PythonAnywhere Reviews & Product Details

Key Benefits of PythonAnywhere

One of the main advantages of PythonAnywhere is that it eliminates the need for local setup. You can write, run, and deploy Python code directly in your browser, so there’s no need to install Python or any dependencies on your own computer. This makes it especially convenient for beginners or for quickly prototyping ideas.

The platform also features built-in hosting, allowing you to easily host web applications such as those built with Flask or Django. You don’t have to worry about managing servers, and it includes support for HTTPS and domain configuration.

PythonAnywhere comes with a preconfigured environment, offering Python interpreters, popular libraries, and essential tools already installed. This saves significant time compared to manually setting up your own environment.

Because it’s cloud-based, you can access your projects from any device with an internet connection, making it easy to work from anywhere.

The integrated console and scheduler are also useful features. You get a web-based terminal and the ability to schedule tasks, like cron jobs, without any additional setup required.

There is a free tier available, which is ideal for small projects, learning, or for students and hobbyists who want to try things out without a financial commitment.

Database support is another plus. PythonAnywhere provides MySQL by default, and you can also connect to external databases such as PostgreSQL.

It’s also a good option for teaching and collaboration. Teachers can use it in coding classes, as students don’t need to install anything locally.

Compared to alternatives, PythonAnywhere offers a lower barrier to entry than setting up services like AWS, Azure, or a VPS. Deploying small apps is simpler than using Docker or Kubernetes, and you don’t need SSH or command-line expertise for basic tasks. Overall, it’s a great choice for quick experiments and small-scale production applications. Review collected by and hosted on G2.com.

Least Helpful Aspects / Downsides

The free tier on PythonAnywhere comes with significant restrictions, including limited CPU time, storage, and outbound internet access. Additionally, you are unable to install custom packages that require compilation, such as certain scientific libraries.

Outbound internet access is also restricted for free accounts, preventing arbitrary external API calls or connections to outside services. While paid plans offer more flexibility, outbound access remains somewhat controlled.

Performance can be an issue, as shared servers often result in slower speeds compared to dedicated hosting or VPS solutions. This makes PythonAnywhere less suitable for high-traffic or resource-intensive applications.

Customization options are limited as well. Without full root access, you cannot perform advanced configurations like setting up custom web server settings or running Docker containers.

Storage and file size limitations can pose challenges, especially for applications that rely on large datasets or are media-heavy.

For complex deployments, such as those requiring microservices, containerization, or advanced CI/CD pipelines, PythonAnywhere may be too basic. It is generally better suited for smaller applications or prototypes.

Another downside is that the platform sometimes lags behind in offering the latest versions of Python or system libraries, which can lead to compatibility issues for projects that depend on cutting-edge features.

Finally, while the pricing is reasonable for small-scale apps, costs can increase rapidly if you require additional CPU, storage, or internet access.

In summary, PythonAnywhere may not be the best fit for large-scale production applications with heavy traffic, projects that need custom OS-level configurations or Docker, or those requiring unrestricted internet access and large-scale data processing. Review collected by and hosted on G2.com.

The deployment process is very quick and hassle free, better than anything I've come across. You get one server and two consoles for free per account. You can git clone your project or upload it manually to the file system and even perform text edits afterwards. Deploying Django projects are as easy as selecting your virtual environment, project directory, static and media files directory and configuring the wsgi file. You can also choose between MySQL/PostgreSQL if needed. The whole process can be done in less than 30 minutes if you're experienced enough. And since you get a free tier, this is almost the perfect place to test out your project before putting it in production. And the pricing to scale up your project is very generous Review collected by and hosted on G2.com.

Although the pricing is probably the best you can get, the storage is relatively low and the performance is not particularly great, unless you use the startup plan.

It's great for students and building relatively small projects in production, but for very large projects I would recommend either AWS or Azure instead Review collected by and hosted on G2.com.

