Python hosting 2026

Why it's almost always a VPS. Classic shared hosting is built for PHP; Python runs there only via Passenger/WSGI if the provider explicitly supports it. So by default you take a Linux VPS with root: install the Python version you need (3.11+), isolate dependencies in venv (or poetry/uv) and stop depending on the host's system packages.

WSGI or ASGI depends on the framework. Django and Flask are classically run via gunicorn (WSGI); FastAPI and anything async via uvicorn or gunicorn with uvicorn workers (ASGI). Keep the process alive with a systemd unit or supervisor, and put Nginx in front as a reverse proxy on 80/443 with SSL. Worker count is roughly 2×CPU+1 — hence the core requirements.

Memory and CPU for the task. A typical Django/Flask backend starts from 1 GB RAM, but the real numbers come from the project: Celery queues, caching, several workers — take 2 GB+. Data processing, scrapers or ML inference (pandas, torch) can eat 4–8 GB and become CPU-bound, so for those pick plans with dedicated cores rather than the cheapest shared VPS.

What to look for. Root access and the ability to install system libraries (often needed to build pip wheels), NVMe for fast dependencies and migrations, a current distro (Ubuntu 22.04/24.04) and convenient deploys — git pull + service restart or CI. If you want a quick prototype start without server admin, also see PaaS in the /hosting/paas category, and return to a VPS for steady load to get predictable pricing.