gosseract VS gorse

Compare gosseract vs gorse and see what are their differences.

gosseract

Go package for OCR (Optical Character Recognition), by using Tesseract C++ library (by otiai10)

gorse

An open source recommender system service written in Go (by gorse-io)
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gosseract gorse
1 5
1,785 5,838
- 6.4%
3.9 9.2
about 2 months ago 6 days ago
Go 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.

gosseract

Posts with mentions or reviews of gosseract. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-20.

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 2022-03-13.

What are some alternatives?

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

GoLearn - Machine Learning for Go

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

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

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

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

golinear - liblinear bindings for Go

bayesian - Naive Bayesian Classification for Golang.

sklearn - bits of sklearn ported to Go #golang

go-pr - Pattern recognition package in Go lang.

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