PythonAnywhere review

PythonAnywhere is a browser-based place to write and run Python code, then host a Python web app without setting up or maintaining a web server yourself. You can work in its web editor, open console sessions, upload or download files, and access source repositories using Git, Mercurial, or Subversion.

The platform offers quickstart installers for Django, web2py, Flask, and Bottle; its docs say other WSGI frameworks are supported. The hosted environment includes Python versions and libraries such as NumPy, SciPy, and BeautifulSoup. You can also schedule scripts to run periodically.

There’s a free Beginner plan, a Developer plan listed at $10 per month, and configurable Custom plans. Annual billing works out to $8.33 per month for Developer, according to the pricing page; the annual subscription charges for 10 months. The core tradeoff is straightforward: less server setup, in exchange for working within PythonAnywhere’s plan limits and environment.

PythonAnywhere’s main advantage is reducing deployment setup. The product provides a ready-to-use Python environment in a browser, with web hosting included, so a small app can be written, run, and hosted without separately configuring a web server. That is useful for learning, prototypes, and modest sites where managing infrastructure would be unwanted work.

The platform covers a practical set of Python workflows:

• Browser-based editing and console sessions, plus file uploads and downloads.
• Quickstart installers for Django, web2py, Flask, and Bottle; other WSGI frameworks are supported.
• Preinstalled Python versions and libraries including NumPy, SciPy, and BeautifulSoup.
• Scheduled tasks for running scripts periodically.
• Repository access through Git, Mercurial, or Subversion.

The Beginner plan costs nothing and includes one web app, up to two consoles, 100 CPU-seconds per day, and 512MB of private storage. Developer is $10 monthly or $8.33 per month with annual billing, and adds three web workers, 5,000 CPU-seconds per day, 5GB of private storage, and 20 scheduled tasks. One r/Flask user described the service as simple and reasonably priced, though that experience is not a guarantee for every app.

The free plan is constrained: it allows one web app, up to two consoles, 100 CPU-seconds per day, and 512MB of private storage. Developer raises those caps, but still limits you to one web app, three web workers, 5,000 CPU-seconds per day, 5GB of private storage, and 20 scheduled tasks. Custom plans are listed at $10–$500 per month, with capacity up to 20 web apps and 100,000 CPU-seconds per day; disk space is chosen by the customer. The price of additional CPU seconds is not published.

Some limits are about fit, not just quotas. A user in an r/Flask thread said an older PostgreSQL version prevented them from using pgvector and reported no support for threading or Celery. In another thread, a free-tier user said an outbound internet whitelist blocked calls to external APIs. Those are user reports, not a complete statement of current platform policy.

Reliability complaints also appear in the discussions: one r/django poster said servers were frequently down and considered switching. Reddit reports are anecdotal, but if your app needs background workers, external API access, or more control over its database and runtime, check those requirements before moving in.

PythonAnywhere lists a free Beginner plan, a Developer plan at $10 per month, and Custom plans from $10 to $500 per month. The advertised $8.33 monthly price for Developer applies when you pay annually: annual subscriptions cost 10 months’ fees for 12 months of service. Paid plans are billed monthly and can be cancelled anytime, according to the pricing details.

Beginner is limited to one web app, two consoles, 100 CPU-seconds per day, and 512MB of private storage. Developer raises that to one app, three web workers, 5,000 CPU-seconds per day, 5GB of storage, and 20 scheduled tasks. That’s a meaningful capacity increase, but not a way to host multiple apps: teams can configure up to 20 only on Custom.

Custom includes up to 100,000 CPU-seconds per day, with customer-selected disk space and as many web workers as needed. Extra CPU seconds are available, but their price is not published. Check your expected workload before choosing: the free tier’s daily CPU limit is especially tight.

Moving a small Flask or Django app should mean bringing your code and dependencies into PythonAnywhere’s environment, then setting up its web app and any scheduled tasks. The platform offers browser-based file transfers and Git, Mercurial, and Subversion access; its quickstarts cover Django, Flask, web2py, and Bottle. Those options give you ways to move code in and out, but the published materials don’t describe a one-click migration or full data-export process.

The main switching risk is capacity and platform fit, not a proprietary language: PythonAnywhere supports other WSGI frameworks, but its stated limits include one Developer web app, 20 scheduled tasks, and no support for projects requiring Celery or threading. The verdict also flags unrestricted outbound requests as a poor fit. Check those requirements before moving an app, and plan to recreate its hosting setup elsewhere if you leave. We don’t have Reddit posts or comments in the published material, so we can’t substantiate what users there say typically makes them leave.