go-featureprocessing vs sklearn

go-featureprocessing

🔥 Fast, simple sklearn-like feature processing for Go (by nikolaydubina)

Machine Learning Go feature-engineering

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sklearn

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

Machine Learning

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go-featureprocessing		sklearn
	Project
6	Mentions	-
113	Stars	343
-	Growth	-
5.2	Activity	0.0
about 1 month ago	Latest Commit	almost 4 years ago
Go	Language	Go
MIT License	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.

go-featureprocessing

Posts with mentions or reviews of go-featureprocessing. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-05.

Machine learning with GOlang
6 projects | /r/golang | 5 Apr 2021

Tabular data is well supported in Go. Tabular data and small sample sizes is a sweet spot for Go. You may squeze in some meaningful performance and good looking code and integrations. Some entry points: (1) https://github.com/nikolaydubina/go-ml-benchmarks (2) https://github.com/dmitryikh/leaves (3) https://github.com/nikolaydubina/go-featureprocessing
Show HN: Go-Featureprocessing v1.0.0
2 projects | news.ycombinator.com | 15 Jan 2021

What is this?
Fast feature preprocessing in Go with feature parity to sklearn
https://github.com/nikolaydubina/go-featureprocessing
What is new?
* Added batch processing
Feature Processing in Go
3 projects | news.ycombinator.com | 21 Dec 2020
[P] fast and convenient feature processing in Go! I am sure many backend teams are running Go services, if so this should help integration better!
1 project | /r/MachineLearning | 21 Dec 2020
Fast and convenient library for feature processing in pure Go! I am focusing on single sample processing time, benchmarks and ease of use. Try it out!
1 project | /r/golang | 21 Dec 2020

sklearn

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.

What are some alternatives?

When comparing go-featureprocessing and sklearn you can also consider the following projects:

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

GoLearn - Machine Learning for Go

bayesian - Naive Bayesian Classification for Golang.

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

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

libsvm - libsvm go version

ocrserver - A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well

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)

gorse - Gorse open source recommender system engine

goml - On-line Machine Learning in Go (and so much more)

randomforest - Random Forest implementation in golang