14 best Python Telegram Bot libraries in 2025

You can build an intelligent telegram bot. It can automatically or on request send text, video, images, documents and perform different activities.   

Using a Python Telegram Bot Library, you can Broadcast, Teach, Collect Leads, Search, Reply, Remind, Play, Connect, etc. To help developers, these bots act as a BotFather. Also, you can implement the pair-to-pair security protocol and end-to-end encryption to ensure that each exchange of messages between the Bot and the user is secure. 

We have handpicked the top and trending Python Telegram Bot libraries for your next project below.  

python-telegram-bot

• Used for building a bot in telegram easily by coupling with Python libraries like Flask, Requests, and Viz.  
• Provides an asynchronous interface for the Telegram Bot API.  
• The library features many high-level classes to make the development straightforward.  

Telethon

• An asynchronous Python 3 MTProto library that helps interact with Telegram’s API as a user through a bot API alternative.  
• If we install cryptg, the library will work faster as the encryption and decryption will be done using C instead of Python.  
• If we install pillow, larger images will be automatically resized while sending photos to prevent telegram from failing with ‘Invalid Image’ messages.  

pyTelegramBotAPI

• Used as the Python implementation for the telegram bot as it supports both synchronous and asynchronous methods.  
• Provides functions like send_message, send_xyz, send_document, etc. And listens to all incoming messages.  
• Can have an arbitrary name, but it should have only one parameter: the message.  

aiogram

• Used for building bots quickly and efficiently using the available template and a fully asynchronous framework for Telegram Bot API.  
• Used in Bot applications and Automation.  
• Can reply into webhook, i.e., making requests in response to any latest updates.  

pyrogram

• Modern, elegant, and asynchronous Telegram MTProto API framework in Python for bots and users.  
• Enables you to easily interact with the main Telegram API using a user interface or a bot API alternative using Python.  
• Types and methods are all type-hinted, which will enable excellent editor support.  

telepot

• Helps build applications for Telegram Bot API and works on Python 2.7 and Python 3.  
• Use telepot.glance() function for extracting the headline information.  
• Supports synchronous and asynchronous methods of programming. 

mtprotoproxy

• Fully asynchronous and can process a lot of connections.  
• Not just a tool but has an API that can help customize the Telegram MTProto proxy.  
• Can be used for logging, limiting access, and creating proxy farms that are hard to filter. 

BrainDamage

• Used in Runtime environments, Docker applications, and Servers.  
• Can destroy the active slaves, remove the stub from the host and registry entries, run shell commands on the host, and download files on a host computer.  
• Used for Artificial Intelligence and Machine Learning.  

informer

• Used in Docker applications, Bot, and Automation.  
• Allows you to masquerade as multiple REAL users on telegram and spy on 500+ Telegram channels per account.  
• Is a Telegram Mass Surveillance Bot in Python.  

TeleGram-Scraper

• Used to export competitor groups, channel members, and add them to your own group or channel.  
• You can scrape search results and extract the contents produced from those search results.  
• Supports telegram premium API.  

telebot

• Provides the best-of-its-kind API for command routing, keyboards, and inline query requests and callbacks. 
• Are Concise API, supports Command routing, Middleware, Effortless bot callbacks, and Transparent File API.  
• Is a highload-ready solution that has APIs that are easy to memorize and use.  

mautrix-telegram  

• A hybrid Matrix- telegram puppeting or relaybot bridging library. 
• Has 2-factor authentication enabled for logging in with a bot token.  
• Includes a simple script to help migration between different database management systems. 

python-aria-mirror-bot

• A telegram bot for mirroring files on the internet to our Google Drive or Telegram.  
• Supports Mirroring direct download links to Google Drive, Upload and download progress, Docker support, Download or upload speed and ETAs, Index Link support, and many more.  
• Stops duplicates for all tasks except for qBittorrent and youtube-dl tasks.  

TorrentLeech-Gdrive

• Based on the Pyrogram library and Leecher.  
• Supports Telegram file mirroring to the cloud with its unzipping, untar, and unrar.  
• Help change the rclone destination configuration on the fly. 

