This library provides a microPython interface for for a subset of the Telegram Bot API. Have been tested on an ESP32 but should work just fine on an ESP8266. Further tests have been done on RP2040 with successful results.
The main features of jordiprats/micropython-utelegram are: Communication APIs.
Open-source alternatives to jordiprats/micropython-utelegram include: antirez/micropython-telegram-bot — This code implements a very simple non-blocking Telegram bot library for MicroPython based MCUs such as the ESP32 and… fonoster/fonoster — Fonoster is a conversational AI framework and multi-tenant communications platform as a service. It serves as a… gabrielebarola/telegram-upy — Telegram API wrapper for micropython, built for ESP32, cannot verify support for other MCUs. jacklinquan/micropython-basicdweet — [paypalimg]: https://github.com/jacklinquan/images/blob/master/paypaldonatebadge.svg [paypallink]:… jacklinquan/micropython-cryptodweet — [paypalimg]: https://github.com/jacklinquan/images/blob/master/paypaldonatebadge.svg [paypallink]:… alvarowolfx/esp32-youtube-display — Fetch data from an Youtube channel using Google API's. For ease of usage and development I decided to use MicroPython…
This code implements a very simple non-blocking Telegram bot library for MicroPython based MCUs such as the ESP32 and similar microcontrollers.
Fonoster is a conversational AI framework and multi-tenant communications platform as a service. It serves as a programmable voice gateway and SIP telephony platform, enabling the creation of voice-based assistants and automated communication workflows using large language models. The project distinguishes itself through a vendor-agnostic speech integration engine that abstracts speech-to-text and text-to-speech providers. It features a multi-tenant architecture that isolates telephony resources and user identities into distinct organizational workspaces. The system covers a broad range of t
Telegram API wrapper for micropython, built for ESP32, cannot verify support for other MCUs
Fetch data from an Youtube channel using Google API's. For ease of usage and development I decided to use MicroPython running on an ESP32 Wifi board. The TFT Display used was one based on ST7735R driver, but this can easily be ported to other by just using different drivers available here.