Python hosting
Python hosting for apps, APIs and bots
Python projects rarely fit neatly on a PaaS: scrapers need long runtimes, bots need to stay online, and data jobs need RAM. A VPS runs any Python version with any package, including ones with system dependencies, around the clock.
Deploy web apps behind Gunicorn or Uvicorn with Nginx, run bots and workers as systemd services, and schedule jobs with cron.
Any Python version
Use the system Python, pyenv or uv. Your choice.
Long-running jobs
No request timeouts: scrapers, workers and bots run as long as they need.
Plenty of RAM
Up to 96 GB for data processing.
Unmetered traffic
Serve and sync without bandwidth bills.
Plans
Ripple
- vCPU 2
- RAM 4 GB
- SSD 40 GB
- Traffic Unmetered
- Port 500 Mbps
- DDoS protection Included
- Daily backups Included
Wave
- vCPU 4
- RAM 8 GB
- SSD 75 GB
- Traffic Unmetered
- Port 1 Gbps
- DDoS protection Included
- Daily backups Included
Swell
- vCPU 6
- RAM 12 GB
- SSD 100 GB
- Traffic Unmetered
- Port 2 Gbps
- DDoS protection Included
- Daily backups Included
Surge
- vCPU 8
- RAM 24 GB
- SSD 200 GB
- Traffic Unmetered
- Port 3 Gbps
- DDoS protection Included
- Daily backups Included
Tsunami
- vCPU 16
- RAM 64 GB
- SSD 350 GB
- Traffic Unmetered
- Port 2.5 Gbps
- DDoS protection Included
- Daily backups Included
Maelstrom
- vCPU 24
- RAM 96 GB
- SSD 400 GB
- Traffic Unmetered
- Port 3 Gbps
- DDoS protection Included
- Daily backups Included
Frequently asked questions
How do I run a Python app in production?
Web apps run under Gunicorn (Django/Flask) or Uvicorn (FastAPI) behind Nginx. Bots and workers run as systemd services so they restart automatically.
Can I use GPU libraries?
Our servers don't have GPUs, but CPU-based libraries like NumPy, pandas and scikit-learn work great.
Ready to buy?
Pick your plan and location. Your server is usually online within minutes.
You'll create a free account at checkout to manage your server, invoices and support anytime.