Anvil vs PyScripter

Anvil is an online IDE for building and deploying full-stack web apps with Python. It pairs a drag-and-drop interface designer with client-side and server-side Python, and includes Data Tables, a built-in database backed by Postgres. Apps can be published to Anvil hosting or exported to run on the open-source Anvil App Server. Developers can create HTTP APIs and connect external Python code through Uplink. Built-in user authentication and app email support cover sending and receiving messages. Anvil documentation lists integrations for Google, Microsoft Entra ID, Facebook, Stripe and Tableau, and says Python SDKs can connect other services. Apps adapt to phones and tablets; the FAQ describes them as installable Progressive Web Apps for Android, iPhone and Chromebook, with offline operation. The Free plan includes unlimited apps and cloud hosting, but provides 50,000 Data Table rows and 100 MB of Data Table storage. Anvil says its hosted infrastructure is in London on AWS eu-west-2. It also says its API removes common flaws such as injection, XSS and CSRF.

PyScripter is a free, open-source Python IDE for Windows, with an editor, interpreter, debugger, testing tools, and refactoring features. The editor provides syntax highlighting, code folding, completion, call tips, and syntax checks while code is being written. Its integrated debugger supports remote sessions, conditional breakpoints, call stacks, variables, watches, thread debugging, and post-mortem analysis. A unit-testing interface, automatic test generation, and tools to organize imports, rename items, or extract functions support code maintenance. The file explorer integrates version control through Tortoise Git, Tortoise SVN, or Tortoise CVS, and external tools can include PyLint, TabNanny, and Profile. Built-in LLM assistance includes editor help and chat, with OpenAI, Gemini, Grok, DeepSeek, and local models supported. OpenAI use requires a paid plan or pay-as-you-go credit; light Gemini use is free, and Ollama runs local models. Python 3.8 or later must be installed. The 64-bit build requires 64-bit Windows and Python; the 32-bit build requires 32-bit Python. Portable zip packages need no installation, and the project is MIT-licensed.