Anjali Chaudhary


About Anjali Chaudhary

Anjali is an engineer turned content writer and editor who has experience in writing blogs, guest posts, website content, social media content, video scripts, and more. She has worked with a few digital marketing companies (Wheezart, D.M. Challenger) and eCommerce platforms in the past.

Node.js vs Python
For Employers

Node.JS vs. Python: What Should You Choose?

This Node.js vs. Python post compares the two technologies in detail to help you make an informed decision and build high-performance apps for your next project.

The server-side or backend of an application is the core foundation of any project. It is this foundation that supports the client-side, user-facing elements of a web application. And thus, picking the right backend technology can be a gamechanger when building high-performance applications. This post compares two of the most sought-after backend technologies, Node.js vs Python, to help you make an informed decision while picking one for your project.

Let’s get started!

What is Node.JS? 

Node.js is an open-source, JavaScript runtime environment that runs on Chrome’s V8 engine and executes code outside the client’s web browser. 

It is a cross-platform and asynchronous event-driven environment designed to build fast and scalable network applications. Node JS developers make optimal use of this technology for server-side programming and performing non-blocking I/O operations. 

What is Python? 

Python is an interpreted, high-level, general-purpose programming language with dynamic semantics. It is widely used for backend development and follows an object-oriented approach. 

Features like dynamic binding, built-in data structures, dynamic typing, etc., make Python a perfect choice for RAD (Rapid Application Development). It is also used as a scripting or glue language to connect the existing components. 

Python developers are responsible for building the backend of the web, mobile, and desktop applications. 

Node.JS vs Python: Comparing the pros, cons, and use cases

Node.js vs Python

Node.js Pros and Cons

Node.js vs Python

Python Pros and Cons

Top five Node.JS use cases

  • Netflix and Trello use Node.js to build single-page web applications.

  • LinkedIn uses Node.js due to its performance efficiency and scalability.

  • PayPal prefers Node.js as it provides faster development, improves the average response time, and reduces the lines of code significantly.

  • Uber relies on Node.js for building its matching systems as it provides faster deployment and processes enormous amounts of data efficiently, thus meeting Uber’s business requirements.

  • eBay uses Node.js as it offers speed, streamlined development, and automation while handling I/O bound operations.

Top five Python use cases

  • Instagram uses Python for developing its backend and scaling service infrastructure. 

  • Google relies on Python as it offers simplicity, speed, and ease of deployment.

  • Spotify uses Python for performing data analysis, building backend services, and speeding up the development process.

  • Quora prefers Python due to its readability, ease of writing code, and availability of many frameworks such as Pylons, Django, etc.

  • Industrial Light and Magic (ILM) opt for Python as it offers easy interoperability with C++ and C and helps in building efficient production pipelines & extending existing applications.

Node.JS vs Python: Which one’s the best for your project?

Understanding the functional requirements is one of the most critical factors that determine the success of your project. 

Once those are clear, you can use these criteria to decide which backend technology fits your project best:

  1. Learning curve and syntax

    The syntax of Python is pretty straightforward. It requires fewer lines of code, making the code easy to debug and understand.
    Any developer with a strong technical background can quickly start working with Python. Node.js syntax is identical to JavaScript, and developers with previous experience in JavaScript often find it easy to understand Node.js. 
  2. Architecture

    Node.js is an event-driven runtime environment with the ability to perform non-blocking I/O operations. It can process thousands of concurrent requests without incurring thread context switching.
    These features make Node.js the best pick for real-time web apps like chatbots and gaming applications. On the other hand, Python has an architecture that’s synchronous and, therefore, is slow in performance and speed.
    But, for parallel processing and event-driven projects in Python, developers can use libraries like Ayncio and modules like CPython, respectively. 
  3. Libraries

    Pip is the default package handler for Python libraries and packages. Python has over 220K packages for various categories, including data science, image processing, calculations, etc.
    Node JS libraries and packages are handled by Node Package Manager or npm, with over 1.3 million well-documented and easy-to-use packages. 
  4. Speed and performance

