PyBox vs PyScripter
PyBox
py-box.netlify.appPyScripter
github.comSide by side
| Figure | PyBox | PyScripter |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| Plans published | 0 | 1 |
| Spec score · Python IDEs | 6.8 (#25) | 8.2 (#6) |
| Editor | The Python editor offers syntax highlighting and autocompletion. | Its editor offers syntax highlighting, code folding, code completion, call tips, and syntax checking as you type. |
| License | The project is open-source under the MIT License. | PyScripter is distributed under the MIT License, which permits use, copying, modification, distribution and commercial use. |
| Product | PyBox is a browser-based Python development environment for writing, running, and managing code. | PyScripter is a free, open-source Python integrated development environment. |
| Support | The README directs users with issues or questions to GitHub Issues. | The project links to GitHub Discussions for support. |
Plans
In their own words
PyScripter
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.