We may earn a commission if you buy through links on this page. It never changes a score or a ranking. How we make money
PythonAnywhere is an accessible way to host small Flask or Django apps, but one Reddit thread describes a hard stop: an outdated PostgreSQL version that prevented using pgvector, plus no threading or Celery support. The alternatives below range from managed app platforms to cloud infrastructure. Their listed starting prices run from $4 to $25, with some offering free plans. Before switching, confirm that your target platform supports the database version and background-work setup your app needs.
01Why people leave PythonAnywhere
Database version blocks needed features
One Flask developer on Reddit said PythonAnywhere’s PostgreSQL version was too old for pgvector. Check the destination’s database version before moving data.
No threading or Celery
The same thread reports no support for threading or Celery. If your app depends on either, verify the new platform’s supported deployment setup first.
Managed simplicity can become restrictive
Some commenters favored moving to a VPS for more control; another said Heroku’s abstractions eventually became something to fight. More control can mean more setup.
02The alternatives, ranked by fit
- Managed app workflows
RenderRenderRender is the closest fit if you want managed deployment rather than taking on a VPS. Its listing highlights deployments for several app components, pull request previews, workflows, and databases. That makes it worth comparing for a Flask or Django project that has outgrown PythonAnywhere, while you verify database versions and background-work support. The listed starting price is $25, with a free plan.
Trade-off: Budget for compute on top of the workspace plan.
7.8/10from
$25/mofree plan - One cloud account
DigitalOceanDigitalOceanDigitalOcean is a better direction if PythonAnywhere’s managed environment is the constraint and you want a broader cloud account for apps and other workloads. Its listing calls out app deployment and small projects starting on low-cost compute. Reddit commenters mention trying a DigitalOcean VPS, but also describe setup complexity; check what operational work you’re prepared to own. The listed starting price is $4, with a free plan.
Trade-off: Add-ons and usage can raise the bill.
6.8/10from
$4/mofree plan - Managed app hosting
HerokuHerokuHeroku may suit teams that still want managed app infrastructure rather than administering a server. Its listing highlights Heroku Postgres and Redis, and personal or low-traffic apps as a fit. But one commenter in the PythonAnywhere alternatives thread said Heroku’s abstractions eventually became frustrating. The listed starting price is $5; always-on service starts at $7/month.
Trade-off: Always-on service starts at $7/month; larger plans get expensive.
5.8/10from
$5/mo - Visual infrastructure controls
RailwayRailwayRailway is worth considering if you want visual infrastructure controls and built-in networking instead of PythonAnywhere’s simpler, more constrained setup. Its listing also names small apps and pull-request previews as fits. Treat it as a candidate, not a guaranteed fix: check whether its current plans cover your app’s database and background-work needs. The listed starting price is $1, with a free plan.
Trade-off: Check usage costs and outage reports before moving production workloads.
6.0/10from
$1/mofree plan - Low-cost small apps
Hetzner CloudHetzner CloudHetzner Cloud suits price-conscious teams willing to manage more of their own setup. Its listing names small apps, services, and test servers with a monthly cap as target workloads, and gives a $5.99 starting price. Compared with PythonAnywhere, consider it for more infrastructure flexibility, but confirm deployment and database requirements before migrating; the available plan details are limited.
Trade-off: Published plan details are limited beyond entry tiers.
6.9/10from
€5.99/mo - Flexible cloud infrastructure
VultrVultrVultr is an option if the priority is flexible cloud infrastructure, not another simplified Python-specific host. Its listing identifies hourly compute, GPU, and bare metal workloads among its strengths. That broader infrastructure may suit a team willing to choose and manage its setup, but the published pricing information gives no starting price. Check plan details and support expectations before committing.
Trade-off: Starting price is not published; check support expectations.
7.7/10from
Custom
03Side by side
| Tool | Score | From | Free plan | Best for |
|---|---|---|---|---|
| 7.2 | $8.33/mo | Yes | Beginners learning Python in a browser | |
| 7.8 | $25/mo | Yes | Teams deploying several app components | |
| 6.8 | $4/mo | Yes | Developers who want one cloud account | |
| 5.8 | $5/mo | No | Personal and low-traffic apps | |
| 6.0 | $1/mo | Yes | Developers wanting visual infrastructure controls | |
| 6.9 | €5.99/mo | No | Small apps and services | |
| 7.7 | Custom | No | Developers needing flexible cloud infrastructure |
Questions people ask
Does PythonAnywhere have a free plan?
The pricing page describes PythonAnywhere as having a free plan and gives a starting price of $8.33. It does not include the free plan’s limits or the conditions behind that price, so check PythonAnywhere’s current pricing page before deciding whether the free tier fits your app.
What are some good alternatives to Flask?
Flask is a web framework; PythonAnywhere and the services on this page are hosting options, not Flask replacements. If your problem is hosting limits, compare Render, DigitalOcean, Heroku, Railway, Hetzner Cloud, and Vultr. Confirm database and background-work support before moving a Flask app.
Is PythonAnywhere safe to use?
The information available here is not enough to assess PythonAnywhere’s security. One Reddit commenter said they worried about security while considering a VPS, where more setup can fall to the operator. Compare each provider’s security documentation and your own responsibilities before choosing a destination.
