# Py5 Thonny plug-in

**URL:** https://discourse.processing.org/t/py5-thonny-plug-in/31902
**Category:** Processing.py
**Created:** [August 24, 2021, 11:01pm UTC](https://discourse.processing.org/t/py5-thonny-plug-in/31902 "2021-08-24T23:01:06Z")
**Posts on this page:** 1
**Page:** 1

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### Author: ![tabreturn](https://yyz2.discourse-cdn.com/flex036/user_avatar/discourse.processing.org/tabreturn/32/3697_2.png) [@tabreturn](https://discourse.processing.org/u/tabreturn)
#### Post date: [August 24, 2021, 11:01pm UTC](https://discourse.processing.org/t/py5-thonny-plug-in/31902/1 "2021-08-24T23:01:06Z")

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If you’re keen to explore [py5](https://py5.ixora.io/) as a Python-based Processing alternative, then the Thonny IDE is a great way to do so. I’ve created a plug-in to simplify the setup involved. Here’s the GitHub repo with the installation steps:

[https://github.com/tabreturn/thonny-py5mode](https://github.com/tabreturn/thonny-py5mode)

 ![06-run-imported-mode](https://canada1.discourse-cdn.com/flex036/uploads/processingfoundation1/original/2X/a/a4ef0e7782fc7646dd8ff4767a7ed1a13dced99b.png)

If you’re not aware of it, py5 brings all sorts of exciting new possibilities to people writing Processing code using Python – support for Python 3, support for libraries with C-extensions, like NumPy, and more.

I presented on the topic at [CC Fest](https://ccfest.rocks/). If you’d like to watch the recording, you can find it here (along with the resources for the session) –

[https://github.com/tabreturn/cc-fest-py5](https://github.com/tabreturn/cc-fest-py5)