Hello Developers, You might be wondering how to run Python script, deploy a Python application on a server, or look for the best free hosting platform for Python applications, we have got you covered. In this guide, we will look at five free hosting platforms for Python applications and also provide Python native support.
Table of Contents
Free Hosting Platforms for Python Applications
We will explore the following criteria:
- Free Tier
- Cost of Cheapest Paid Instance
- Deployment Method
- Workloads Support
- Dockerfile Support
- Native Python Support
- Regions Supported
- Underlying Infrastructure
- Documentation for Python Deployments
All of these solutions help you deploy your Python application on the cloud in no time. This comparison’s criteria will help you identify the solutions for your Python project. Let’s dive into the 5 best free hosting platforms for Python applications.
PythonAnywhere: Python Web Hosting
PythonAnywhere.com is designed for Python developers, offering a better environment for coding, deploying, and hosting Python applications.
Key Features:
- Web-Based IDE: PythonAnywhere provides a browser-based IDE, allowing developers to write, test, and deploy code without installing anything.
- Free Tier Benefits: Users can host one web application with a subdomain, sufficient for small Python applications.
- Cost of Cheapest Paid Instance: $5 per month
- Deployment Method: Deploy via GitHub or Bitbucket. Cannot deploy Docker containers, Dashboard, and CLI
- Native Python Support: Yes
- Dockerfile Support: PythonAnywhere does not provide any support for building from Dockerfiles.
- Workloads Supported: It provides support for the following workloads web applications, corn jobs, databases, and static sites.
- Regions Supported: 1 location in US East – An EU version of the platform runs workloads in the Frankfurt region
- Underlying Infrastructure: It runs on top of Amazon Web Services.
Documentation for Python Deployments on PythonAnywhere
Koyeb: Python Web Hosting
Koyen is a modern cloud platform designed for simplicity and speed, making it an excellent choice for deploying a lightweight Python application for free.
Key Features:
- Serverless Deployment: Koyeb allows you to deploy Python applications without worrying about server management.
- Free Tier: Deploy one service and one managed PostgreSQL database.
- Cost of Cheapest Paid Instance: It costs you $1.61 if you run it for the entire month.
- Deployment Method: Git-driven and Docker-based deployments. CLI and control panel.
- Workloads Supported: Koyeb provides support for Full-Stack applications, web services, APIs, background jobs, and databases.
- Native Python Support: Yes It provides.
- Dockerfile Support: You can build from the docker file and also supported for those who want more control over the build process.
- Regions Supported: Six regions across three continents. Tokyo (Japan), San Francisco (US), Frankfurt (Germany), Washington D.C. (US), Paris (France), and Singapore.
- Underlying Infrasture: Koyen runs directly on bare metal machines.
Documentation for Python Deployments on Koyeb
- Deploy Python Flask on Koyeb
- Deploy Python Django on Koyeb
- Deploy Python FastAPI on Koyeb
- Deploy Python via Git on Koyeb
- Deploy Celery Worker on Koyeb
Render: Python Web Hosting
Render is a modern alternative to traditional hosting platforms, offering a better interface and competitive free-tier options.
Key Features of Render
- Support Web Services and Background Tasks: On render, developers can run web services and schedule a job in a few clicks.
- Free SSL Certificates: Every application gets a free SSL certificate, ensuring secure connections between hosting and your domain.
- Free Tier: 750 Hours for one service each month.
- Cost of Cheapest Paid Instance: $7 per month
- Workloads Supported: Database, from jobs, static websites, and web services.
- Deployment Method: Docker-based development. CLI and control panel.
- Native Python Support: Yes, it allows you to deploy Python on Render.
- Dockerfile Support: Oregon (US), Ohio (US), Singapore, and Frankfurt (Germany).
Documentation for Python Deployments on Render
Fly.io: Python Web Hosting
Fly.io is a versatile cloud hosting platform designed for deploying full-stack applications globally. Its free tier is particularly for Python developers looking to host small projects.
Key Features of Fly.io
- Global Edge Hosting: Fly.io deploys applications close to users, providing low-latency access worldwide.
- Support for Python Frameworks: Fly.io is compatible with popular Python frameworks like Django and Flask.
- Free Tier Benefits: Include 3 shared CPUs, 256MB of RAM, and 160GB of storage with 3GB of free outbound bandwidth per month.
- Customizable Networking: Offers features like private networking and SSL certificates for secure applications.
- Cost of Lowest Paid Instance: $1.94 per month
- Deployment Method: Applications, corn jobs, database, and queues
- Workloads Supported: Dockerized Applications
- Native Python Support: Built-in Python Builder provided by Fly.io
- Dockerfile Support: Build from Dockerfile is supported in Fly.io
- Regions Supported: 35 regions worldwide supported
Documentation for Python Deployments
Railway: Python Web Hosting
The railway is a user-friendly deployment platform that allows developers to quickly set up and host their Python applications with minimal effort.
Key Features
- Free Usage Credits: Each month, Railway provides free usage credits that cover the hosting of basic apps.
- Simple Deployment Process: Developers can deploy directly from their GitHub repositories.
- Cost of Cheapest Paid Instance: Starts at $10/month once free credit are exhausted.
- Deployment Method: You can deploy with GitHub integration, CLI, or Railway’s web dashboard.
- Workloads Support: It supports web apps, APIs, and background tasks.
- Native Python Support: Yes, supports Python natively without requiring Docker.
- Underlying Infrasture: Uses AWS, GCP, and other major cloud providers under the hood.
- Dockerfile Support: Yes, supports Docker-based deployment for flexible configurations.
Documentation for Python Deployments
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Conclusion: 5 Free Hosting Platforms for Python Applications
Here we covered a lot of free ties, deployment methods, native supports for Python, workload supports, and cheap paid plans. Hopefully, you will find this guide “Free Hosting Platforms for Python” useful and discover some insights that will help you to make the best choice for your Python project.
To conclude this guide, keep in mind that the hosting platform can affect both the performance of your app and the amount of time you can devote to app development instead of DevOps. I hope your deployments go well and quickly!
Happy Coding!!
