Top 10 Python Hosting Providers

In this piece, we’re diving into the world of Python hosting. We’ll unveil ten top-tier Python hosting providers, shining a light on their key features and breaking down their cost structures. Come explore with us!

Python is one of the most widely used scripting languages. Developers like using Python for web development, software creation, data engineering, data visualization, task automation, and machine learning projects.

According to a recent survey of Stack Overflow, Python secures 4th position among the most popular programming languages with a score of 48.07%. 

With a massive increase in the use of Python, choosing the most dedicated hosting services for such projects is also significant.

Therefore, this guide presents one of the best Python hosting providers with their features and pricing models. This article will also update the readers on the advantages and limitations of using Python.

Key Takeaways

• Python is a popular, user-friendly language, ideal for various applications like web development and machine learning, but it’s more beneficial for backend development.

• Python is easy to learn and write, highly productive, and has seamless debugging due to its interpreted nature. However, it’s slower, memory-intensive, and prone to runtime errors.

• From niche services like Back4app, Heroku, and PythonAnyWhere, to industry titans like AWS and Digital Ocean – here’s our curated list of top ten Python hosting providers.

What is Python?

Python is an object-oriented, functional, and high-level scripting language that was initially launched in 1991. Although programmers can utilize Python for server-side and frontend programming, but it is more beneficial for backend development. 

Python is based on script readability philosophy, which is why its syntax is analogous to the English language.

The features like easy interaction with database systems, garbage collection, and fast app development make Python an ideal choice for dev teams.  

Renowned digital platforms like Instagram, Quora, Dropbox, Netflix, and Bitly benefit from Python to conduct different tech stacks. 

Advantages of Programming with Python?

Here are some core advantages of programming with Python:

Easy to Learn and Write

Python sounds similar to English, so it is convenient to learn, script, and understand this programming language.

Usually, programming experts suggest novice developers begin their learning career with Python.

Correspondingly, developers need to write shortcodes when programming with Python compared to Java and C languages. 

Productivity

This interpreted language is also popular because of its highly productive nature. Indeed, Python takes less effort when it comes to readability.

Undoubtedly, dev teams consume less time to grasp language or script syntax behavior. Therefore, developers can script shortcodes in less time to perform tasks productively.

Interpreted Language

Interpreted languages are dynamically typed and carry out the script line by line. In this way, development teams can avoid the chances of errors because execution pauses in case of any glitch. This approach also makes the debugging process seamless for developers.

Limitations of Programming with Python?

Let’s dive into the drawbacks of programming with Python:

Not Very Fast

Python is considered a slow scripting language because of its dynamically typed and interpreted nature, mainly if you compare it with Java and C.

The code execution and compilation are also sluggish. In short, Python could be a slow option, especially if you want to complete a task in a short period of time. 

Memory Intensive

High consumption of memory is another drawback of programming with Python. Indeed, this scripting language utilizes 10% more RAM and memory resources than economic languages.

Moreover, the garbage collector of Python also doesn’t perform efficiently in this regard. 

All in all, Python is undoubtedly a poor selection if your project is short on memory resources. 

Hard to Avoid Runtime Errors

Conducting thorough testing is necessary to code with Python. Yes, Python executes the script line by line, and any future modification in variables can become a reason for runtime errors. These runtime errors are the prominent drawbacks of using Python.  

Top 10 Python Hosting Providers

Here is the list of top Python hosting services with essential features and pricing structures:

1. Back4app

Back4app Web Deployment Platform is one of the most reliable Python hosting providers we list at the top of this guide.

It’s a great free Python hosting option and dev teams just need to come up with their Python script here, and its user-friendly interface enables them to host their application within a few moments only. 

To deploy your Python web app on Back4app, you can also connect a GitHub account with this hosting solution.

In this regard, businesses find a wholly secure and containerized environment here to deploy any type or size of their Python application. Moreover, the Back4app Container Platform is free for novice developers but permits dev teams to extend the resources anytime. 

Python web hosting is easy with Back4app and please read the article How to build and deploy a Python application for a comprehensive guide on building and hosting a Python project.

Features

Open-Source – Back4app Container Platform is a preferred choice of development teams because of its open-source nature. Hereof, you can also benefit from open-source dev tools like Docker, Node.js, Redis, and PostgreSQL to support Python projects. 

