Python Hosting in France - Django, Flask, FastAPI
French Linux VPS tuned for Python: Django, Flask, FastAPI, Gunicorn, PostgreSQL.
Starting at €4.99/mo
Introduction
Host your Python applications with By-Hoster. Linux KVM VPS, Python 3.10/3.11/3.12 installable via pyenv or apt, with virtualenv, pip and poetry ready.
Typical stack: Gunicorn + Nginx reverse proxy + PostgreSQL. Works with Django, Flask, FastAPI and Starlette.
Included features
Python 3.10-3.12
Multiple versions via pyenv or system packages.
Gunicorn / uWSGI
Production-grade WSGI servers.
PostgreSQL 15+
Python-friendly database.
Frequently asked questions
Classic stack: Django + Gunicorn + Nginx + PostgreSQL + Redis (cache/celery). All of it can be installed in a few commands on our VPS.
Yes. Install Python 3.11+, FastAPI and Uvicorn via pip. Run in production with Uvicorn + Gunicorn worker class uvicorn.workers.UvicornWorker behind Nginx.
Install pyenv: curl https://pyenv.run | bash, add the exports to ~/.bashrc. List versions: pyenv install --list. Install: pyenv install 3.12.7. Set global: pyenv global 3.12.7, or per project: pyenv local 3.11.10. Lets you switch between Python 3.8 (legacy project) and 3.13 (new project) without conflict.
Create /etc/systemd/system/myapp.service with ExecStart=/path/to/venv/bin/gunicorn ..., User=myuser, WorkingDirectory=/var/www/myapp, Restart=always. Enable: systemctl enable --now myapp. Logs: journalctl -u myapp -f. Our support ships templates for Django, FastAPI, Flask and Celery worker.
Yes. Install Redis or RabbitMQ as a broker (apt install redis-server), then pip celery[redis]. Run the worker via systemd: celery -A myapp worker --loglevel=info. For scheduled tasks, add celery beat. Great for email sending, image processing, ML jobs, batch scraping.
PostgreSQL 15+ (recommended for Django and FastAPI): better JSON support, strict ACID transactions, advanced types. MySQL/MariaDB: if you come from PHP or have legacy. Both install via apt and work with standard ORMs (Django ORM, SQLAlchemy, Tortoise ORM). Our support recommends PostgreSQL for new Python projects.