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Cython VS NuGetPackageExplorer

Compare Cython VS NuGetPackageExplorer and see what are their differences

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Cython logo Cython

Cython is a language that makes writing C extensions for the Python language as easy as Python...

NuGetPackageExplorer logo NuGetPackageExplorer

Create, update and deploy Nuget Packages with a GUI
  • Cython Landing page
    Landing page //
    2023-10-15
  • NuGetPackageExplorer Landing page
    Landing page //
    2023-10-09

Cython features and specs

  • Performance Improvement
    Cython can significantly increase the execution speed of Python code by translating it into C, and allowing for static typing. This can lead to performance gains for computationally intensive tasks.
  • Compatibility with Python
    Cython is designed to be fully compatible with Python, meaning that most Python code can be compiled with Cython without any modifications.
  • Integration with C/C++
    Cython facilitates easy integration with C and C++ code, enabling the use of native libraries and expanding the modularity and capability of Python programs.
  • Ease of Use
    With syntax similar to Python, Cython is relatively easy for Python developers to learn, especially compared to learning C or C++ for performance improvements.
  • Automatic C Extension Modules
    Cython can automatically generate C extension modules, which can be imported and used in Python as regular modules, simplifying the process of creating performant extensions.

Possible disadvantages of Cython

  • Complexity in Debugging
    Debugging in Cython can be more challenging than in pure Python due to the transition from Python to C, requiring tools and knowledge of both languages for effective debugging.
  • Portability Issues
    Code generated by Cython may not be as portable as pure Python code, especially across different operating systems and architectures, due to dependencies on C compilers.
  • Build Process Overhead
    Using Cython introduces additional build process requirements, including the need for a C compiler, which can increase the complexity of the deployment process.
  • Learning Curve
    Although similar to Python, mastering Cython involves understanding C concepts and how Cython compiles Python code into C, which can entail a learning curve.
  • Limited Benefits for I/O Bound Applications
    Cython excels in CPU-bound tasks but may offer limited performance benefits for I/O-bound applications, where the bottleneck is not compute speed but data input/output rates.

NuGetPackageExplorer features and specs

No features have been listed yet.

Cython videos

+ Add

Stefan Behnel - Get up to speed with Cython 3.0

More videos:

  • Review - Cython: A First Look
  • Review - Simmi Mourya - Scientific computing using Cython: Best of both Worlds!

NuGetPackageExplorer videos

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Category Popularity

0-100% (relative to Cython and NuGetPackageExplorer)

Cython

NuGetPackageExplorer

Website Builder
85 85%
Website Builder
15% 15
Website Design
84 84%
Website Design
16% 16
CMS
81 81%
CMS
19% 19
Programming Language
82 82%
Programming Language
18% 18

User comments

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Social recommendations and mentions

Based on our record, Cython seems to be more popular. It has been mentiond 48 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.

Cython mentions (48)

  • I Use Nim Instead of Python for Data Processing
    >Not type safe That's the point. Look up what duck typing means in Python. Your program is meant to throw exceptions if you pass in data that doesn't look and act how it needs to. This means that in Python you don't need to do defensive programming. It's not like in C where you spend many hundreds of lines safe-guarding buffer lengths, memory allocation, return codes, static type sizes, and so on. That means that... - Source: Hacker News / 8 months ago
  • Ask HN: C/C++ developer wanting to learn efficient Python
    Https://cython.org can help with that. - Source: Hacker News / about 1 year ago
  • How to make a c++ python extension?
    The approach that I favour is to use Cython. The nice thing with this approach is that your code is still written as (almost) Python, but so long as you define all required types correctly it will automatically create the C extension for you. Early versions of Cython required using Cython specific typing (Python didn't have type hints when Cython was created), but it can now use Python's type hints. Source: almost 2 years ago
  • Codon: Python Compiler
    Just for reference, * Nuitka[0] "is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11." * Pypy[1] "is a replacement for CPython" with builtin optimizations such as on the fly JIT compiles. * Cython[2] "is an optimising static compiler for both the Python programming language and the extended Cython programming language... Makes writing C... - Source: Hacker News / almost 2 years ago
  • Any faster Python alternatives?
    Profile and optimize the hotspots with cython (or whatever the cool kids are using these days... It's been a while.). Source: about 2 years ago
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NuGetPackageExplorer mentions (0)

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

What are some alternatives?

When comparing Cython and NuGetPackageExplorer, you can also consider the following products

Numba - Numba gives you the power to speed up your applications with high performance functions written...

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

Inno Setup - Inno Setup is a free installer for Windows programs.

nuitka - Nuitka is a Python compiler.

Makeself - makeself.sh is a small shell script that generates a self-extractable tar.

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

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