Developer Focused – Back4app reduces the breach between production, deployment, and development. It supplies DevOps to increase the production and deployment speed of Python applications.  It makes Python cloud hosting easy and straightforward for developers.

Smooth Deployment – Back4app CaaS is a CSP that comes with a user-friendly interface. Unspecialized people can even host their Python projects here without any technical knowledge. Mainly, if you are already hosting your Python code on GitHub, it needs a few clicks only. 

Efficient – The containerized environment of Back4app CaaS keeps the hosting super-efficient. Indeed, less overhead, high portability, and sufficient use of resources are leading features when you host Python apps on the Back4app Container Platform. 

Please read Back4app’s docs for a step-by-step tutorial to deploy a Python application.

Pricing

You can divide the pricing structure of Back4app to host Python in the following four models:

Free – Users can access 0.25 shared CPU, custom Docker containers, 256 MB RAM, and 100 GB data transfer under a freemium plan. This could be a perfect choice for new Python programmers and learners.

Shared Hosting Plan – This plan consists of 512 MB RAM, 100 GB data transfer, daily backups, and 0.5 CPU. Python developers just need to pay $5/month per container to host their applications here. It could be beneficial for startup projects.

Dedicated Server – This is the most advanced pricing model that comes with 1 CPU, 250 GB data transfer, 2 GB RAM, and several other exciting features. The monthly cost of the entry level Python cloud server is $50/month per container. You can employ this model to host enterprise-level projects. 

Enterprise Edition – If the mentioned pricing models of the Back4app Container Platform don’t suit your project needs and you want more instances, simply contact the sales team. Indeed, Enterprise Edition is the best fit for projects requiring more resources and tailored support. 

Keep reading to learn more Python hosting platforms.

2. Heroku

Heroku offers a Platform as a Service solution to provide full-stack hosting to users. Therefore, dev teams and businesses can also shortlist Heroku for Python hosting.

In this regard, Heroku officially claims to provide excellent support for the Python language. 

On the contrary, if you talk about the cloud structure of Heroku, you can’t only host your applications on this PaaS provider, but it also permits you to build, extend and run apps.

Companies and programmers can use Heroku Dynos to run their Python apps in a containerized environment.

Features

Heroku Dynos – This is one of the fundamental features of Heroku, or even you can call it the heart of this CSP. Users don’t have to bear the cost of virtual machines or on-premises infrastructure when they host their Python projects with Dynos. These containers have excellent management features, so you can scale the project anytime.

Heroku DX – With the help of this feature, coders can improve their development experience. Hereof, Heroku offers Postgres DbX functionalities, a dashboard with all insights, and thousands of action buttons.

Data Services – Heroku is popular among the programming community because of its exceptional data services. Yes, it empowers the developers with open-source database solutions, including Redis, PostgreSQL, and Apache Kafka. 

Runtime Environment – This function is accountable for supervising and running applications. Robust app rollbacks, quick container administration, and programmed security patching are benefits of the runtime environment.   

Pricing

It is advised to use Dynos for Python hosting on Heroku. In this regard, the monthly fee for the Eco and Basic plan is $5 & $7, respectively. However, the Standard program that is empowered with more features costs $0.03/hour, and its monthly charges begin from $25. 

The projects that need more instances can also employ plans like Performance, Private, and Shield. 

3. DigitalOcean App Platform

With 99.99% SLA uptime and 600k global clients, DigitalOcean App Platform is another Python hosting provider on our list.

Whether you want a web hosting solution or a VPS hosting plan for your Python application, you will explore everything under DigitalOcean Droplets.

Correspondingly, DigitalOcean is the first choice of businesses that want cloud computing services with a reasonable price tag. Yes, DigitalOcean is very economical compared to AWS, Azure, and Google Cloud Platform.  

Features

Droplets – DigitalOcean grants different varieties of VPS hostings through its Droplets. VPS hosting lets Developers select shared or dedicated CPU instances according to their needs.

Kubernetes – This function is known because of the automated administration, extension, and deployment of applications run in a containerized environment. DOKS handles databases, storage, load balancers, and much more.

