Supported stacks

Python hosting
on Shipped.

Turn your Python project into a service people can reach or a job that runs without your laptop. Shipped handles the infrastructure around it.

Choose how your Python project runs

A web app needs an HTTP server, a worker needs a job-processing loop, and an automation may only need a schedule. Deploy each with the right start command and dependencies. Shipped gives these workloads a place to run while you keep the Python libraries that make your project useful.

Make dependencies part of the deployment

Include the dependency definitions your project uses and keep its runtime requirements explicit. When a Python library relies on system packages or native extensions, package those with the application in a container. That turns a working local environment into a repeatable deployment instead of an undocumented machine setup.

Connect persistent data and integrations

Use PostgreSQL for records, object storage for input files and results, and secrets for private service credentials. A separate staging environment gives data processing changes somewhere to run against test inputs. Logs help you follow the execution after the project leaves your development machine.

A little more detail

Questions about Python?

Can I deploy a Python script without making it a website?

Yes. Use a scheduled job for a script that runs periodically, or a background worker for continuous processing. It does not need a public HTTP endpoint.

Can I include non-Python dependencies?

Yes. A container can package the system libraries and tools your Python app needs. Test that image with the same runtime configuration you intend to deploy.

From your workspace to the web

Ready to ship your app?

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