Previously, I have been using various platforms to code and run it, wherein they are hesitant because of their complex installation process. When it comes to PythonAnywhere, it has given me a place where I can code, run and even host instantly over the internet. The best things I like about PythonAnywhere are its portability and flexibility. Review collected by and hosted on G2.com.

Besides being an amazing platform for all development activities, the only thing I'm concerned about is the prices. Even though it provides certain basic functionalities with limited storage, it might not be sufficient for small firms or startups. Apart from this, it is an excellent platform for development in python. Review collected by and hosted on G2.com.

It enables me to create and run basic Python programs in my beginners course. The cool thing I relly liked is it provides us with some memory and storage spaces ro store and run the program whereever need since it's running on the cloud. It also provides the bash scripting tools which helped a lot Review collected by and hosted on G2.com.

I was not able to upload multiple files using the uploads. I makes a little creepy when I try to upload files one by one. When using the site from mobile I face some difficulty in access things. Other than these two concerns the PhythonAnywhere is a fantastic tools for creating and running the code Review collected by and hosted on G2.com.

I am using PythonAnywhere for my Python programming class for two years as suggested by the textbook that I used. I have a good experience with its user interfaces. The student is also enjoying it. It is literally anywhere because you can use it on your phone, tablet, or desktop. I also love their customer support. They are very friendly to accommodate my needs as a teacher/professor. Review collected by and hosted on G2.com.

There is some room for improvement for PythonAnywhere. The downtime of the PythonAnywhere is pretty disturbing after I promote it to my student or while we are in class. This is my major dislike. Other than that, PythonAnywhere is superb. Review collected by and hosted on G2.com.

Since PythonAnywhere is a cloud platform via which one can run their Python program without installing Python on their system and setting it up, it makes it so much easy to run Python programs from ANYWHERE!

The key highlight is that one can run Python programs from any device and any operating system just with the help of the internet.

One of the best parts is that people who have poor computers or computers that do not have much processing power can also now run complex and resource consuming python programs Review collected by and hosted on G2.com.

The user interface is less intuitive, updates to the user interface can be made to make it feel more intuitive.

Does not provide support to upload multiple files at once or upload a whole folder Review collected by and hosted on G2.com.

The capability of the website to help in deploying and running python code from any where in the world.

In fact many a times a small mobile phone or a tablet is more than sufficient to work with this beautiful website. Review collected by and hosted on G2.com.

This is at the sarcastic side.. The website for a new creation of an account says that the user should be more than 13 years old... These days students and kids age less than the age group of 10 years code Python!!! Time to change.. Review collected by and hosted on G2.com.

PythonAnywhere has many cons, technically. It provides us with many development options like running and validating Python scripts and building Django, flask web apps. And Its User-interface is smooth like even a newbie using PythonAnywhere can understand the flow of the application. Review collected by and hosted on G2.com.

PythonAnywhere is such an application where finding flaws is a difficult job. Even though it provides some free access but it is limited, and the pricing plans are a little unaffordable for small firms. The best thing is it provides its users with free hosting. Review collected by and hosted on G2.com.

Being able to run Python code directly in the cloud is an excellent option. In addition, being able to test the same code with different versions of Python greatly facilitates programming time. Review collected by and hosted on G2.com.

It should have better integration with different development tools, which would be very useful and great. For the rest, it offers many excellent options in terms of basic services such as additional databases. But, apart from MySQL and Postgres, an alternative would be MongoDB. Review collected by and hosted on G2.com.

The best thing about PythonAnywhere is that it is very simple to use and set up. It helps to host Flask and Django projects in the public domain. It helps to setup different environments for development, QA testing, UAT and deployment. It also reduces lots of DevOps work and helps developers to focus on desirable goals. Pre-installed libraries help to improve performance and help in reusability. Review collected by and hosted on G2.com.

The platform's testing can be challenging; it tends to consume more memory. Code pushing requires GIT or some code repository in PythonAnywhere. Also, all errors are caught while the program is running, even syntax mistakes. we need to fix all the mistakes to get the output. Review collected by and hosted on G2.com.