Cloudways – The projects that want to use a fully managed web hosting service to deploy their Python applications can consider Cloudways. It is not only affordable but also very simple to use. Moreover, around 75k businesses benefit from this web hosting of DigitalOcean.

Spaces – Ready-to-use Content Delivery Network, S3 compatible tools, encrypted and secure environment are available with object storage services of this hosting provider. 

Pricing

The pricing structure of the DigitalOcean App Platform is not only economical, but you can understand it effortlessly.

The monthly cost of Droplets commences from $4, and the starting price of Kubernetes is $12/month. Furthermore, businesses will have to pay $5/month to get object storage.  

4. PythonAnyWhere

PythonAnyWhere is one of the best Python-based cloud hosting providers, founded in 2012. You can call it an all-one platform for Python where you can script the code, run it on a server, and then host the application. 

Luckily, PythonAnyWhere doesn’t only back this programming language, but you will find excellent support for Python frameworks like Django, Bottle, Web2py, and Flask.

Features

Powerful Servers – The servers of PythonAnyWhere are hosted on top of Amazon EC2. That is why users can benefit from heavy-duty processing and robust servers.

Open-Source – PythonAnyWhere is an open-source hosting provider for Python, so that you can approach multiple resources and learning material here. To get community support, developers can also use the Forum section.

Highly Scalable – It is easy to upgrade your instances or hosting program anytime. Yes, businesses can switch from Free to Hacker or Web Dev pricing plan and extend their daily hits and further instances.

Batteries Included – Developers can find comprehensive version support on this platform, usually from 2.7 to 3.10. Moreover, predesigned libraries such as Mechanize, Pycrypto, and NumPy are the core features of PythonAnyWhere.

Pricing

The pricing structure of this Python hosting provider could be displayed into the following five categories:

Beginner – PythonAnyWhere is the first choice of learners, teachers, and new Python developers because of its free hosting. Yes, the beginner plan is entirely free to use. However, it comes with limited CPU and further resources. 

Hacker – With 1 GB disk space, 2k CPU seconds/day, and 100k daily hits, the price of the Hacker plan starts from $5/month. 

Web Dev – This program is applicable to host small applications. With 5 GB disk space, 4k CPU seconds/day, and 150k daily hits, businesses can approach this plan for $12/month.

Startup – The monthly cost of the Startup plan begins at $99, which is helpful for medium-sized businesses. 1000k hits/day, 10k CPU seconds per day, and 50 GB disk space are the key highlights of this plan. 

Custom – PythonAnyWhere authorizes businesses and developers to customize their plans according to their needs under this category. Its cost could be from $5 to $500 per month. 

5. Kamatera

Kamatera is a cloud infrastructure provider that started its journey in 1995 as a subsidiary of an information technology firm.

Right now, this CSP has 18 data centers worldwide. If we discuss its services for hosting, VPS and Cloud hosting are at the top.

By the way, companies also like using Kamatera as a full-stack computing solution because of the availability of managed cloud services, load balancers, servers, networking, hosting, and much more.

Features

Cloud Hosting – With robust scaling and 99.95% uptime, Kamatera enables developers to set up their servers within a few moments and can effortlessly host their Python applications. Cloud Hosting allows Companies to host their enterprise-level projects, websites, apps, transactions, and SaaS products.

VPS Hosting – VPS hosting empowers developers with high-capacity processors. You can divide VPS hosting into various segments based on their CPU strength, likewise type A, B, T, and D.

Block Storage – If you want to get data storage at a cheap cost, then the use of Kamatera is surely advisable. Likewise, coders can approach storage of 100 GB for $5 on a monthly basis. 

Pricing

For Type A, the monthly cost of VPS hosting is $4. You can find 1024 MB RAM, 20 GB SSD storage, and 1k GB for monthly traffic. Withal, the monthly price of Type B and D VPS hosting begins from $9 and $19, respectively. 

6. Render

Render is another popular hosting solution for Python applications. This hosting company provides one-click deployment services.

You can use your Git repository to get started. It also allows you to create a new web service using render. 

This is a great hosting provider which lets you host anything from web apps to APIs, databased, coders and more that too at an impressive speed. 

Features

Autoscaling– Render offer both manual and automated scaling options. On the manual option users need to setup the desired number of instances. On the automated option users need to specify the total number of instances, target CPU and memory.

