m2cgen VS fonet

Compare m2cgen vs fonet and see what are their differences.


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)


fonet is a deep neural network package for Go. (by Fontinalis)
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m2cgen fonet
6 0
2,355 71
1.8% -
6.5 0.0
10 days ago over 1 year ago
Python Go
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 m2cgen. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-22.


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

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

What are some alternatives?

When comparing m2cgen and fonet 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#.

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

gorse - An open source recommender system service written in Go

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

R Provider - Access R packages from F#

sklearn - bits of sklearn ported to Go #golang

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

goRecommend - Collaborative Filtering (CF) Algorithms in Go!

go-featureprocessing - 🔥 Fast, simple sklearn-like feature processing for Go

randomforest - Random Forest implementation in golang

golinear - liblinear bindings for Go

ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.