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Python VS vert.x

Compare Python VS vert.x and see what are their differences

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Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

vert.x logo vert.x

From Wikipedia, the free encyclopedia
  • Python Landing page
    Landing page //
    2021-10-17

  • vert.x Landing page
    Landing page //
    2022-06-12

Python features and specs

  • Easy to Learn
    Python syntax is clear and readable, which makes it an excellent choice for beginners and allows for quick learning and prototyping.
  • Versatile
    Python can be used for web development, data analytics, artificial intelligence, machine learning, automation, and more, making it a highly versatile programming language.
  • Large Standard Library
    Python comes with a comprehensive standard library that includes modules and packages for various tasks, reducing the need to write code from scratch.
  • Strong Community Support
    Python has a large and active community, which means a wealth of third-party packages, tutorials, and documentation is available for assistance.
  • Cross-Platform Compatibility
    Python is compatible with major operating systems like Windows, macOS, and Linux, allowing for easy development and deployment across different platforms.
  • Good for Rapid Development
    The high-level nature of Python allows for quick development cycles and fast iteration, which is ideal for startups and prototyping.

Possible disadvantages of Python

  • Performance Limitations
    Python is generally slower than compiled languages like C or Java because it is an interpreted language, which can be a drawback for performance-critical applications.
  • Global Interpreter Lock (GIL)
    The GIL in CPython, the most used Python interpreter, prevents multiple native threads from executing Python bytecodes at once, limiting multi-threading capabilities.
  • Memory Consumption
    Python can be more memory-intensive compared to some other languages, which might be a concern for applications with tight memory constraints.
  • Mobile Development
    Python is not a primary choice for mobile app development, where languages like Java, Swift, or Kotlin are more commonly used.
  • Runtime Errors
    Being a dynamically typed language, Python code can sometimes lead to runtime errors that would be caught at compile-time in statically typed languages.
  • Dependency Management
    Managing dependencies in Python projects can sometimes be complex and cumbersome, especially when dealing with conflicting versions of libraries.

vert.x features and specs

  • Performance
    Vert.x is designed to be highly performant, leveraging a non-blocking, event-driven architecture which makes it suitable for handling many concurrent requests efficiently.
  • Polyglot
    Vert.x supports multiple programming languages, including Java, Kotlin, JavaScript, Groovy, Ruby, and more. This allows developers to use the language they are most comfortable with.
  • Modular
    Vert.x is modular and lightweight, enabling developers to use only the parts they need and easily integrate with other libraries and tools.
  • Reactive Ecosystem
    Vert.x provides a robust ecosystem for building reactive applications, including asynchronous APIs, event bus, and reactive streams.
  • Scalability
    The architecture of Vert.x allows for easy scaling both vertically and horizontally, as it can efficiently manage resources and load balancing.

Possible disadvantages of vert.x

  • Learning Curve
    The event-driven and asynchronous nature of Vert.x can be challenging for developers who are accustomed to traditional synchronous programming paradigms.
  • Community and Resources
    While growing, the Vert.x community is smaller compared to more established frameworks, which may result in fewer resources, tutorials, and third-party integrations.
  • Complexity
    As applications grow in size, managing asynchronous code and callback structures can become complex, requiring careful planning and architecture decisions.
  • Tooling
    Tooling support, while improving, may not be as comprehensive as other established frameworks, which might impact development speed and debugging.

Python videos

Creator of Python Programming Language, Guido van Rossum | Oxford Union

vert.x videos

From Zero to Back End in 45 Minutes with Eclipse Vert.x

Category Popularity

0-100% (relative to Python and vert.x)
Programming Language
100 100%
0% 0
Web Frameworks
0 0%
100% 100
OOP
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Python and vert.x

