go.matrix VS GoStats

Compare go.matrix vs GoStats and see what are their differences.

GoStats

GoStats is a go library for math statistics mostly used in ML domains, it covers most of the statistical measures functions. (by OGFris)
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go.matrix GoStats
- -
336 20
- -
0.0 0.0
over 5 years ago over 5 years ago
Go Go
GNU General Public License v3.0 or later 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.matrix

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

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

GoStats

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

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

What are some alternatives?

When comparing go.matrix and GoStats you can also consider the following projects:

gonum/mat64

evaler - Implements a simple floating point arithmetic expression evaluator in Go (golang).

TextRank - :wink: :cyclone: :strawberry: TextRank implementation in Golang with extendable features (summarization, phrase extraction) and multithreading (goroutine).

blas - Go implementation of BLAS (Basic Linear Algebra Subprograms)

go-dsp - Digital Signal Processing for Go

Stats - A well tested and comprehensive Golang statistics library package with no dependencies.

gonum/plot - A repository for plotting and visualizing data

chart - Provide basic charts in go

sparse - Sparse matrix formats for linear algebra supporting scientific and machine learning applications

pagerank - Weighted PageRank implementation in Go

go-estimate - State estimation and filtering algorithms in Go