A Telegram Bot API library written in V, implementing all methods from API version 4.8.
vgram is a Telegram Bot API library written in the V programming language. It provides a complete implementation of the Telegram Bot API version 4.8, allowing developers to build and interact with Telegram bots programmatically. The library maps directly to Telegram's HTTP-based API methods, enabling bot creation, message sending, and other bot functionalities.
Developers using the V language who want to create Telegram bots or integrate Telegram messaging into their applications. It's also suitable for those familiar with the Telegram Bot API seeking a V-specific client library.
vgram offers a native V implementation of the Telegram Bot API with full method coverage, simple syntax that mirrors the API, and the performance benefits of V. It's a lightweight, direct alternative to using generic HTTP clients or other language-specific Telegram libraries.
Telegram Bot library written in V.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Implements every method from Telegram Bot API version 4.8, ensuring complete access to Telegram's features as stated in the README.
Uses snake_case for methods and arguments, mirroring the Telegram API directly, which simplifies usage for developers familiar with the official docs.
Allows setting a custom Telegram API endpoint via Bot.endpoint, useful for testing or private deployments, as highlighted in the README.
Provides a no-frills interface that maps directly to HTTP calls, reducing overhead and keeping close to the original API structure, per the project philosophy.
The README admits that due to Vlang issues, some parts of the code are commented in types.v, indicating potential instability or incomplete features.
Documentation is primarily linked to the Telegram website or source code comments, lacking in-depth tutorials or examples beyond basic usage.
Being tied to V, a less common language, limits community support, tooling, and integration compared to popular alternatives like Python or JavaScript.