Python Reviews

Pine Script Alternatives: A Comprehensive Guide to Trading Indicator Languages
Technical analysis in trading has come a long way, with various programming languages emerging to support traders in developing custom indicators. While Pine Script has been a popular choice for many, alternatives like Indie, ThinkScript, NinjaScript, MetaQuotes Language (MQL), and even general-purpose languages like Python and C++ are gaining traction. Let’s explore these...
Source: medium.com
Top 5 Most Liked and Hated Programming Languages of 2022
No wonder Python is one of the easiest programming languages to work upon. This general-purpose programming language finds immense usage in the field of web development, machine learning applications, as well as cutting-edge technology in the software industry. The fact that Python is used by major tech giants such as Amazon, Facebook, Google, etc. is good enough proof as to...
Top 10 Rust Alternatives
This programming langue is typed statically and operates on a complied system. It works based on several computing languages Python, Ada, and Modula.
15 data science tools to consider using in 2021
Python is the most widely used programming language for data science and machine learning and one of the most popular languages overall. The Python open source project's website describes it as "an interpreted, object-oriented, high-level programming language with dynamic semantics," as well as built-in data structures and dynamic typing and binding capabilities. The site...
The 10 Best Programming Languages to Learn Today
Python's variety of applications make it a powerful and versatile language for different use cases. Python-based web development frameworks like Django and Flask are gaining popularity fast. It's also equipped with quality machine learning and data analysis tools like Scikit-learn and Pandas.
Source: ict.gov.ge

vert.x Reviews

17 Popular Java Frameworks for 2023: Pros, cons, and more
As Vert.x is an event-driven and non-blocking framework, it can handle a lot of concurrencies using only a minimal number of threads. Vert.x is also quite lightweight, with the core framework weighing only about 650 KB. It has a modular architecture that allows you to use only the modules you need so that your app can stay as slick as possible. Vert.x is an ideal choice if...
Source: raygun.com

Social recommendations and mentions

Based on our record, Python should be more popular than vert.x. It has been mentiond 288 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Python mentions (288)

  • A Beginner's Guide to Auto-Instrumenting a Flask App with OpenTelemetry and SigNoz
    If Python is not installed, download it from python.org or use your system's package manager (e.g., sudo apt install python3 on Ubuntu). - Source: dev.to / 27 days ago
  • Scraping Infinite Scroll Pages with a 'Load More' Button: A Step-by-Step Guide
    Python Installed: Download and install the latest Python version from python.org, including pip during setup. - Source: dev.to / 4 months ago
  • Get Started with Python
    First, you'll need to install Python if you don't have it already. Go to the official Python website python.org, download the latest version, and follow the instructions. - Source: dev.to / 5 months ago
  • Unlocking DuckDB from Anywhere - A Guide to Remote Access with Apache Arrow and Flight RPC (gRPC)
    Python: We’ll use Python for it’s simplicity and accessibility. - Source: dev.to / 5 months ago
  • Python Packaging is Great Now: `uv` is all you need
    Bootstrapping was an often neglected problem. Should we tell people to install Python from https://python.org? The Anaconda distribution? How do we stop folks from using their system package manager and risk breaking everything? - Source: dev.to / 9 months ago
View more

vert.x mentions (29)

  • Java News: WildFly 36, Spring Milestones, and Open Liberty Updates
    The sixth release candidate of Eclipse Vert.x 5.0.0 provides support for the Java Platform Module System and a new VerticleBase class. Further details are available in the release notes. - Source: dev.to / 20 days ago
  • Rust, C++, and Python trends in jobs on Hacker News (February 2025)
    I see your point, but I still don't think you can just say "If you want to get get a job as a Go developer, you must know gRPC." Even more so for Kafka, I've only heard about it being popular in the Java world. You can't even say "If you want to get a job as a Java developer, you must know Spring." Nowadays, sane Java projects use https://vertx.io, it's just too good. I would argue that Spring is for legacy... - Source: Hacker News / 2 months ago
  • Error handlers and failure handlers in Vert.x
    Vert.x is a toolkit for developing reactive applications on the JVM. I wrote a short introductory post about it earlier, when I used it for a commercial project. I had to revisit a Vert.x-based hobby project a few weeks ago, and I learned that there were some gaps in my knowledge about how Vert.x handles failures and errors. To fill those gaps, I did some experiments, wrote a few tests, and then wrote this blog post. - Source: dev.to / 5 months ago
  • Spark – A web micro framework for Java and Kotlin
    Https://vertx.io/ It's actively maintained with full time developers, performant, supports Kotlin out of the box, and has more features? - Source: Hacker News / about 1 year ago
  • Reactive database access on the JVM
    Hibernate Reactive integrates with Vert.x, but an extension allows to bridge to Project Reactor if wanted. - Source: dev.to / almost 2 years ago
View more

What are some alternatives?

When comparing Python and vert.x, you can also consider the following products

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

Javalin - Simple REST APIs for Java and Kotlin

Rust - A safe, concurrent, practical language

Micronaut Framework - Build modular easily testable microservice & serverless apps

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

helidon - Helidon Project, Java libraries crafted for Microservices