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Python Hosting
Done Right

Deploy your Python applications, bots, and scrapers to a managed Docker platform. Includes PostgreSQL, Redis, and persistent volumes out of the box. No server management required.

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# docker-compose.yml
services:
  app:
    image: my-python-app
    command: python main.py
    environment:
      - API_KEY=${API_KEY}
  db:
    image: postgres:15
    volumes:
      - db_data:/var/lib/postgresql/data
  • 🇪🇺 Hosted in Germany, GDPR by default
  • 🐳 Run Docker apps (Compose supported)
  • 🗄️ Built-in MySQL, Postgres, Redis & volumes
  • 🔐 HTTPS, metrics, and isolation per project
  • 💳 Per-project cost tracking · from €2.5/month

What "Python hosting" means today

Python is versatile. You might be hosting a web application (Django, FastAPI), a Discord bot, or a scheduled data scraper. Traditional web hosting often fails to support this diversity.

Web Apps vs. Background Processes

Web apps need to listen on a port (WSGI/ASGI), while bots and scrapers are often background processes that run continuously or on a schedule. A modern Python hosting platform must support both patterns without complex configuration.

Why Docker is the standard

Docker ensures your Python environment (versions, system libraries like libpq-dev or ffmpeg) is consistent from development to production. It solves dependency hell and makes your application portable across any infrastructure.

How Python apps are typically hosted

Robust Python deployments share common architectural traits:

  • Containers: Code runs in isolated environments defined by a Dockerfile and requirements.txt.
  • Database Separation: Data lives in a dedicated service (PostgreSQL, MySQL), not inside the application container.
  • Environment Variables: Secrets (API keys, tokens) are injected at runtime, keeping your code secure.
  • Persistent Storage: Bots often need to save state (SQLite, JSON files) or logs to a volume that survives restarts.

Python hosting on Hostim.dev

We provide a managed platform that adapts to your Python workload.

Docker or Git Deploy

Push your code or a pre-built Docker image. We handle the build and deployment process automatically.

Built-in Databases

Spin up managed PostgreSQL, MySQL, or Redis instances alongside your app with a single click.

Persistent Volumes

Mount volumes for your bot's state or scraper's data. Files persist across deployments and restarts.

EU Hosting

All data and workloads are hosted in Germany (Falkenstein), ensuring low latency and GDPR compliance.

Is there free Python hosting?

"Free" hosting is popular for hobby projects but comes with limitations:

  • Sleeping Apps: Many free tiers spin down your app after inactivity, which kills bots and makes web apps slow to start.
  • Resource Limits: Low RAM limits can cause crashes when installing heavy dependencies (like pandas or numpy).
  • Ephemeral Filesystems: Data written to disk is often lost on restart, which is fatal for simple file-based bots.

Hostim.dev offers a preview tier for testing, but our platform is built for reliable, always-on production workloads with predictable pricing.

Python web hosting vs. App hosting

Shared Web Hosting: Often designed for PHP. Python support is usually an afterthought (via cPanel), offering old versions and no ability to run background processes or custom start commands.

App Hosting (PaaS): Designed for modern applications. Provides full control over the runtime, allowing you to run web servers, worker queues, or standalone scripts. This is what Hostim.dev provides.

Is Hostim.dev a good fit?

Who it is for

  • Developers deploying Flask, FastAPI, or Django apps via Docker.
  • Creators of Discord/Telegram bots needing 24/7 uptime.
  • Data engineers running scheduled scrapers or processing tasks.
  • Teams needing EU-based hosting for GDPR compliance.

Who it is not for

  • Users looking for "cPanel" style shared hosting.
  • Simple static sites (use Vercel/Netlify/GitHub Pages).
  • Developers who want to manually manage OS updates on a VPS.

How to host a Python app

The practical workflow on a container-based platform.

  • Create a project: A project groups your Python app, databases, and storage in an isolated environment.
  • Add managed services: Create a PostgreSQL or MySQL database, Redis if needed, and any persistent volumes for data or uploads.
  • Prepare your container: Package your app in a Docker image that installs dependencies (for example fromrequirements.txt or pyproject.toml), or connect a Git repository with a Dockerfile. Hostim builds the image if needed.
  • Create the app: Create an app from the image or repo, then attach the databases and volumes to it.
  • Configure environment variables: Define API keys, database credentials, and runtime configuration in the dashboard.
  • Deploy and update: Hostim starts the container and keeps it running. Updates are done by redeploying or rebuilding the app, either manually or via CI.

Ready to deploy?

Get your Python application running in minutes.

Deploy your Python app

Frequently asked questions

Which Python frameworks does Hostim support?

Any Python framework that runs in a container: Django, Flask, FastAPI, Starlette, Sanic, Tornado, Pyramid. The container CMD decides which server runs (Gunicorn, Uvicorn, Hypercorn, Daphne).

Can I choose the Python version?

Yes. The Python version comes from your Dockerfile base image (python:3.12-slim, python:3.11-bookworm, etc.). Hostim does not pin a runtime version on you.

How much does Python hosting cost on Hostim?

A typical Python deployment on Hostim is one app container plus one managed database. The app starts at €2.50/month and the database is free on the included tier, so a small production stack runs from €2.50/month.

Where is my Python app hosted?

In Germany. Hostim apps and databases run on bare-metal servers in Falkenstein, with no AWS, GCP or Azure dependency — so data stays in the EU and GDPR compliance stays simple.

Can I run a Jupyter, ML inference or scheduled job on Hostim?

Yes. Long-lived processes run as apps; scheduled jobs run as cron apps. GPU is not offered — Hostim is CPU-based bare metal.