NodeJS vs Python 2024: Which Backend Framework You Should Choose and Why?

Table of Contents

Introduction of NodeJs and Python in 2024

Node.js is a server-side platform developed on Google Chrome’s Javascript Engine. Node Js allows developers to develop data-intensive real-time web applications. Node Js is written on JavaScript and allows to run applications on various operating systems such as Windows, Linux, and Mac OS. Node Js has a large ecosystem of open-source libraries and clean source code that provides fast and scalable development services.

Python is an object-oriented programming language used to create dynamic web applications. The syntax of Python and dynamic typing make it an ideal programming language for scripting. The programming language Python has developed almost 30 years ago in 1991. It was developed to provide high readability, scalability, and fast development.

Python provides an open-source app development platform with highly productive libraries that make the development process easier and more efficient.

Node vs Python Performance Statistics

This blog post section will provide the exact statistical difference between NodeJS vs Python in 2024. Node js is the preferred choice for web applications and website development, whereas Python is suitable for backend applications, machine learning, and numerical computations.

Statistics of Node.Js

• According to Statista, Node.js is the sixth most popular and highly used language for development.
• Almost 85% of business owner uses Node.js for their web app development.
• Using Node.js for application development reduces almost 58% of development costs. Also, it increases the application performance by 50%.
• The average hourly rate to hire Node.js developer is $18-$38.

Statistics of Python

• According to Statista, Python is the third-most preferred and highly used programming language for application development.
• Python helped develop applications related to artificial intelligence, Machine learning, and many others.
• According to Upwork, the average hourly rate of Python developers is around $20-$40.

Pros and Cons of NodeJS vs Python

Now that we understand the basics of NodeJS and Python, let’s understand their pros and cons in detail.

Advantages of Node js over Python

Flexible in the Development of Microservice
For the development of microservice architecture, it is required to have multiple executions of components and development. Node Js has a package manager that provides free components to allow developers to work on multiple modules at the same time. With the usage of Microservice development, it becomes easy for organizations to maintain the testing process and quality of products.

Strong Technical Stack
We already know that why use Node Js and how it works on JavaScript allows us to access the whole JavaScript stack, resources, etc. Also, you get full support from a strong, active community. Using Node.js, app development can be easily done with the MEAN technical stack, which has the best database support and front-end and back-end support for scalable development.

Cost-Efficient
Node Js is highly compatible with an application’s front-end and back-end development, which avoids hiring two separate resources for the development. This allows to save overall development costs and fasten the development process without compromising on the quality of the application.

Disadvantages of Node Js

Unstable API
One of the key disadvantages of Node Js is repeated API switch that creates back-end incompatibility. This incompatibility directly affects the changes in codes that make it more unstable.

Callback Hell
In Node Js, there is the problem of nested callback function result as callback hell due to the asynchronous nature of Node Js. Whenever the multiple callback situation occurs, it decreases code quality and becomes hard to solve and maintain.

Inability To Process CPU-Bound Task
Node js cannot execute heavy multitask as it works on a single thread basis, making it difficult for Node Js to execute CPU-bound tasks. Whenever any request is received, the system will complete the request once and only accept the other request. This process slows down the system and ends up in a massive delay.

Advantages of Python

Quick Development
Python provides great readability and fast code interpretation, making it easier to fast-forward the development cycle. Compared to other languages, it requires less code for development, which automatically saves development time and helps develop fast applications.

Flexibility
Python is highly compatible and flexible with other programming languages and platforms. It becomes easy for developers to integrate other tools, languages, and platforms whenever needed in product development. A few examples where Python can integrate well are .NET, C#, C, and many others.

Large Library
Python has large library support that helps develop any application, including game development, web development, machine learning, etc. It gets easy-to-use libraries for development and allows reusing the library code for custom development. Checkout the most popular Python libraries for machine learning.

Disadvantages of Python

Not Compatible For Mobile App Development
Python is not compatible with mobile app development as it is not a preferred language for native app development. Moreover, iOS and Android both do not support mobile development on Python.

Slow Execution Speed
When it comes to NodeJS vs Python speed, it is comparatively slower than other programming languages as it decreases the execution time. The code execution in Python is done line by line, leading to a web application’s overall slow execution.

Memory Exhaustion
In any web application development, it becomes necessary to have less memory exhaustion to maintain the speed and performance of an application. Python has high memory consumption issues, leading to bad quality solutions.

NodeJS vs Python Comparison

Node js is faster and used to build both client and server-side network applications because it can handle higher memory in demands, while Python is not so good choice for memory-intensive apps but an ideal choice for back end applications. Let’s explore the difference between NodeJs and Python in detail.

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NodeJS vs Python for Web Development: What is Exact the Difference?

Regarding comparison, it is difficult to choose between NodeJS vs python for backend as both technologies are ideal for app development. Especially when both NodeJS vs Python are highly preferred for digital product development. Let’s explore this in-detail.

NodeJS vs Python Comparison Based on Performance Parameter

When it comes to Node Js performance, it is compatible with multitasking. Also, it doesn’t slow down the server performance as it is built on the fastest JavaScript engine available in the market. Moreover, it is capable of handling the flow of large data.

On the other hand, Python performance is not as fast and smooth as Node.js. It slows down the speed as it is not compatible with working parallelly. However, it still provides fast application development.

Which one Has Easier Learning Curve Node or Python?

Node.js learning curve is not that hard if you have a basic understanding of JavaScript. Most of the time, it gets difficult to follow the steps of installation and documentation for someone due to the event-driven programming concept of Node.js.