FAQ:

1. What is the best API framework for building a Python Telegram bot?  

The Python-telegram-bot library is a fantastic framework for creating Python Telegram Bots. You can use it to create and manage Telegram bots with many features. This library makes it easier to use the Telegram Bot API by simplifying its complexity. It offers features like inline mode support, webhook integration, and message handling.  

2. How does the Telegram Bot API library compare to other API alternatives?  

Python-telegram-bot is a popular and well-maintained choice for making Telegram bots with Python. However, other libraries offer unique features and approaches. Here are some alternatives:  

• python-telegram-bot  
• pyTelegramBotAPI  
• aiogram  
• Telepot  

3. What are the main differences between the Telegram Bot API and the main Telegram API?  

Developers intend to use the Telegram Bot API to build custom clients. The platform provides special user experiences. The Bot API allows for automated bots to interact with users. The Telegram Bot API is complex. It requires a deeper understanding of the Telegram protocol. The Bot API is simpler and more user-friendly.  

The Telegram API is good for making different Telegram apps. The Bot API is for making bots that interact automatically. The Telegram API lets you have much control over messaging and interactions. The Bot API makes bot-specific tasks easier.  

The authentication process is different for the two APIs. To use the Telegram API, you need a user session. The Bot API, on the other hand, requires API tokens for authentication. The Telegram API includes messaging, customization, and file-sharing features. The Bot API is all about bot stuff, like commands, handling messages, and inline queries.  

4. How user-friendly is the interface of Python libraries for developing bots?  

Python libraries make bot development easier by providing user-friendly interfaces. But the level of user-friendliness can vary based on the specific library you choose. When evaluating how easy it is to use a library's interface, think about these things: 

Documentation:  

Developers need clear documentation with examples to use the library effectively.  

Ease of Setup:  

Installing and setting up a library can make developing easier and more efficient.  

Community Support:  

A strong community can offer assistance, answer queries, and share tips. It enhances the overall user experience.  

Abstraction:  

The extent to which the library abstracts complex API calls. It handles common use cases and can greatly impact usability.  

Flexibility:  

A library that is both powerful and easy to use is great for beginners and experts.  

5. Can one use Python as one of many programming languages to create a bot on Telegram?  

You can definitely use Python as a programming language to create a bot on Telegram. Telegram offers a Bot API. It offers a straightforward way to develop bots. Python has several libraries that make it easy to interact with this API. Some commonly used libraries include:  

python-telegram-bot:  

This is a popular library specifically designed to create Telegram bots in Python. The interface is easy to use and simplifies the Telegram Bot API. It makes it suitable for both beginners and experienced developers.  

aiogram:  

This is an asynchronous library. It uses Python's asyncio framework to build Telegram bots. It is particularly useful when handling many concurrent tasks in your bot.  

pyTelegramBot API:  

This library offers a simpler interface for basic bot functionalities. Beginners can easily create a basic bot without worrying about complicated details.  

Telepot:  

Telepot is an earlier library, but you can still use it to make Telegram bots with Python. However, it might not have newer libraries' latest features and updates.  

These libraries help interact with the Telegram Bot API using Python. You can use it to create bots that answer people, organize chats, and send messages.  

6. Can a Chat Bot or ChatGPT bot be built using Python libraries?  

It is possible to build a Chat Bot or ChatGPT bot using Python libraries. To create a chatbot, you can use Python. It doesn't have to be complex or need advanced techniques. Here are a few ways that can help you with the same:  

Rule-Based Chatbots:  

You can build a basic rule-based chatbot using nltk and spaCy. These provide tools for tokenization and part-of-speech. It can help analyze user input and generate responses based on predefined rules.  

Generative Chatbots:  

Creating a complete model can complicate things. But with the Open AI GPT-3 API, you can add a strong language model to your Python chatbot. OpenAI's API allows you to send prompts to GPT-3 and receive generated responses. It enables you to generate more human-like interactions. Using GPT-3 will need an API key and an understanding of API integration.  

Simple Retrieval-Based Chatbots:  

You can use Python to create a basic chatbot that gives set responses to input. You can use libraries like gensim and scikit-learn to create models. These models match user queries with responses. These models help determine text similarity.  

