Isolated containers
Each bot runs in its own Docker environment with resource limits.
Deploy a Telegram bot, Discord bot or background Python script from your browser. PyHost handles the container, dependencies and runtime; you keep control of your code and logs.
Add your Python file and requirements.
Launch it in an isolated container.
Follow logs and resource usage.
Practical tools for deployment and daily maintenance, without turning your project into a server administration job.
Each bot runs in its own Docker environment with resource limits.
Keep Python packages with your project and install them during deployment.
Read current output and find errors in your dashboard.
Manage bot status from your browser instead of an SSH session.
Track CPU, memory, storage and network use for your bots.
Upload and update your files from the control panel on supported plans.
Bring your existing project. PyHost gives it a managed place to run.
Create an accountUpload a .py or .zip file, choose your entry script, and include requirements.txt for dependencies.
Select a plan for the number of bots you run. You can review its limits before checkout.
Start your bot, inspect logs, and follow its resource usage from the dashboard.
Choose by bot count. Exact resource limits and available tools are shown in your account before checkout.
For one project getting started.
For a couple of active bots.
For a growing collection.
For a larger workspace.
Plan terms and resource limits in your account take precedence over this overview.
Keep your project online after your own computer is off.
Host bots built with python-telegram-bot, aiogram, Pyrogram or Telethon. Add your dependencies and watch logs from the dashboard.
Run a discord.py bot in its own container and manage it from the browser.
Deploy long-running Python workers and automation scripts with a straightforward upload and launch flow.
A few useful details about how PyHost works.
Create an account, select a plan, upload your Python project and start the bot. It runs on the server after your computer is off.
You can upload Python files or a ZIP project. Include a requirements.txt to declare packages your bot needs.
Yes. The dashboard shows logs, bot status and resource metrics.
No. Routine deployment and bot controls are available in the web dashboard.
Set up your workspace and deploy when you're ready.