What’s the Cheapest Way to Host a Small Python Weather Service?

Keep the current weather logic and put a thin API layer around it rather than rewriting everything. If the service doesn’t need to be available every second, a scheduled job or cron task could fetch and cache the result periodically, which lowers resource usage. Container-based hosting is another option, but it adds complexity that probably isn’t necessary for a first deployment.

A low-cost VPS is probably the most flexible choice. Small virtual servers are often available for around $5 per month, and you can run your Python app continuously, install whatever packages you need, and expose it through a simple web API. It requires a bit more setup and basic server maintenance, but it gives you a normal Linux environment.

Serverless options such as AWS Lambda, Google Cloud Functions, or Cloudflare Workers can be very inexpensive when the service only receives occasional requests. You could wrap the existing weather logic in a small API endpoint instead of running a full server. Cloudflare may feel simpler to start with than the larger cloud platforms, although you’ll need to check whether your Python code fits the platform’s runtime requirements.

PythonAnywhere is worth checking out for a personal project like this. Its free tier can be enough for small applications, though it may have limits on outbound connections, scheduled tasks, or traffic. It’s beginner-friendly and avoids most of the administration involved with managing a VPS.