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1Fix the driver behind crashes, sound loss and screen glitches2Repair Windows errors before they cause bigger problems3Scan for outdated or missing drivers - takes under a minuteThe right Telegram API library depends first on what you are building: use a Bot API library for a server-side bot, and consider TDLib or an MTProto library when you need to build a Telegram client with broader user-account functionality. Bot libraries are generally the simplest starting point; TDLib handles much of the client-side plumbing, while MTProto libraries offer lower-level control and more protocol decisions.
Choose the API layer before choosing a library
Telegram offers three API types, but they serve different jobs. The Bot API is an HTTPS interface for building bots. Telegram’s Telegram API and TDLib are intended for customized Telegram clients. The Gateway API is for sending verification codes, not for building a general-purpose bot or client.
| API layer | Best suited to | What to expect |
|---|---|---|
| Bot API | Server-side bots | HTTPS requests authenticated with a bot token. A language-specific library can make requests and handle responses, while your application supplies any persistence or business logic it needs. |
| TDLib | Custom Telegram clients | Telegram’s cross-platform client library, which handles networking details, encryption, local data storage, update ordering, and asynchronous requests. |
| MTProto libraries | Custom clients or applications needing lower-level Telegram client capabilities | Expose more protocol-level control than TDLib, so you take on more decisions around the protocol and client authentication. |
| Gateway API | Sending verification codes | A distinct API for a focused verification-code use case; it is not a substitute for the Bot API or a full client library. |
Telegram describes the Bot API as an HTTP-based interface for developers building Telegram bots. Bot API libraries are wrappers around this bot-focused interface; they do not turn a bot into a full Telegram client.
When a Bot API library is the right choice
Choose a Bot API library when your application acts as a bot and the Bot API’s capabilities fit the task. Telegram documents Bot API requests as HTTPS calls in this form: https://api.telegram.org/bot<token>/METHOD_NAME. The bot token is the credential used for these requests.
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A wrapper can provide language-appropriate methods and response handling, but it does not remove the need to design the application around the Bot API. In particular, decide how your service will receive updates, manage application state, and store any information that must persist. Lighter Bot API wrappers commonly leave persistence to the application.
When to use TDLib or an MTProto library
TDLib: a managed foundation for a custom client
TDLib is Telegram’s official, cross-platform, fully functional client library. It takes care of networking implementation details and encryption, can maintain local message and chat data, orders updates, and exposes fully asynchronous interfaces. That makes it a candidate when you need to build a client rather than a bot and prefer a library that handles much of the underlying client work.
Rank #2
Telegram’s current TDLib documentation says a single TDLib instance can handle more than 25,000 active bots. Treat that as a Telegram-published capacity statement, not a guarantee or benchmark for every workload: the documentation figure does not establish the performance your application will achieve under its own traffic, configuration, and deployment conditions.
MTProto: more protocol-level control
MTProto-oriented libraries provide access to lower-level client capabilities. That can suit a project whose requirements call for more control over protocol behavior, but it also means making more protocol and authentication decisions than a Bot API integration—and generally more than using TDLib’s higher-level client facilities.
Rank #3
For user or client applications, plan on API credentials and a client authorization flow rather than a bot token. The exact setup and supported features depend on the particular library and its documentation. Do not select an MTProto package solely because it runs in your preferred language; first confirm that its maintained API surface supports your use case.
How to compare libraries in your language
Telegram’s official Bot API samples page lists examples and libraries for Go, Python, Node.js, Rust, and other ecosystems. These are starting points, not a quality ranking or a promise that every listed project is equally maintained. Compare candidates against the production workload rather than choosing only by popularity or syntax.
| Decision factor | What to check | Why it matters |
|---|---|---|
| API surface | Does the package cover the Bot API, TDLib, or MTProto—and does that surface support the features your application needs? | A library for bots may not provide full client functionality. |
| Authentication | Does it use a bot token, or API credentials plus a client authorization flow? | The credential model follows the API layer and changes how you provision and protect access. |
| Language and runtime | Does the library fit your production language, runtime, async model, and concurrency approach? | A package that is awkward to integrate can complicate request handling and operations. |
| Update delivery | How does the library receive and process updates, and does its model fit your hosting environment? | Update handling is part of the application’s runtime design, not just a method-call detail. |
| State and storage | Does the library maintain local client data, or must your application own persistence? | TDLib can maintain a local message and chat database; lightweight Bot API wrappers commonly leave persistence to the application. |
| Maintenance and API-version lag | Check recent releases, compatibility with the Telegram API version you need, issue activity, and documentation. | Telegram APIs and third-party packages change; a language match alone does not establish ongoing support. |
| Deployment burden | Check native dependencies, build steps, storage requirements, and the complexity of operating the service. | TDLib or a self-hosted Bot API server may require more setup than calling Telegram’s hosted Bot API through a wrapper. |
What self-hosting the Bot API server changes
Most bot developers can call Telegram’s hosted HTTPS Bot API. Telegram also documents a local Bot API server that you can build and run yourself. Self-hosting is an operational choice, not a requirement for using a Bot API library.
The documented build requires native dependencies including OpenSSL, zlib, a C++17 compiler, gperf, and CMake. Telegram documents local-mode capabilities such as larger file transfers and local webhook addresses. These may matter when the hosted service’s behavior or deployment model does not meet your requirements, but they come with native build and server-operation work. Before choosing local mode, verify the current build instructions and whether its capabilities address a specific constraint in your setup.
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A practical selection path
- Decide whether you are building a bot or a client. For a server-side bot, start with the Bot API. For a customized client, assess TDLib and MTProto libraries.
- Match the credential model to the application. A Bot API integration uses a bot token; a client application generally needs API credentials and a client authorization flow.
- Choose the abstraction level deliberately. Prefer TDLib when its client facilities fit and you want it to handle networking, encryption, local storage, update ordering, and asynchronous requests. Consider MTProto when you have a concrete need for lower-level control and can take on its additional protocol decisions.
- Validate the package, not just the ecosystem. Review the official samples as leads, then check the chosen library’s API coverage, maintenance, version compatibility, async design, and deployment requirements.
- Keep hosting separate from library selection. A bot can use the hosted Bot API; build a local Bot API server only if its documented capabilities justify the added native dependencies and operational responsibility.
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