m2cgen VS gorse

Compare m2cgen vs gorse and see what are their differences.

m2cgen

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies (by BayesWitnesses)
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m2cgen gorse
8 8
2,706 8,021
0.6% 1.2%
0.0 7.1
6 months ago 6 days ago
Python Go
MIT License Apache License 2.0
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.

m2cgen

Posts with mentions or reviews of m2cgen. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-02.

gorse

Posts with mentions or reviews of gorse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-22.

What are some alternatives?

When comparing m2cgen and gorse you can also consider the following projects:

TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.

Synapses - A group of neural-network libraries for functional and mainstream languages

sklearn - bits of sklearn ported to Go #golang

R Provider - Access R packages from F#

gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library

randomforest - Random Forest implementation in golang

GoLearn - Machine Learning for Go

gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

go-cluster - k-modes and k-prototypes clustering algorithms implementation in Go

go-fann - Go bindings for FANN, library for artificial neural networks

libsvm - libsvm go version