Software Alternatives, Accelerators & Startups

cx_Freeze VS Python

Compare cx_Freeze VS Python and see what are their differences

cx_Freeze logo cx_Freeze

cx_Freeze is a set of scripts and modules for freezing Python scripts into executables in much the...

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
  • cx_Freeze Landing page
    Landing page //
    2021-09-12
  • Python Landing page
    Landing page //
    2021-10-17

cx_Freeze features and specs

  • Cross-Platform Compatibility
    cx_Freeze can generate executables for different operating systems like Windows, macOS, and Linux, making it versatile for multi-platform application development.
  • Support for Python 3
    It supports Python 3, which is essential for modern Python applications as Python 2 has reached the end of its life.
  • Minimal Configuration
    Requires minimal setup, making it user-friendly for developers who may not want to deal with complex configurations.
  • Flexibility
    Allows custom scripts and hooks, providing flexibility in how the application is packaged and behaves.
  • Open Source
    Being an open-source project, it encourages contributions from a community of developers and is available for free.

Possible disadvantages of cx_Freeze

  • Limited Documentation
    The documentation for cx_Freeze is not as comprehensive as some other similar tools, which can make it harder for new users to get started or troubleshoot issues.
  • Dependency Management
    Manages dependencies less elegantly compared to some other tools, potentially leading to larger executable sizes or missing modules.
  • GUI Application Complexity
    Creating executables for GUI applications can be more complex, sometimes requiring additional configuration and manual adjustments.
  • Slower Updates
    Updates and new features may be released at a slower pace compared to some other widely-used tools, potentially impacting users needing the latest advancements.
  • Initial Learning Curve
    Despite being user-friendly, there is still a learning curve for those unfamiliar with packaging Python applications, particularly in understanding how to resolve dependency issues.

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.

cx_Freeze videos

cx_freeze python 3.6

Python videos

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

Category Popularity

0-100% (relative to cx_Freeze and Python)
Website Builder
100 100%
0% 0
Programming Language
0 0%
100% 100
Website Design
100 100%
0% 0
OOP
0 0%
100% 100

User comments

Share your experience with using cx_Freeze and Python. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

cx_Freeze Reviews

We have no reviews of cx_Freeze yet.
Be the first one to post

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

Social recommendations and mentions

Based on our record, Python seems to be more popular. 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.

cx_Freeze mentions (0)

We have not tracked any mentions of cx_Freeze yet. Tracking of cx_Freeze recommendations started around Mar 2021.

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 / about 1 month 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

What are some alternatives?

When comparing cx_Freeze and Python, you can also consider the following products

PyInstaller - PyInstaller is a program that freezes (packages) Python programs into stand-alone executables...

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

bbfreeze - create stand-alone executables from python scripts

Rust - A safe, concurrent, practical language

nuitka - Nuitka is a Python compiler.

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