Node.js vs Python — What to Choose?

Node.js vs Python are among the most popular tools for web backend development.

You should be aware that Node is only a JavaScript runtime environment and not truly a programming language. Python, on the other hand, has been a reliable programming language with proven features for three decades.

Both Node.js and Python have been growing in popularity over the last few years. Comparing Node vs. Python, StackOverflow claims Python to be one of the most used programming languages while Node.js is the best one for server development. In this article, we’ll take a look at the comparison of Node.js vs. Python, examine industry applications, and focus on the main technical characteristics

What is the difference between Node vs Python? Find out in our article.

What is Node.js and when to use it?

Node.js is a runtime environment that’s based on JavaScript. Using Node, developers can build backend and frontend with a single unified stack. This distinctive feature allows teams to use the same skill set, quickly onboard new team members, and avoid re-hiring.

Node.js is a cross-platform, open-source, single-threaded runtime environment for creating networking and server-side applications that are quick and scalable. In contrast, Node.js vs Python is a runtime environment for JavaScript that can be executed outside of a browser. Real-time applications may be created using Node.js thanks to its event-driven, non-blocking I/O architecture.

Node.js is great for real-time web projects (chats, trackers, API). The environment is used by Microsoft, Netflix, Walmart, PayPal, IBM, LinkedIn, GoDaddy, and other corporations.

Pros and Cons of Using Node.js

Pros

Node was created with web development in mind, so it addresses its main challenges. The crucial advantages include fast performance, regular library tools updates, flexible syntax, and efficient code sharing.

Powerful tech stack

Node.js is based on JavaScript, so you get access to the JS tech stack, its resources, and the community. Working with Node.js gives you the possibility to develop projects with MEAN Stack—a combination of MongoDB, Express.js, Angular, and Node.js to cover all needs of web development:

• MongoDB for data management;
• Express.js for efficient backend development;
• Angular for front-end, running JS code to create a dynamic user interface;
• Node.js for backend JavaScript development services.

Fast event-based model

According to Toptal’s analysis of server tools’ speed and efficiency, Node.js is 2-3 times faster than Java, PHP, and Go. Node.js uses event-based programming to perform an algorithm of operations regardless of user actions. When a user clicks on a button, the program quickly presents a new page, or sends a message, or displays new content.

Flexible for microservice development

Having a package manager with free modules, developers can edit multiple modules at the same time, which is perfect for microservice architecture. PayPal and Netflix used Node.js to switch from monolith to microservices. This transition helped companies divide functionality in smaller chunks, improve testing and maintenance quality, and allowed teams to update on several features simultaneously thanks to the non-blocking nature of Node.js.

Rich ecosystem

Node.js package manager is also a collection of open-source JS plugins. NPM collects more than 840,000 libraries. JS and Node.js developers use NPM modules in more than 97% of web apps.

Cons

Together with JavaScript advantages, Node.js inherited some critical disadvantages. Mostly, the problem with Node.js is failing to adapt certain functionality to the needs of backend while copying features from a front-end language.

Performance issues

Node.js is based on JavaScript syntax that processes tasks with little CPU consumption rates. As you use Node.js for the backend runtime environment, CPU-bound tasks appear a lot more often. The structure of Node.js is sometimes inconsistent with high-load-CPU processes, which limits developers and slows down performance.

Immature tools

The core functionality has been tried and proven by the large development community, so there are barely any performance issues. Less popular NPM modules are poorly built, have bugs, and lack documentation. Node.js is open-source, so its updates don't undergo strict quality control, preferring a quantity-over-quality approach.

Callback hell

Node.js uses callbacks to track finished tasks. As project scales and the number of active processes grows, callbacks increase. At some point, developers risk getting lost in callbacks and miss crucial bugs or technical debt.

Challenges with Node.js

Overall, we can point out three main challenges a developer may face while working with Node.js:

• Extensive tech stack. The high number of poorly monitored tools leads to inconsistent performance and a decrease in quality.
• Tech debt accumulation. Callback hell and low-quality NPM modules lead to code bugs, readability issues, and technical debt.
• Scalability problems. As the project grows, it gets harder for developers to spot a faulty module or read through callback hell. Testing and maintenance team has to spend a lot of time on cleaning up the code over time and schedule constant tech debt management sessions.
• Event-driven. Comparing Python vs Node, all network events are sent asynchronously and handled by the Node.js event loop. As a result, applications that are heavily based on polling or long-running operations can experience performance issues.
• Non-blocking. It allows multiple tasks to run in parallel. However, this can lead to performance issues if the tasks are not properly written.
• Single-threaded. Only one thread can run at a time. This can lead to performance issues if the application relies on certain system calls or libraries that are not available

What is Python and when to use it?

Python is a universal programming language that is used for AI development, big data, scientific computing, automation, and backend development. Python is the choice for complex web projects that process a lot of data, rely on difficult calculations, and use AI and automation.

