Stats VS matrix

Compare Stats vs matrix and see what are their differences.

Stats

A well tested and comprehensive Golang statistics library package with no dependencies. (by montanaflynn)
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Stats matrix
0 33
2,871 3,199
- -
2.0 3.3
10 months ago 3 months ago
Go JavaScript
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.

Stats

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

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

matrix

Posts with mentions or reviews of matrix. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-20.

What are some alternatives?

When comparing Stats and matrix you can also consider the following projects:

gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more

gonum/plot - A repository for plotting and visualizing data

ode - An ordinary differential equation solving library in golang.

gonum/mat64

go.matrix - linear algebra for go

chart - Provide basic charts in go

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

dataframe-go - DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

permutation - Simple permutation package for golang

pagerank - Weighted PageRank implementation in Go

streamtools - tools for working with streams of data

graph - Graph algorithms and data structures