Private Networking – This is an interesting feature that allows users to deploy services that are reachable via the internet, but only by other services located in the same private network.

Infrastructure as a Code – Using this feature users can deploy services using Yalm files. To do this users need to upload the Yalm files to GitHub, create a new Blueprint, and connect it to Render.

Pricing

The pricing structure is straightforward and offers a free tier for hobbyists and students. The paid tiers start at $19 per month and are ideal for small teams. Organizational pricing starts at $29 per month and it is designed for large team and complex projects.

7. Google App Engine

Google App Engine is a powerful cloud computing and hosting platform that comes with the robust backing of GCP. In this regard, Google App Engine doesn’t only support Python, but you can also use it for Java, C#, PHP, Go, and Ruby projects. 

Features

Fully Managed – Google App Engine enables the developers to focus on the script and takes care of all infrastructure-related chores. This fully managed environment is suitable for hosting Python projects.

App Versioning – If you need a Python hosting provider to support its multiple versions, you can go with GAE. This platform effectively supports all versions of different languages and development tools. 

Secure – GAE guarantees the availability of SSL certificates and an App Engine Firewall to provide businesses with an entirely safe hosting environment. 

Pricing

Developers can smoothly estimate the price of this hosting solution through Google Cloud Pricing Calculator. Withal, you must choose the App Engine option before predicting the cost. 

8. Linode

Linode, another trusted Python hosting provider, has recently been connected with internet company Akamai. The availability of data centers in 135 countries worldwide and 1.3k networks makes Linode a preferred cloud computing and hosting solution for Python developers.

Features

Kubernetes Cluster – Deployments of scripts could be extra fast with the Kubernetes cluster. Linode Kubernetes Engine offers automated scalability and efficient resources without any administration fee.

Total Control – It is another good news for Python developers that they would have complete control over the application and servers during deployment. So, you can install the required operating system and conduct server configuration anytime.

CPU – Linode enables users to pick shared or dedicated CPUs according to their needs. The deployment of containerized applications is also possible with a shared CPU. However, for memory-intensive applications, a dedicated CPU is adequate.  

Pricing

Linode charges $5/month for Shared CPU. This plan includes 1 GB RAM, 1 CPU Core, and 25 GB SSD. Correspondingly, a Dedicated CPU costs $36 for 4 GB RAM, 2 CPUs, and 80 GB storage. 

9. AWS

If you want to host your Python website or application on AWS, you should choose Amazon EC2, AWS Amplify Hosting, and Amazon S3. These products of Amazon Web Services provide powerful processing, computing services, and enough instances to developers.

Features

CPU Configuration – Optimized configuration of CPU resources is an appealing property of Amazon EC2. This function permits the developers to use a particular number of vCPUs during the launching procedure. Similarly, you can deactivate the Intel HT Technology for single-threaded CPUs.

Optimization – You can’t only optimize the rankings of websites through this hosting but also upgrade the compute performance, cost, and scalability.

Pricing

Amazon EC2 is included in free-tier products of AWS. You can approach Amazon EC2 for free with limited resources. However, AWS Amplify costs $0.01/minute and $0.023/GB per month to host an application under its Pay-as-you-go pricing model. 

10. Railway.app

Another cloud platform which is suitable to develop, deploy or even run python applications is Railway.app.

Fortunately, the platform is easier to use which means you don’t need to hire a platform engineer to run and manage your python apps with Railway.app. 

You can use this platform for local deployment of your python applications. 

The amazing features you can enjoy with this hosting provider include high performance, stability, scalability, and easier infrastructure setup. 

Features

Container deployment – Railway allows users to deploy Docker images directly from the source code.

Databases – Railway supports multiple database options including Postgres, MySQL, and Redis.

Volumes – Railway lets users to attach high performance volumes and monitor it via disk usage metrics.

Pricing

The company offers a Free trial to users. The paid plans start at $5 per month and are ideal for side projects. The Pro plan starts at $20 per month and it is ideal for professional developers.

Conclusion

This post presents one of the leading Python hosting providers with their pricing infrastructure and properties.

Hopefully, this thorough guide will help the readers find the right hosting platform to deploy Python applications.