ode VS Stats

Compare ode vs Stats and see what are their differences.

ode

An ordinary differential equation solving library in golang. (by ChristopherRabotin)

Stats

A well tested and comprehensive Golang statistics library package with no dependencies. (by montanaflynn)
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ode Stats
- -
22 2,881
- -
0.0 2.0
about 7 years ago 11 months 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.

ode

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

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

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 ode and Stats you can also consider the following projects:

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

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

pagerank - Weighted PageRank implementation in Go

gonum/plot - A repository for plotting and visualizing data

chart - Provide basic charts in go

gonum/mat64

gohistogram - Streaming approximate histograms in Go

go.matrix - linear algebra for go

goraph - Package goraph implements graph data structure and algorithms.

go-fn - Automatically exported from code.google.com/p/go-fn

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