0.0.0.0:5000", "--workers", "2", "app:app"]

Deploy a Django App on SnapDeploy

FROM python:3.12-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
RUN python manage.py collectstatic --noinput
EXPOSE 8000
CMD ["gunicorn", "--bind", "0.0.0.0:8000", "--workers", "2", "myproject.wsgi:application"]

Add WhiteNoise to your Django middleware for static files. Use an external managed database service (Supabase, Neon, PlanetScale) and pass the connection string through environment variables.

MIDDLEWARE = [
    'django.middleware.security.SecurityMiddleware',
    'whitenoise.middleware.WhiteNoiseMiddleware',
    # ... other middleware
]

ALLOWED_HOSTS = os.environ.get('ALLOWED_HOSTS', 'localhost').split(',')

Deploy a FastAPI App on SnapDeploy

FROM python:3.12-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
EXPOSE 8000
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "2"]

Set the container port to 8000, and your FastAPI app — complete with auto-generated docs at /docs — will be live. For a detailed walkthrough, see our guide on deploying FastAPI in 60 seconds or the full FastAPI deployment tutorial.

Python Deployment Best Practices

Use a Production Server

Never use flask run, python manage.py runserver, or uvicorn in single-worker mode for production. Use gunicorn for Flask/Django (WSGI) and uvicorn with --workers for FastAPI (ASGI).

Use Slim Base Images

Always use python:3.12-slim instead of the full python:3.12 image. The slim variant is ~150 MB smaller.

Pin Your Dependencies

Use exact versions in requirements.txt: flask==3.1.0. Generate with pip freeze > requirements.txt.

Add a Health Check Endpoint

@app.route('/health')
def health():
    return {'status': 'healthy'}, 200

Create a .dockerignore File

__pycache__
*.pyc
.git
.env
venv/
.venv/

Conclusion

Python web hosting in 2026 offers more options than ever. If you want the simplest path to deployment, SnapDeploy's 1-click Flask template gets you live in minutes. If you need a free database, Render's 90-day PostgreSQL is hard to beat. If you are a beginner who does not want to learn Docker, PythonAnywhere is the most forgiving starting point.

For maximum flexibility and portability, containerize your Python app with Docker. A Dockerfile works on SnapDeploy, Cloud Run, Railway, and any other container platform. Create a free SnapDeploy account and launch your Python app today. Check out our free container hosting guide or Heroku alternatives comparison for more options.