Numerous scripting and computer languages are used in the field of web development. Web development, mobile app development, web API development, and many other internet-based services all employ these scripting and programming languages.
Many different frameworks are available for developers to employ when beginning new projects. The built-in features of these frameworks speed up and shorten the duration of the complete development process. These frameworks include Laravel, Python, and Node.js.
Laravel
Laravel is an open-source PHP web framework. Routing, HTML authentication, templating, and many other things are all included in server-side functionality. It has PHP code and reusable PHP libraries and components.
Using Laravel, developers can create applications with full-stack apps, pre-defined architectures, templates, web portals, and custom backend logic. Laravel also allows for the management of SaaS products.
In India, 1,372 websites are created using Laravel. Of the top 1 million websites on the internet, 8,432 (or 0.84%) make use of Laravel.
NodeJS
The JavaScript Engine in Google Chrome serves as the foundation for the server-side platform known as Node.js. It uses an I/O architecture that is event-driven and non-blocking. This makes it possible for developers to create multi-device, real-time, data-intensive apps.
Its applications are developed using JavaScript. With Linux, Microsoft Windows, and Mac OS X, it is extremely compatible. Real-time server applications can be executed on it because it is a common platform.
Node.js is used by websites worldwide between 1.4% and 2.2%, according to various reports. Node.js thereby powers at least 30 million websites, if not more, when extrapolated throughout the entire internet. High-traffic websites prefer the runtime, according to W3Tech.
Python
Programming language Python is dynamic, high-level, object-oriented, and has many uses. Python's syntax, dynamic type, and interpreted nature make it a suitable language for scripting.
It supports a variety of programming paradigms, including procedural, functional, and object-oriented methods. It cannot be translated into machine-readable code prior to execution because it is an interpreted language.
The percentage of developers that use Python as their primary language has remained essentially unchanged over the past four years, between 84% and 85%.
Comparison of Laravel, Node.js, and Python
Community
Laravel: On the list, Laravel is placed second with 59,000 stars and 6,247 commits.
Node.js: Node.js is the developer community's sixth most popular technology, according to the StackOverflow 2021 Developer Survey.
Python: Python ranks third among developers' preferred technologies, according to a StackOverflow survey.
Architecture
Laravel: The microframework architecture of Laravel is incredibly effective for e-commerce applications. It comprises a number of modules that work separately and combine extensive Laravel apps based on distinct building blocks. As a result, breaking up a big code into manageable, independent chunks is simple.
Node.js: Asynchronous input and output are supported by the event-driven Node.js system. Since a process is launched as soon as the event occurs, the thread is not blocked. Web chat applications and games may be easily made; thanks to Node.js' event-driven architecture.
Python: Python, however, is not created in this manner. You can use them to develop event-driven and asynchronous applications with the use of particular tools. Like Node.js, Python allows for the creation of asynchronous code through the use of modules like asyncio. It will require more work, though, as this module is absent on only some of the Python platforms.
Syntax
Laravel: The most widely used PHP framework is Laravel, which has a clear syntax, a short learning curve, strong security, and fast speed. Laravel is the most used PHP framework by a wide margin, according to a Github rating and a poll conducted by JetBrains in 2020 that found 50% of PHP developers regularly use Laravel.
Node.js: Most of the time, the syntax is a matter of personal preference. To say one is better than the other is untrue. When used in a browser, JavaScript and Node.js have nearly identical syntax. Therefore, learning Node.js won't be difficult if you are already familiar with JavaScript.
Python: Many developers consider Python's syntax to be its best quality. Python programming requires fewer lines of code than Node.js programming, hence Python programming is more efficient. There are no curly brackets in Python's syntax, which is really simple.
The code is much simpler to read and debug as a result. Even clients who aren't technically savvy can understand Python code because it is simple to read. But once more, it comes down to preference.
Performance (Speed)
Laravel: Several characteristics of Laravel are well known, but its speed is not one of them. However, Node.js is really quick. Node.js is single-threaded, therefore doing complex numerical computations with it should take some time.
Laravel is more reliable than Node.js, despite the latter being substantially faster. Consider Node.js to be more like a motorcycle and Laravel as a double-decker bus. Use Laravel if you intend to run a lot of computing operations; otherwise, go for Node.JS.
