python-telegram-bot is a free, open-source Python wrapper for the Telegram Bot API, built for developers who want to create Telegram bots from their own Python code. It is released under the LGPL license, and the Python Telegram BOT for Windows package is available as a Windows build or installer. The latest version listed is v6.1.0.
Read this page with one important caveat in mind: the project has not received code updates since July 1, 2017, so it is effectively unmaintained. Libraries that stop receiving updates can fall behind changes in the Telegram Bot API, so expect gaps and plan extra testing before relying on it for anything new.
What Is a Telegram Bot Wrapper?
A Telegram bot is an account controlled by a program rather than a person. It receives messages from users, reacts to commands and can send notifications at any time. Telegram exposes this functionality through the Bot API, which is a set of web requests that any programming language can send.
A wrapper is a library that hides those raw requests behind functions and classes. Instead of building each request by hand, you call a method such as sending a message and let the library handle formatting, errors and responses. This is the role python-telegram-bot plays for Python developers.
The difference matters in practice. A wrapper lets you spend your time on logic, such as deciding when a message should be sent, rather than on the mechanics of talking to the service.
Who Would Use a Python Wrapper for Telegram Bots?
The most likely users are Python developers who already write scripts and want a messaging interface. Hobbyists often start with a simple bot that answers commands, then grow it into a tool that sends reminders or reports. Teachers and students also use small bots as a way to learn event-driven programming.
The project is listed in the crypto trading bots category, but that label can be misleading. The library does not place trades, manage positions or connect to exchanges. It only handles the Telegram side of a project. Anyone who wants automated trading needs to write that logic separately and accept the risks that come with it.
If you are looking for a finished program with dashboards and built-in strategies, a wrapper will feel incomplete. It rewards people who enjoy writing code and want full control over how their bot behaves.
How a Wrapper Fits Into a Crypto Alert Workflow
Consider a common scenario. A small script checks a price source that you already have access to. When the value crosses a threshold you chose, the script calls the library, which sends a message to your Telegram chat. You receive the alert on your phone without keeping a trading window open.
In this setup, the library is only the delivery layer. The price data, the threshold logic and the choice of data provider all come from your own code. That separation makes it easier to test each part, because you can send a fake alert to confirm the messaging works before connecting real data.
Because alerts can be triggered by faulty data, it is wise to add simple checks in your script. Limit how often messages are sent and log each event so you can see why an alert fired.
Key features
Telegram Bot API Support
Introduction for New Readers
Getting Started Guide
Help and Community Resources
Contribution Guidelines
How to install Python Telegram BOT on Windows
- 1
Get the Windows Build
Download only from the official website or the GitHub Releases page. Compare the file name and version number with what the release page describes before you open the file. Avoid copies from file-sharing sites, because modified installers are a common way to spread malware.
- 2
Verify the File
Before running the download, calculate its SHA-256 checksum and compare it with the value published on the release page. Only continue if the two values match exactly.
- 3
Run the Installer
Launch the installer and follow the prompts. If you use a plain Windows build instead, extract it to a folder you control and keep the path simple, without spaces or special characters, to make scripts easier to run.
- 4
Create a Test Bot
Open Telegram, start a chat with BotFather and follow its prompts to create a bot. BotFather returns an API token. Store that token in an environment variable or a local config file, and keep it out of any code you share.
-
Run a First Script
Write a short script that imports the library, connects with your token and replies to a test message. Run it from a terminal, send a message to your bot in Telegram, and confirm that the reply arrives.
How to use Python Telegram BOT
Once the library is installed, using it means writing a small Python program. The steps below assume you can run a script from a terminal and already have a bot token from BotFather.
- Create a project folder and add a Python file for your bot.
- Import the library and load your bot token from an environment variable.
- Define a handler function for a command such as /start, and have it send a fixed reply.
- Register the handler with the bot and start the bot so it checks Telegram for new updates.
- Open your bot in Telegram, send /start, and confirm the reply appears.
- Add one feature at a time, such as a command that returns a message built from your own data.
- Stop the script with Ctrl+C when testing is finished.
Test each addition before moving on. If a command stops working after an update to Telegram, the problem is often in the handler logic or the library version rather than in your token.
