PythonAnywhere and Blossom take different approaches to Python application deployment. While PythonAnywhere specializes in Python-specific hosting with built-in development tools, Blossom offers a more general-purpose platform that supports Python along with other languages and frameworks.
Here’s a detailed comparison to help you understand the key differences:
PythonAnywhere
- Purpose-built for Python applications and development
- Traditional deployment without containers
- Pre-configured Python environment with common packages
- Built-in support for Django, Flask, web2py and Bottle
- CPU usage limits on different tiers
- Free tier available with subdomain hosting
- Excellent for Python learning and teaching
- Limited to Python-only applications
- Runs on AWS infrastructure
- Good for small to medium Python projects
Blossom
- Language and framework agnostic platform
- Modern UI with git-based deployments
- Ubuntu-based host OS with containerized apps
- Docker and Docker Compose for service orchestration
- Flexible build options: Buildpacks, Nixpacks, Dockerfile, or pre-built images
- 5-day free trial with predictable per-server pricing
- Full server control with SSH access
- Supports all major cloud providers: AWS, Azure, GCP, DigitalOcean, Hetzner, Linode, Vultr, OVHCloud — even on-prem
- No resource usage limits beyond server capacity
- Better application isolation through containers
- Containerization enables consistent environments across development and production
Quick Comparison
| Feature | PythonAnywhere | Blossom |
|---|---|---|
| Primary Focus | Python only | Any language/framework |
| Resource Limits | CPU seconds quota | Server-based only |
| Pricing Model | Usage + Features | Per server |
| Infrastructure | AWS only | Any provider + on-prem |
| Server Access | Limited | Full SSH access |
| Build System | Python-specific | Multiple build options |
| App Isolation | System-level | Container-level |
| Setup Complexity | Simple (Python only) | Simple (any stack) |
Conclusion
PythonAnywhere is a solid option for deploying Python applications. It uses a traditional, non-containerized approach which can be simpler for basic Python apps but may lack the isolation and consistency that containers provide. The free tier is nice for getting started but once you start to scale you’ll need a paid plan which can add up in costs.
Blossom offers a more versatile platform that can handle any type of application — not just Python. It provides more control and flexibility with full SSH access and support for multiple cloud providers, making it ideal for teams who need easy deployment with predictable pricing and without resource quotas.
See How Blossom Compares on Cost
Use the calculator to compare Blossom's predictable pricing against other platforms.
Want a deeper dive? Read our comprehensive comparison of popular deployment platforms.