    Node.js executes the code outside the client’s browser, and it also provides a non-blocking architecture, hence offering high speed and performance. In addition, Node.js enables caching fetched data which makes the apps responsive, reducing load time.
    In comparison to Node.js, Python is slower as it does not support multithreading. Therefore, Python won’t be a good choice if your project often needs to recall data from the web servers. 
  5. Scalability

    Python lags in scalability as it does not support multithreading and uses GIL (Global Interpreter Lock (GIL). Python is also an interpreted language, which makes it a slow programming language.
    Node.js offers high scalability as it supports multithreading and comes with a cluster module that can handle the full processing power of the machine. With Node.js, developers can scale their apps vertically and horizontally by adding more resources and new nodes to the system, respectively. 
  6. Error handing

    It is essential to have a robust error handling system to offer your customers a better user experience and write clean and reusable code.
    Python is better in error handling due to its clean, readable code and compact syntax. As a result, it takes less amount of time to troubleshoot and fix errors.
    Node.js can debug errors, but it becomes difficult to do so when multiple requests are processed concurrently to achieve high performance with multithreading.
  7. Extensibility

    It’s easy to extend both Python and Node.js. Developers can use Python frameworks such as Robot, CherryPy, Django, Flask, etc., and APIs to extend the language’s features and capabilities.
    The functionalities of Node.js can be extended using its built-in APIs, frameworks such as Meteor, Hapi, Fastify, etc., testing frameworks such as Jasmine, and more. 
  8. Community

    When it comes to finding peer support and online resources, Python and Node.js have large and active communities.
    Their community forums offer excellent opportunities to collaborate with developers from across the globe with different levels of experience and expertise. Skilled developers worldwide are free to contribute to Node.js and Python, including their packages.

Node.JS is suitable for projects like:

  • Messengers and chatbots

  • Complex single-page apps (SPA)

  • IoT implementations

  • Collaboration tools and systems

  • Data streaming applications

  • Microservices architecture

  • Online eCommerce and gaming platforms

Node.JS is not suitable for projects like:

  • Apps that require heavy computations

  • CRUD or HTML applications

  • Backend apps with relational databases

  • Multi-threaded programming projects

Python is suitable for projects like:

  • Progressive web applications (PWAs)

  • IoT projects

  • Data visualization & image processing

  • AI/ML and Neural Networks

  • Voice and facial recognition

  • Startups, Fintechs, Finance

  • Data Science and Engineering

Python is not suitable for projects like:

  • Mobile app development (Not supported by iOS and Android)

  • Game development (High memory consumption)

  • Projects that require interaction with complex legacy data

Node.JS vs Python: Conclusion

Choosing between Node.js and Python can be overwhelming, especially when developing a full-flagged product instead of a side project. However, both these languages have their own set of advantages and disadvantages.

And thus, the goal of the project and the developer’s competence are the two most essential factors that you should consider when deciding on a technology for the development process. 

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You’ll have access to a talent pool of the top 1% of 1M talented and experienced developers with strong technical and communication skills who can work according to your requirements. 

Additionally, Turing’s tried-and-tested vetting process evaluates developers to a Silicon Valley standard allowing you to have your pick of qualified software developers without sucking up all of your engineering team’s time.

Tell us the skills you need and we'll find the best developer for you in days, not weeks.

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By Nov 24, 2021
The Basics of Web Application Penetration Testing
For Employers

The Basics of Web Application Penetration Testing

Web application penetration testing can help organizations achieve the highest system security. Here’s everything you need to know about penetration testing.

Due to the increase in the complexity of cyberattacks, companies are investing more resources than ever to secure their systems from reputational and financial losses. One of the most used security testing techniques is web application penetration testing, Pen Test or Pen Testing. 

Web Application Penetration Testing

Web Application Penetration Testing: Market Research

Web application penetration testing involves simulating cyberattacks against application systems (APIs, front-end servers, back-end servers) to identify exploitable vulnerabilities and access sensitive data. It helps companies verify their systems’ security, identify any vulnerabilities and their scope of the damage, and develop strategies to mitigate potential threats. 

