gosseract VS go-fann

Compare gosseract vs go-fann and see what are their differences.

gosseract

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

go-fann

Go bindings for FANN, library for artificial neural networks (by vksnk)
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gosseract go-fann
1 0
2,453 115
- -
6.7 0.0
14 days ago about 9 years ago
Go 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.

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.

go-fann

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

We haven't tracked posts mentioning go-fann yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing gosseract and go-fann you can also consider the following projects:

GoLearn - Machine Learning for Go

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

golinear - liblinear bindings for Go

go-galib - Genetic Algorithms library written in Go / golang

sklearn - bits of sklearn ported to Go #golang

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

bayesian - Naive Bayesian Classification for Golang.

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

go-deep - Artificial Neural Network

gorse - Gorse open source recommender system engine

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