Python has very easy to understand in comparison to Node.js. It uses simpler syntax and small-length code for application development than any other programming language.

Does Node Gets More Community Support than Python?

Node.js has a large active community of highly experienced and skilled users. On Github, Node.js has 23.4K Fork and 87.4K Stars, making it an effective community.

As we have understood, Python is an old programming language. It also has a globally active community of developers that are helpful whenever you get stuck in application development. On Github, Python has 23.1K Fork and 44.7K Star. In the community comparison between NodeJS vs Python, Node is a clear winner.

NodeJS vs Python Error Handling

Node.js has multitasking features, making it easier to handle and solve the errors and fix the bugs while application development.

When it comes to Python doesn’t have the feature of multitasking. However, it has the simplest code and syntax, making it more convenient to solve the error handling problem.

Which One is More Scalable Node or Python?

Developing a server-side part of an application, it requires to maintain the application’s scalability. Node Js uses a single thread to manage non-blocking I/O calls. The concern of Node Js scalability in application development is worth avoiding as it provides an application’s easy horizontal and vertical scalability. Node Js provides scalability on various servers and improved performance on a single server.

To have a scalable application, it is required to have multithreading. However, Python uses its Global Interpreter Lock, which doesn’t allow multithreading.

Therefore Python Scalability in an application is not as good as Node Js as it does allow to have multiple tasks simultaneously. It only allows one task at a time which gets a bit difficult while working on large application development projects.

NodeJS vs Python Use Cases

Top use cases of Node JS:

• Web Streaming Applications
• Single Page Applications
• Real-Time Chat Applications
• Real-Time Building Collaboration Tools
• NodeJS vs python for microservices Application Architecture

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Most Popular App Built with Node Js

Netflix:

Netflix has been the world’s largest video streaming platform. The makers of Netflix want their application to be quick, modular, and fast, so they have chosen Node.js to develop their user interface. Using Node js, Netflix has observed a 70% reduction in loading time in their web application.

Uber:

Uber is one of the first big organizations to start implementing Node Js in their product development. Since the beginning of Node.js usage, Uber has received fast operational speed and increased performance.

Paypal:

With the help of Node.js, Paypal has transformed its business model from an online payment service to a payment platform. The main reason behind choosing Node Js was to allow both browser and server applications to be written in JavaScript.

LinkedIn:

One of the most trusted and highly preferred professional social networking platforms that have chosen Node Js to increase the performance of applications.

Top use cases of Python:

Python has various use cases that business owners can choose for app development by keeping their business model in mind. Below are the top Python use cases:

? Software & Web Development
? Automated Testing
? Web Crawlers
? Optical Character Recognition & Image Processing
? Data Science
? Online Game Development
? AI/ML Applications

Most Popular Apps Built With Python

Facebook:

Python backs Facebook to remain on the top list in the domain of social media. Python was used to have a reliable codebase, which is why 21% of the code of applications is based on Python.

Instagram:

Without Python, Instagram wouldn’t have existed as it is developed on Django (Python Framework). Instagram still uses Django to provide a highly secure platform to its users where they share videos and photos.

Spotify:

It is one of the largest and most popular music streaming platforms that uses Python to manage user preferences. Python has provided full support to Spotify with speed, reliability, scalability, and data analytics.

Quora:

Quora has been the popular and biggest website for questions and answers, which was created with Python in late 2000. In the initial stage, Quora was developed on Php. However, the transition took place to get highly increased development speed.

Node vs Python for Backend What To Choose When?

Node.js is based on JavaScript, widely used in application development for both front-end and back-end. Node Js can be used for mobile backend as a service, mobile applications, desktop applications, IoT solutions, and Cloud solutions. On the other side, Python has easy readability, making it ideal for all platforms for application development except Mobile app development. Moreover, Python is highly preferred and ideal for cloud and IoT application development. So let’s understand when to choose between Node or Python for the backend.

When To Use Node Js?

Node Js is highly preferred for scalable applications as it is completely developed on Chrome’s Javascript runtime environment. Node Js offers great speed and performance in developing Real-time Applications, high-load apps, ecommerce, and many others.

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When To Use Python?

Python is one of the oldest programming languages with extensive libraries that provide full support in testing tools such as web frameworks, data analytics tools, and many others. It has one of the largest ecosystems in the whole programming community. Therefore, if you want to have an application built in the field of Big Data, AI/ML, and GUIs (Graphical User Interface).

Node vs Python 2024: Key Takeaway

Frequently Asked Questions (FAQs)

Which is faster, NodeJS or Python?

Node.js is faster than Python because it uses the V8 engine to interpret the codes. It has single module caching and has an event-driven architecture, whereas Python uses single-flow, which means it executes statements one by one as they appear on the screen.

Which is better for backend Python or NodeJS?

Both Python and NodeJS can be used for back-end development. Python is a better option for web development, financial technology, and machine learning. Whereas NodeJS is a better choice for developing IoT-based apps, online chat apps, video streaming sites, single-page apps, and other I/O-intensive web applications and web apps.

Is Python slower than Nodejs?

Python is slower than Nodejs because it is single-flow, which means that it executes statements one at a time, making the request processing slower. But Nodejs uses the V8 engine to interpret the codes making it comparatively faster.

How fast is Python compared to NodeJS?

Python is not faster than NodeJS. Node.js compiles the codes directly into machine code, giving faster implementation. While Python uses single-flow means, the requests are processed sequentially, making Python slower than NodeJS.