Pros & cons
- Free and open source
- Released under the LGPL license
- Windows build or installer available
- Wraps the Telegram Bot API for Python developers
- Documentation covers introduction, getting started and contributing
- Source code is publicly accessible on GitHub
- No code updates since July 1, 2017
- Not a ready-made trading terminal
- Requires Python coding to use
- Older codebase may lag behind current Telegram API changes
- Community answers may be dated
Is Python Telegram BOT safe?
This project has not had code updates since July 1, 2017, so treat it as unmaintained. Security issues reported after that date may remain unpatched, and the code may not reflect current best practices. The listed source repository is under an account named intelligenttrading, so compare it with the project website before you trust it. Download only from the official website or the GitHub Releases page, compare the SHA-256 checksum of the file with the value published on the release page, and do not run files that fail the check. Keep your Telegram bot token private, because anyone who holds it can control your bot. Never enter a seed phrase on any website or into any script, since a messaging library has no legitimate reason to ask for one.
- Official source only. Download from github.com/intelligenttrading/python-telegram-bot. Ignore ads and lookalike domains.
- Check the SHA-256. Compare the installer hash with the value the developer publishes before running it.
- Never share your seed phrase. No developer, support agent or website — including CryptApps — will ever ask for it.
Alternatives
python-telegram-bot differs from most entries in this catalog because it is a library, not a finished program. Gunbot and Moon Bot are trading bots you run to act on exchange markets. Jesse is a framework for writing and backtesting strategies, and OctoBot ships with a web interface. Elinesoft XTester and TestMyLogic focus on simulation and checking strategies for overfitting. If you want a ready-made tool with a graphical interface, the alternatives listed on this page are a better fit. This project is worth considering only if you want to build your own Telegram messaging layer in Python and accept the maintenance risk.
Specifications
- Price
- Free
- Type
- Open source
- License
- lgpl
- Latest version
- v6.1.0
- Last update
- 1 Jul 2017
- Windows support
- Yes (Windows build or installer)
- Source code
- github.com/intelligenttrading/python-telegram-bot
Frequently asked questions
Yes. python-telegram-bot is free and open source, released under the LGPL license. That license lets you read the code, use it in your own projects and modify it, within conditions set out in the license text. Read that text before distributing a modified version, because redistribution rules can be more specific than general use.
Yes. The project offers a Windows build or installer, so you can use it on a Windows PC without compiling it yourself. After installing, you still need to write Python code that imports the library and connects it to your bot token. The library does not provide a graphical interface, so all interaction happens through your scripts and Telegram chats.
No. The project has had no code updates since July 1, 2017, so it should be treated as unmaintained. The latest version listed is v6.1.0, but a version number alone does not show that the code keeps pace with current Telegram API changes. Compare it with actively developed options before starting a new project.
It can be, if you get the file from the official website or the GitHub Releases page and verify it. Compare the SHA-256 checksum of the download with the value on the release page before running anything. Because the codebase is old, read the safety notes on this page and consider reviewing the code yourself before using it with a real bot token.
Not on its own. The library wraps the Telegram Bot API, so it can send and receive messages, but it does not include a trading engine or exchange connections. Any automated trading logic must be written by you and connected to a separate exchange library. The project makes no promises about profit, and automated trading carries real financial risk.
Yes. python-telegram-bot is a Python library, so you need to write scripts that import it and define how your bot responds. Basic knowledge of functions, variables and running a script from a terminal is enough to follow the examples in the documentation. Without coding skills, a ready-made Telegram bot service would be a more practical choice.
It is licensed under the LGPL. The LGPL allows the library to be used in both open source and proprietary projects under certain conditions, such as keeping the library's own license notices intact and sharing changes to the library itself. Read the full license text for the exact obligations before you ship a product that includes it.
Verdict
python-telegram-bot suits Python developers who want a free, Windows-friendly wrapper for the Telegram Bot API and are comfortable reading older code. It is not a trading program in the sense its category suggests, and it has had no code updates since July 1, 2017. Hobbyists testing a simple alert bot may find it useful as a learning reference, while teams building new production systems should look at actively maintained alternatives. Always check the latest version on the official website before you install anything, and keep your bot token private.