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Python vs Node.js - Which backend technology should use?

Python and Node.Js are the top backend technologies that are compared mostly on the web. Technology is continuously growing every day around the world and so is the demand for more mobile and web application development projects. A technology stack is also known as a solutions stack is a set of tools or technology services that are used to develop a web or mobile application. It summarizes the software products, databases, programming languages, platforms, frameworks, and designing tools that are needed to interface with the application.

The backend is also known as server-side programming that is all about the inner workings of an application. The backend stack is important for the app to operate smoothly. A web application is a software or program that utilizes web browsers to perform its task over the internet and is stored on a remote server. The web application is built with web technologies and it allows the exchange of data from the client to the server.

Python vs Node.js - Which backend technology should use

Table Of Contents- 

  • What is Node.Js?
  • What is Python?

What is Node.Js?

Node.Js is event driving and an open-sourced runtime environment for JavaScript and it is not a programming language. Node.Js was released by Ryan Dahl in 2009. One of the most outstanding things about Node.Js is that it is based on Google’s V8 engine. It is written in C++ and used in Google Chrome as it is designed by Google. The main purpose of the engine is to compile JavaScript functions into machine code. Its asynchronous nature helps it to handle concurrent requests without blocking the I/O operations.

What is Python?

Python is an open-source, high-level, and object-oriented programming language. It was released by Guido Van Rossum in 1991. It has lots of libraries, APIs, and ancillary tools available. Python is extensively used for business applications and is conducive to many programming paradigms. It runs mainly on Google’s App Engine. It allows benefiting from numerous libraries and tools as it also developed by Google, the app engine let to develop web apps with Python. Here is the table to get a general understanding,






A high-level language

Runtime JS environment


Simple and compact

Similar to browser’s JS


Slower due to single flow

Faster due to the V8 engine. Single module caching and event-based architecture


Not event-driven

Non-blocking, event driving


A lot of available tools and frameworks. Eg: Django, Pyramid, Sublime text, Robot

A lot of available tools and frameworks. Eg: Migrat, Hapi, Babel,, Express


Not easily scalable

Easily scalable vertically, horizontally, and in terms of typing





Web, mobile, and desktop back end and front end

Web, mobile, and desktop back end only


Managed with Pip. Fast, reliable, and understandable.

Managed with NPM. Fast, reliable, and understandable.


Simple with some technical background

Simple with knowledge of JS

Best suitable for

Image processing software, Games, 3D modeling software, Data science apps, Voice and face recognition

IoT solutions, Streaming platforms, Real-time chats and chatbots, Complex single-page apps, Real-time collaboration apps




It is important to remember that choosing the technology based on the needs as each software project has its own needs and requirements.



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