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Home >> Python >> Nodejs Vs Python: Which Is The Better Technology In 2024?
Quick Summary
The server side or backend of the application is considered the main part of your project and the client side completely depends upon it. You may not know but Nodejs Vs Python are both very popular platforms for web app development. It is one of the main reasons why a comparison of Nodejs vs python performance can help you to determine which one is best for you.
Plus, using the right backend technology helps to determine the scalability and performance of your project. When you are doing the comparison of python vs node.js, you need to understand that both were developed in different years so there is an obvious difference in the advantages and limitations. Here in this blog, you can see a clear difference between Node vs Python.
The main difference between Node.Js vs Python is that the runtime environment of NodeJs is completely dependent on JavaScript. Due to its ease of interaction with web servers, developers use Node to utilize the resources.
Python is a preferable choice for building different types of complex solutions for AI, big data, and backend. NodeJs is a perfect choice to build backend and frontend by using a single unified stack.
Node.Js can be described as an open-source, server-side JavaScript-based runtime environment that was developed by Ryan Dahl in 2009. It has gained a lot of popularity among NodeJs programmers because of its ability to build both client-side and server-side high-performing and scalable web applications.
NodeJs follows an event-driven and non-blocking I/O model to handle multiple connection requests at the same time. NPM is one of the largest environments of various open-source libraries and modules to integrate third-party libraries while building NodeJs web applications.
Python is a versatile and high-level programming language that is constantly growing due to its simplicity and ease of readability. It was developed by Guido Van Rossum in 1991 and focuses on easy-to-understand syntax and better code readability. Python is used to build different types of applications like web development, data analysis, machine learning, and automation.
It comes with an extensive library that developers can use to simplify the programming and improve the development speed. Python’s robust and active community of developers constantly updates the libraries and frameworks to extend its overall capabilities. Its code is highly portable so developers can write code once and run it on different platforms.
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Here you can see the key differences of NodeJs vs Python to determine which platform you should use for your next project. This Node vs Python comparison in tabular form will help you to understand which is best for backend development.
Aspect | NodeJs | Python |
---|---|---|
Main Use Case | NodeJs is a server-side JavaScript that is mainly for web applications, real-time applications, and APIs. | Python is a general-purpose programming language used for web development, data science, and machine learning. |
Language | It is a part of JavaScript. | Its code is written in Python language. |
Scalability | It is the best option for handling multiple connections and real-time applications. | Python is a scalable choice for multi-threading and multiprocessing. |
Compatibility Model | NodeJs has an Event-driven and non-blocking I/O model. | Python has a Multi-threading and multi-processing model to handle various tasks. |
Syntax | It has JavaScript syntax to handle asynchronous code. | Python has a clean and readable syntax of code. |
Frameworks | There are popular NodeJs frameworks like Express.js, Nest.js, Meteor, etc. | Python provides some frameworks like Django, Flask, FastAPI, etc. |
Learning Curve | It is a bit harder to learn if you aren’t familiar with JavaScript. | It is beginner friendly so it is easy to learn. |
Architecture | The architecture of NodeJs is suitable for event-heavy apps. | Its MVC and microservices architecture provides flexibility. |
Performance and Speed | NodeJs is high performing due to non-blocking I/O. | Python usually performs well but the speed depends upon the libraries that are used. |
Libraries and Tools | NodeJs provides the most extensive NPM (Node Package Manager) for libraries. | Its extensive Python Package Index (PyPI) provides different types of libraries and frameworks. |
Community | An active and growing community of developers for web development. | It has a large and diverse community of developers for application development. |
Extensibility | NodeJs is easily extensible through NPM and third-party packages. | With the help of PyPI, Python becomes more extensible due to its third-party modules. |
Universality | It is applicable to create strong web-related apps. | Python is applicable for web development, data analysis, and machine learning. |
Data Processing | NodeJs is suitable for real-time data processing and streaming applications. | Python is best for data processing and analysis, with libraries like NumPy, pandas, and SciPy. |
Cross-platform | It is cross-platform compatible and can run on Windows, macOS, and Linux. | Python is cross-platform compatible and can run on Windows, macOS, and Linux. |
Popular Companies | NodeJS is used in popular companies like Netflix, LinkedIn, Uber, and PayPal. | Python is used in popular companies like Google, Instagram, Dropbox, and Spotify. |
GitHub Stats | 97.9K Stars, 27K Forks | 55.8 Stars, 27.7K Forks |
Now if you are wondering about node vs python performance and which technology you should choose, then let me tell you here you will get the answers. You can think about using Node.js to build highly scalable and fully-featured web apps. It helps to build high-loading apps, real-time apps, and many eCommerce platforms.
Python is one of the most popular programming languages with extensive library support that can be used in different types of web frameworks and testing tools. You should think about using Python to build various apps related to Big Data and AI/ML.
It can be hard to choose the perfect programming language in the comparison between Python vs NodeJs. Explore the detailed difference between Node Js vs Python to determine which one is best for your upcoming project. You should connect with a Python development company if you want to create a strong backend side of the application.
Node.js is faster as it is asynchronous.
All things being equal, Node.js will be faster because it can take advantage of I/O concurrency. Since Node.js is not a heavy-weight process, it can serve more concurrent requests than Python. However, all things are never equal and here are two scenarios to consider: If your site is doing mostly CPU-intensive work and nothing else, Python might be faster. If your site is doing mostly I/O-intensive work and nothing else, Node.js will be faster. The crucial factor is whether your site uses mostly CPU-intensive or I/O-intensive work.
For the backend, Python is recommended.
Python is better for the backend in the sense that it is much more readable and straightforward, but it's also better if you have plans to move your application to the web, Android, or iOS, it has a huge impact on the performance of the app and there are just so many tools and frameworks to help with that. On the other hand, Node is better if you have a lot of data to work with or if you're developing applications that are very data-intensive and they need to respond in real-time or in a near real-time fashion. It's single-threaded and if you have a lot of data flowing through your system, then it can get really slow.
Definitely, node is better.
The answer to this question depends on the type of application you are building. If the application is a general-purpose application, with a variety of functions, then python is better. If the application is a simple application with a set of basic functions, then Node.js is better. If the application is a very complex and large application, then Python is again better.
You can say that Node js is better than python because Node js is much faster and built on Chrome’s v8 engine. Node.js is the best option to build different types of real-time mobile applications.
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