Types of web application penetration testing

There are two major types of penetration testing for web applications:

  • Internal pen testing

    This type of testing focuses on the web applications hosted on the intranet within the organization. The goal is to identify any potential vulnerabilities within the corporate firewall by using invalid credentials to access the system and determining the possible damage and route of attacks. Some of the most common internal attacks are: 
    1. Simulation of Phishing attacks 
    2. Malicious employee attacks 
    3. Attacks using user privileges 
    4. Social engineering attacks
  • External pen testing

    This type of penetration testing focuses on external attacks on the web applications hosted on the internet. The testers (aka ethical hackers) simulate external attacks using the IP address of the target system. External pen testing involves testing the applications’ firewalls, IDS, DNS, and front-end & back-end servers.
    In addition to these, there are a few more approaches to pentest, such as blind testing, double-blind, and targeted testing.
    Web application penetration testing

    Web Application Penetration Testing: Importance

Steps of Web Application Penetration Testing:

  • Planning and reconnaissance

    This step involves defining the goals and objectives of the test process, gathering information (servers, networks, domain names, etc.), and choosing the tools and techniques for testing. Based on the type of interaction required with the target system, there are two types of reconnaissance:
    • Active Reconnaissance

      In this process, the tester directly probes the target system to gather information. Some of the approaches for active reconnaissance are:
      • Shodan network scanner 
      • Fingerprinting the web application 
      • DNS zone transfer 
      • DNS forward and reverse lookup
    • Passive Reconnaissance

      The tester gathers the information available on the internet without having a direct interaction with the target system.
      Some of the popular tools used for web application penetration testing are listed below:
      • W3af
      • Veracode
      • Burp Suite
      • SQLMap
      • ZAP
      • Metasploit
      • Acunetix
      • Vega
      • Skipfish
      • Ratproxy
      • NetSparker
      • Watcher
  • Scanning and exploitation

    Once the testers have all the required information at their disposal, they can simulate cyberattacks on the web applications and discover the target’s vulnerabilities. The next step is to exploit those vulnerabilities by gaining access to privileged information, stealing data, modifying system configurations, intercepting traffic, and more to estimate the amount of damage they can cause to the target system. Some of the test scenarios for simulating cyberattacks are listed below:
    • Cross-Site Scripting
    • Security Misconfigurations
    • SQL Injection
    • Password Cracking
    • Caching Servers Attacks
    • Cross-Site Request Forgery
    • File Upload flaws
    • Broken authentication and session management
  • Analysis and reporting

    A detailed report is compiled to outline the significant findings of the test process. The report includes all the details such as sensitive data exposed, a list of exploited vulnerabilities, the time duration for which the tester could maintain undetected access to the system, etc. This information is shared with the security personnel to analyze and configure the company’s WAF settings, fix the most critical parts, and implement application security policies to patch vulnerabilities and protect against future threats. 


Web Application Penetration Testing

Web Application Penetration Testing: Conclusion

Web applications are the primary source of business for numerous companies. With thousands of transactions taking place every second, securing these applications from attacks and data theft becomes crucial. Web application penetration testing can help organizations achieve the highest system security and prepare for any potential threat. Security personnel can leverage the latest testing tools to examine the existing source code, servers, WAF, database connectivity, APIs, third-party integrations, etc., to discover vulnerabilities, mitigate risks, and update security policies.

Excellent security measures are intrinsic to a great web application, but so are superior software developers. So if you’re looking to scale your software development team, try Turing. 

Turing’s automated platform lets companies “push a button” to hire senior, pre-vetted remote software developers. Access a talent pool of the top 1% of 1M+ developers with strong technical and communication skills who work in your time zone. There’s no risk. Turing offers a free two-week trial period to make sure your developers deliver to your standards.

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Tell us the skills you need and we'll find the best developer for you in days, not weeks.

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By Oct 14, 2021