Node.js: The V8 engine's interpretation of JavaScript code is the main reason why Node.js performs so well. The software uses fewer resources and runs faster since Node.js processes code, not in the web browser itself.
For instance, a browser does not support TCP sockets. Code execution is accelerated due to the event-driven non-blocking design's ability to handle several requests concurrently. Finally, single-module caching is supported by Node.js, which accelerates app loading and enhances responsiveness.
Python: As interpreted languages, Python and JavaScript are slower than compiled languages like Java. Node.js defeats Python in this scenario. Python processes query much more slowly than Node.js because it is a single-flow language. For projects that prioritize speed and performance or necessitate numerous complex calculations, Python is not the best solution.
Learning Curve
Laravel: Laravel, on the other hand, has a steeper learning curve. It does, however, come with excellent documentation and a variety of tools, such as Laracasts, that aid developers in mastering this PHP framework.
Node.js: Node.js' JavaScript framework makes it simple for new developers to pick it up. If you already know the fundamentals of JavaScript, learning Node.js won't be too tough. Although it introduces some challenging concepts, Node.js is simple to set up. For instance, initially, it could be challenging to understand its event-driven architecture. Even while the event-driven design significantly improves app responsiveness, it takes time for developers to become familiar with it.
Python: Python is the better option if you don't know JavaScript and have to pick between it and Node.js. Python is simple to learn because of its clear and concise syntax. A function written in Python often requires fewer lines of code than one written in Node.js. This isn't always the case, though, as your programming paradigm and style have a big impact on how long your code is. Unlike JavaScript, there aren't any curly brackets, which is a benefit.
Library
Laravel: Although Laravel is open-sourced and supported by a sizable community, it also encourages the use of less trustworthy third-party libraries.
Node.js: Libraries and packages in Node.js are managed through the Node Package Manager (NPM). It is one of the biggest repositories for software libraries. Simple, quick, and well-documented are all characteristics of NPM.
Python: Pip maintains Python libraries and packages and stands for "Pip instals Python." Pip is swift, reliable, and easy to use, making it straightforward for developers to get started with it.
Scalability
Laravel: Laravel has been used by well-known apps for years, and they are scaling massively without any restrictions. Laravel inherits PHP's scalability since it supports organizations that are rapidly evolving. With the appropriate load balancer, Laravel may achieve significant horizontal scaling.
Node.js: Building applications with Node.js is very scalable. Node.js uses non-blocking I/O and an event-driven paradigm to handle multiple concurrent requests, which can accommodate several tech giants. The event-loop mechanism additionally enables the server to accept a huge volume of queries.
Node.js gets the best degree of interoperability with microservices by breaking code into smaller pieces. Because of this, it's simpler to divide up tasks among various development teams and build applications more quickly.
Python: Multithreading is necessary for an application to be scalable. Multithreading is not possible in Python because of the Global Interpreter Lock.
Since Node.js does allow for the execution of numerous jobs at once, Python's scalability in an application is inferior to that of Node.js. When working on big application development projects, it becomes a little challenging because it only permits one task at a time.
Testing
Laravel: Every tool you'll need to test the app environment on various levels is included with Laravel, including the option to run mock tests using dummy application scripts and events. It also comes with rich testing documentation.
To make the testing process easier to manage, Laravel tests the code in this case at two distinct levels, known as Unit tests and Feature tests.
Node.js: Node.js has adequate testing and debugging features because of its large ecosystem of third-party packages. For Node.js projects, there are numerous automated testing tools and frameworks available, such as Mocha, Jasmine, Lab and Code, Jest, and AVA. To give your users a bug-free experience, you can also use testing libraries including Chai, Mocha, and Jest.
Python: Python and Sublime Text are commonly used together to edit codes. Automated testing is made easier by the Robot Framework. A tonne of functionalities is also added by well-known Node.js frameworks like Django and Web2Py.
Conclusion
Python, Node.js, and Laravel. Js are widely used and effective backend and web programming languages. It all relies on the specific use case or circumstance. It is a good idea to consider how at ease you would be utilizing any of these technologies.
When making a choice, you need to carefully consider all the aspects of your project, from the app's concept to the necessary funding. After making your choice, you can hire dedicated python developers or other technology-specific developers that have the knowledge and experience needed to make your app idea into a reality.
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