Custom Machine Learning Models:  

For more advanced chatbots, you can use libraries like transformers. It helps fine-tune pre-trained language models for specific chatbot tasks. This approach requires some familiarity with machine learning and natural language processing concepts.  

Bot Frameworks:  

Some bot frameworks use Python and have extra features for creating conversational AI. Rasa allows you to create rule-based and machine learning-based chatbots. It provides tools to train and deploy them.  

7. Are there any tutorials for programmers who want to make bots on Telegram with Python?  

There are tutorials for programmers who want to make bots on Telegram with Python. The tutorials explain how to create a bot, including setup and message handling. They also teach you how to add more advanced features. Here are a few resources to get you started:  

Python Telegram Bot Library Documentation:  

The official documentation for the 'python-telegram-bot' library provides a comprehensive guide. It helps build bots on Telegram using Python. It covers installation, message handling, inline queries, basic usage, and keyboard markup.  

Real Python Tutorial:  

Real Python has a tutorial. It guides you through building a weather bot for Telegram using Python. It covers using the 'python-telegram-bot' library and integrating with a weather API.  

YouTube Video Tutorials:  

YouTube hosts a wealth of video tutorials on building Telegram bots with Python. Search for keywords like 'Telegram Bot Python tutorial' to find relevant videos. It suits your learning style.  

FreeCodeCamp Tutorial:  

FreeCodeCamp offers a step-by-step tutorial on building a Telegram bot using Python. You will learn how to set up a bot, handle updates, create an interactive bot, and send messages.  

Dev.to Articles:  

You can find articles and tutorials about making Telegram bots with Python on Dev.to. These articles cover various topics, from basic bot creation to more advanced features.  

GitHub Repositories:  

Developers frequently share their Telegram bot projects on GitHub. They include the source code and documentation. Exploring these repositories can provide practical examples and insights.  

8. How difficult is learning Python to create a simple bot on Telegram?  

Creating a basic bot on Telegram using Python can be fairly easy to learn. The difficulty level depends on how much you know about programming and if you use tools. It also depends on your experience with Python. Here is a general overview:  

For Beginners:  

• If you are new to programming, you may need time to learn Python's syntax and concepts.  
• After learning Python, you can use it to explore the Telegram Bot API and Python libraries. 
• We can make a bot that sends and gets messages, follows commands, and gives simple information. It can be achievable for beginners with some practice and patience.  

For experienced programmers:  

• Knowing programming makes learning Python and the libraries for creating Telegram bots easy.  
• It can be helpful to know about APIs and making HTTP requests. You'll use the Telegram Bot API to interact with Telegram.  
• If you don't know a lot, you might need more time to learn about some things. These include inline searches, connecting with other apps, and managing messages.  

Beginner to intermediate programmers can create a basic bot on Telegram with Python. There are many helpful resources available to help you learn easily. These resources include documents, tutorials, and examples.  

9. When creating a telegram Bot with Python, are there any special things to consider compared to Java or C++?  

Creating a Telegram bot is similar in many programming languages. However, there are a few differences to think about. When making a Telegram bot, remember some important differences from other languages. 

• Library Availability  
• Development Speed  
• Syntax and Conciseness  
• Learning Curve  
• Memory Management  
• Asynchronous Vs. Synchronous  
• Performance  
• Integration with other Services  
• Community and Libraries  
• Deployment and Hosting  

Python is a language that has simplicity, strong community support, and user-friendly availability. This makes it a popular choice for developing Telegram bots. Consider familiarity, project requirements, and team expertise when choosing a language.  

10. Are there security concerns when using Python libraries to develop bots on Telegram?  

You should know about security issues if you create bots on Telegram or other platforms. Python is safe, but libraries, code, and architecture can affect your bot's security. Here are some common security considerations:  

• Input Validation and Sanitization  
• API Token Protection  
• Rate Limiting and Anti-Abuse Measures  
• Bot Permissions  
• Webhook Security  
• Secure Coding Practices  
• Library Security and Updates  
• Data Privacy and Storage  
• User Privacy  
• Monitoring and Logging  
• Secure Deployment