Iron python VS Hybridizer

Compare Iron python vs Hybridizer and see what are their differences.

Iron python

Implementation of the Python programming language for .NET Framework; built on top of the Dynamic Language Runtime (DLR). (by IronLanguages)
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Iron python Hybridizer
34 1
1,064 232
0.2% 0.9%
3.7 3.8
4 months ago 8 months ago
Python C#
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Iron python

Posts with mentions or reviews of Iron python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-09.

Hybridizer

Posts with mentions or reviews of Hybridizer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-25.

What are some alternatives?

When comparing Iron python and Hybridizer you can also consider the following projects:

PythonNet - Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.

ILGPU - ILGPU JIT Compiler for high-performance .Net GPU programs

PeachPie - PeachPie - the PHP compiler and runtime for .NET and .NET Core

P - The P programming language.

Testura.Code - Testura.Code is a wrapper around the Roslyn API and used for generation, saving and compiling C# code. It provides methods and helpers to generate classes, methods, statements and expressions.

Mond - A scripting language for .NET Core

Amplifier.NET - Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.