Declared Python dependencies
Deploy requirements.txt with the production files required by your process.
Host your Python app, API, worker or bot.
Deploy FastAPI, Flask, Django, discord.py, python-telegram-bot, Celery or another Python project from GitHub or ZIP/RAR. Choose your runtime and start command, with 10 GB of persistent storage, logs and a free HTTPS address.
From Python project files to an isolated runtime
Python
select Python and its version during app creation
Pip install
dependencies installed automatically
/app
10 GB disk; files persist across restarts
Live
application logs and resource metrics
Python workload examples
From FastAPI and Django to workers and bots.
Shard Cloud runs Python web apps, background workers and long-running bot processes with your project's own runtime and startup configuration.
Explore capabilitiesFastAPI, Flask & Django apps
Host Python HTTP APIs, webhooks and server-rendered sites. Run FastAPI or Flask behind Uvicorn or Gunicorn, or deploy a Django application with its production start command.
Celery workers and scheduled jobs
Run Python processes that consume queue jobs or perform scheduled tasks. Set the worker entry point or custom start command and follow each process through its logs and resource metrics.
Discord & Telegram bots
Host a discord.py or python-telegram-bot project. Configure tokens in environment variables and use application logs to follow connections, updates and errors.
Built to operate
Python hosting for APIs, workers and bots.
Install declared dependencies in an isolated environment and run the Python process that fits your web app, worker or bot.
Web apps, workers and bots
Run the production process for a FastAPI, Flask or Django app, a Celery worker, or a long-running bot.
Persistent application files
Keep Python uploads on the 10 GB persistent disk across application restarts.
Publish an address
Every Python web application receives a free HTTPS address under *.shardweb.app. Connect your own domain with Core or higher.
Logs and resource metrics
Use logs, memory and CPU metrics to inspect startup, runtime errors and the workload's actual resource use.
Automatic restart
Python processes restart automatically; use dashboard logs to investigate a process that stops.
Deployment setup
How to deploy a Python app on Shard Cloud.
Prepare your Python project, configure the deployment, then verify the web server, worker or bot.
Get started01
Prepare your project
Include main.py or app.py, requirements.txt and .shardcloud. Remove venv/, __pycache__/ and *.pyc before zipping.
02
Configure the deployment
Point MAIN at your entry file and choose memory. Shard Cloud installs requirements.txt into an isolated environment on deploy.
03
Verify the workload
Test an endpoint, task or bot connection, then read the logs.
From connection to the first decision, in one flow.
Tutorials
Tutorials for your runtime
Open step-by-step Shard Cloud documentation for popular projects in this runtime.
How to Host Selenium Applications
Run Selenium browser automation scripts on Shard Cloud.
Read tutorialHow to Host Discord Bots
Create and host Discord bots with Node.js and Python examples.
Read tutorialHow to Host Telegram Bots
Create and host Telegram bots with Node.js and Python examples.
Read tutorialFrequently asked questions
Frequently asked questions about Python hosting
Yes. Shard Cloud supports Python web apps and background processes, including FastAPI and Flask APIs, Django sites, Celery workers and scheduled jobs. Deploy your project with its production files and start command.
Add requirements.txt to your project. Shard Cloud installs the listed dependencies during deployment.
Set MAIN to your entry file in .shardcloud, usually main.py or app.py, and list your dependencies in requirements.txt. Shard Cloud installs them in an isolated environment and runs the file. A web app must listen on port 80.
Usually, no. Gateway or polling bots, including most discord.py bots, do not need a public port. Enable web publication and listen for requests only when your bot uses webhook callbacks or also exposes an API.
Yes. Each Python application has a 10 GB persistent disk at /app. Files stored there persist across application restarts.
Set VERSION=LATEST for the newest supported Python release, or VERSION=recommended for the platform's recommended release. Choose the setting compatible with your project and dependencies.
Every app needs at least 256 MB. Use 512 MB or more for a public website or API, then increase it based on observed usage.
Your server must listen on port 80.
Read the full Python deployment guide
Ready to move forward
Deploy your Python project.
Bring a Python project with its dependency manifest, then choose the production process for its API, worker or bot.
Guided setup with no commitment
Entry point and dependencies ready
Package main.py or app.py, requirements.txt, and the configuration required by the process.
Configuration and environment ready
Add tokens, connection strings and settings without putting secrets in your code.
Deploy your Python project
Connect GitHub or upload a ZIP/RAR, select Python, and start Uvicorn, Gunicorn, Celery or your bot command.
A plan for every stage of your project
Rated 4.9/5 on Trustpilot · Trusted by 50,000+ developers
Basic plan
Perfect for freelancers or individuals who need to host applications and bots.
1-2GB RAM
1-2 vCPU
4-8 projects
5-10GB CDN
Core plan
For small teams and startups that need infrastructure for multiple projects.
4-8GB RAM
4-5 vCPU
16-32 projects
35-100GB CDN
Connect your own custom domain
Pro plan
Built for scaling companies with high project volume and advanced support.
12-24GB RAM
6-10 vCPU
48-96 projects
150-250GB CDN
Load balancers
Automatic backups