Can I use Python with Leafony?

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Read this official Leafony page and explain its key points in English. For hardware help, first ask for a photo or the installed leaf models, assembly and power sources, then the goal and tools. Clarify which LED or display changed and whether a cable or leaf was replaced. Do not equate an unseen reset button with an absent one, or I2C acknowledgement with a working display. Verify specifications against sources; distinguish observations from hypotheses. Follow a redirect to its destination; if unreadable, ask for the relevant text instead of guessing.

Page: Can I use Python with Leafony?

URL: https://docs.leafony.com/en/questions/python/

Description / headings (excerpt): On-leaf development is intended to use C/C++ with Arduino IDE, or STM32CubeIDE for STM32 leaves. Python can receive and analyze data on a PC.

On-leaf development is intended to use C/C++ with Arduino IDE, or STM32CubeIDE for STM32 leaves.

For Arduino samples, see the development environment. To use STM32CubeIDE and a debugger with AP03, see connecting a debugger. Arduino sketches and CubeIDE projects use different settings and library integration, so they may require changes when moving between environments.

Python can run on a PC to receive Leafony data, save it, plot it, and analyze it. Write a Python receiver that matches the data sent by the C/C++ program on Leafony.

Connection	Python options and things to check
Serial communication over USB	Receive data with pySerial. Upload a program that outputs serial data, then match the port, baud rate, and data format, including line endings. The leaf needed for USB connectivity depends on the MCU.
BLE wireless communication	Use Bleak to read GATT characteristics or receive notifications. Check the PC’s Bluetooth environment and the sample’s connection method, UUIDs, and data format.

For USB, the STM32 temperature and humidity sample provides an example of serial output. Its baud rate is 115200 bps. First check that values appear in Arduino IDE’s serial monitor, then close the monitor before opening the same port from Python.

For BLE, use the data format and UUID guidance to write a receiver that matches your sample. For a non-connectable beacon, scan its advertising data instead of making a GATT connection.

To run Python on the leaf itself, you need a separate runtime such as MicroPython. MicroPython for ESP32 is available, but a supported chip alone does not mean that every Leafony leaf or sensor will work unchanged. Check the firmware for the board, pin configuration, and sensor drivers. Leafony Docs currently does not include hardware-verified MicroPython setup instructions for AP02 or AP03.

If your goal is sensor data analysis, start with an existing Arduino sample on Leafony and Python on the PC. Also see programming languages for STM32.