gonum/plot VS Stats

Compare gonum/plot vs Stats and see what are their differences.

gonum/plot

A repository for plotting and visualizing data (by gonum)

Stats

A well tested and comprehensive Golang statistics library package with no dependencies. (by montanaflynn)
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gonum/plot Stats
8 -
2,639 2,885
0.9% -
4.3 2.0
4 days ago 11 months ago
Go Go
BSD 3-clause "New" or "Revised" 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.

gonum/plot

Posts with mentions or reviews of gonum/plot. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-16.

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.

What are some alternatives?

When comparing gonum/plot and Stats you can also consider the following projects:

chart - Provide basic charts in go

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

gosl - Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.

ode - An ordinary differential equation solving library in golang.

gonum/mat64

gostat - Collection of statistical routines in golang

go.matrix - linear algebra for go

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

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