A Ruby wrapper for the Telegram Bot API, providing a clean interface to build Telegram bots.
telegram-bot-ruby is a Ruby gem that provides a complete wrapper for the Telegram Bot API. It allows developers to build feature-rich Telegram bots by offering a clean Ruby interface to all API methods, handling updates via long polling or webhooks, and supporting advanced features like custom keyboards and file uploads.
Ruby developers who want to create Telegram bots for automation, customer support, notifications, or interactive applications without dealing with low-level HTTP API details.
Developers choose this library because it provides full, type-safe coverage of the Telegram Bot API with an idiomatic Ruby DSL, automatic parsing of API updates into Ruby objects, and flexible configuration for proxies, adapters, and logging.
Ruby wrapper for Telegram's Bot API
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Implements every Telegram Bot API method and data type as Ruby objects, ensuring compatibility with all features, from inline queries to file uploads, as shown in the comprehensive usage examples.
Supports multiple Faraday adapters and proxy settings, including SOCKS5, allowing bots to work in restricted environments or with custom connections, detailed in the proxy and adapter configuration sections.
Provides built-in types for custom and inline keyboards with callbacks, enabling interactive bot interfaces without manual JSON parsing, illustrated in the keyboard examples.
Facilitates uploading photos, videos, and other files using Faraday's multipart support, abstracting away low-level HTTP details, as demonstrated in the file upload section.
Requires developers to implement their own webhook callback server, as admitted in the README, adding complexity and deployment overhead compared to libraries with built-in webhook handling.
Acts as a thin wrapper over the raw API, so complex bot logic like conversation management or middleware must be implemented separately, which can lead to boilerplate code for advanced use cases.
Tied to Ruby's performance characteristics and library ecosystem, which may not scale as well for high-throughput bots compared to languages like Go or Node.js, and lacks specialized bot tooling found in other communities.