sklearn VS m2cgen

Compare sklearn vs m2cgen and see what are their differences.


bits of sklearn ported to Go #golang (by pa-m)


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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sklearn m2cgen
0 8
329 2,658
- 0.9%
0.0 0.0
over 3 years ago about 1 month ago
Go Python
MIT License 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.


Posts with mentions or reviews of sklearn. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning sklearn yet.
Tracking mentions began in Dec 2020.


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.

What are some alternatives?

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

GoLearn - Machine Learning for Go

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

libsvm - libsvm go version

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

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

gorse - Gorse open source recommender system engine

R Provider - Access R packages from F#

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

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

randomforest - Random Forest implementation in golang