6 free alternatives to PythonAnywhere

Anvil's free plan gives you one developer account, cloud hosting, Python library installation, static file storage, light CPU/RAM, 50,000 data table rows, and 100 MB of data table storage. It also lets you build unlimited apps, which is a big difference if you want to prototype several projects without hitting an app-count limit. Compared with PythonAnywhere, it is more oriented around app building and bundled data tables, while still staying inside Python. It falls short on raw file space and does not offer the same direct SSH-style server access or the same everyday shell-first workflow. Switch here if you want to build more apps and need built-in tables.

• Beats PythonAnywhere: Unlimited apps and built-in data table storage
• Falls short: Less private file storage and no SSH-style workflow
• Who should switch: Switch if you want to prototype multiple Python apps with built-in tables instead of a shell-first hosting setup.

See the full listing

Azure App Service's free plan is meant for trials, experimentation, and learning. It includes shared compute with 60 CPU minutes per day, 1 GB RAM, and 1 GB storage, and it operates on a per-app basis. The free plan also carries no SLA, so it is not aimed at production reliability. Against PythonAnywhere, it gives you a more general web-app hosting path and a familiar managed cloud platform if you are already in Azure. It falls short for Python-first browser coding because it does not include the same in-browser console and editor experience, and its outbound usage model is very different. Pick it if your main need is general app hosting rather than an online Python workspace.

• Beats PythonAnywhere: More general managed app hosting in the Azure ecosystem
• Falls short: No browser-based Python IDE and console workflow
• Who should switch: Switch if you want a managed web-app platform for experimentation and do not need an integrated Python browser IDE.

See the full listing

DigitalOcean App Platform's free tier includes 3 apps with static sites at no cost, automatic HTTPS, custom domains, a global CDN, DDoS mitigation, and deployment from GitHub or GitLab. It also allows unlimited team members on the free tier, which can matter for shared front-end projects. Compared with PythonAnywhere, it is better when you care about static-site delivery, deploy-from-repo convenience, and edge distribution. It falls short because the free tier is centered on static sites and app count, not a Python runtime with consoles, scheduled work, or an online coding environment. Move here if your PythonAnywhere use case is really a small web presence or repo-driven site rather than interactive Python execution.

• Beats PythonAnywhere: Static-site features like CDN, custom domains, and repo deploys
• Falls short: No browser Python consoles or scheduled task style tooling
• Who should switch: Switch if you are serving small sites from GitHub or GitLab and do not need an in-browser Python development environment.

See the full listing

lil'bots free gives you unlimited bot creation, access to thousands of prebuilt bots from the bot hub, and 3,600 execution seconds per month. That is a different shape of free tier than PythonAnywhere: instead of a general Python host with a small daily CPU cap, it is aimed at bot and script workflows with a monthly execution allowance. It falls short if you need a traditional Python web app, because the free tier does not describe web hosting, consoles, SSH, or file storage in the same way. Choose it if your project is really a bot or script you want to run on a monthly execution budget rather than a hosted Python website.

• Beats PythonAnywhere: Much larger monthly execution allowance for bots and scripts
• Falls short: Not a general Python web-hosting workspace
• Who should switch: Switch if your code is mostly bots or automations and you care more about execution time than hosting a Python website.

See the full listing

OneCompiler's free plan gives you unlimited code executions and 25 AI credits per day. That makes it a good fit for quick coding, testing snippets, and classroom-style use where you want to run code often without thinking about a per-day CPU cap. Compared with PythonAnywhere, it is stronger as a browser-based editor and execution environment for many languages. It falls short because it is not a Python hosting platform with a persistent web app, console sharing, or file-backed deployment workflow. Use it if you mainly need an online compiler and code runner, not a place to host and operate a Python app.

• Beats PythonAnywhere: Unlimited code executions instead of a daily CPU cap
• Falls short: No hosted Python web app or deployment workflow
• Who should switch: Switch if you mainly need to execute and test code in the browser rather than deploy a Python app.

See the full listing

PHPSandbox's free plan includes 10 notebooks, 5 minutes timeout for notebooks, 1 GB storage per notebook, 1 GB memory per notebook, public repositories, and community support. That is more generous on per-project memory and storage than PythonAnywhere's starter limits, and the notebook model can suit project-by-project experimentation. It falls short because it is PHP-focused, so it is not a natural replacement for Python-specific hosting, consoles, or Python package workflows. Pick it only if you are willing to move off Python and want a browser sandbox with clear per-notebook resource limits.

• Beats PythonAnywhere: Higher per-project memory and storage in a notebook model
• Falls short: PHP-only rather than a Python hosting environment
• Who should switch: Switch if your work has moved to PHP notebooks and you want more per-project room than PythonAnywhere's free tier gives.

See the full listing