Guido van Rossum, well known as the inventor of the Python programming language, published the initial version of Python in 1991. It is the most widely used language for machine learning, and according to GitHub, it is now the second most popular language worldwide.

Google's App Engine is mostly where Python runs. Additionally, it offers the advantages of several libraries and tools that are employed and updated by developers all around the world. Let’s review Python's benefits and drawbacks to make the comparison Python vs Nodejs.

Pros and cons of using Python

Both Node.js and Python are used for web app development, but Python has a lot more applications to offer. Let’s take a look at the advantages and disadvantages of Python.

Pros

Though Python is not a language specifically for web development, there are some advantages worth mentioning.

Simplicity

Python syntax is very conversational, so the code files are highly readable. Getting the hang of simple tasks takes 10-30 minutes.

AI development and machine learning opportunities

Python has a lot of built-in AI libraries (Pylearn2, Tensorflow for neural networks, and Scikit-learn for data analysis).

Multiple spots for library hosting

Many hosting providers have native support for the Python code and allow integrating APIs and additional plugins. You can use AWS, A2 Hosting, TMDHosting, Digital Option, Heroku, and other popular platforms.

Cons

Due to its universality, Python is not the most efficient language when it comes to web development.

Low speed

The backend comparison of Java vs. Node.js vs. Python speed showed that Python is a lot slower in handling server-side operations. The language has many abstraction layers that take additional time to process to make it easier to read.

Mobile development struggle

Python is not a native Android or iOS language, and it’s not the best choice for hybrid development either. You can adapt the language to mobile app development services by using frameworks and platforms, but the performance will be slow.

Challenges with Python

Let’s sum up the main challenges of using Python:

• Module name conflicts. Python modules are defined by their location and the location of their main scripts. Whenever you input a module, there’s a chance to confuse a name or location, and the input will not go through.
• Poor handling of memory-intensive processes. Python manages data efficiently with automated data collectors and fast memory management. However, when the system is large, these CPU-heavy processes tend to slow down.
• Interpreted, which means that the compiler does most of the work for you. This can make debugging difficult, and it also leads to code that is difficult to maintain comparing challenges of Python vs Node js performance.
• Dynamically typed. Python declares the type of the variable before you use it. This can make the code harder to read and understand, especially if you are not familiar with the language

Differences between Node.js and Python

Now that we’ve reviewed the advantages and disadvantages of these tools, let’s compare the difference between Node.js and Python.

• Scalability. Node’s scalability is easier to achieve due to its asynchronous structure, but Python works better for complex data-intensive projects.
• Learning. Python is easier to learn at initial stages but at later stages, it becomes more complex. The prior knowledge of JavaScript will make learning Node faster.
• Use cases. Node.js works best for microservices and small platforms: real-time apps, chats, messengers, content feeds. Python is more versatile — it accommodates big projects and allows AI integration and big data operations.
• Memory-intensive processes. Node.js has multi-threading for CPU-intensive tasks. Python is slower but it can pull off more complicated operations.
• Node.js vs. Python performance. Though Node.js is capable of integrating fewer tech stacks than Python, both platforms have almost the same performance.

The Python vs. Node.js comparative table

Conclusion

Node.js and Python are both used for backend operations in web development. Node.js, however, is focused only on the backend, whereas Python is a general-purpose language, suited to many fields and tasks. Depending on the use case or problem you're attempting to tackle with Python vs Node.js, there is no clear winner. It is also helpful to think about how at ease you would be using any of these technologies.

Node.js is fast, lightweight, and has full-stack JS development. Python, on the other hand, has a simple structure, large AI and ML libraries, and an active development community. If you like, you can also check Ruby on Rails vs Node.js comparison.

To decide whether Node.js or Python fits your project best, you need to know which technologies you’d like to incorporate and define the basic functional requirements of the product. Contact TechMagic development team — we’ll take a look at your concept and suggest the best tech stack node js vs python based on your needs.

FAQ

1. Which is better: Node.js or Python?

   Python provides a robust framework, while Node.JS provides more functionality. Python has advantages over Node.JS such as better multi-threading, more libraries, and more support for data structures. Node.js. has more modules, more web servers, and more apps. Depending on the needs of your app project, you must decide on Node.js or Python.

2. Which is faster: Python or Node.js?

   Node.js has an advantage over Python in speed because Node.js is based on Chrome's powerful V8 engine, it runs quicker than Python. Mainly, Node.js is used for mobile real-time apps.

3. When should you use Node.js?

   For real-time messaging apps, heavy-load apps, e-commerce websites, and many more apps that need quick processing, you may use Node.js, which offers high performance and processing speed.

4. When should you use Python?

   Python is the best choice for scientific applications, Big Data solutions, government initiatives, and any other projects where stability and consistency are crucial.