godesim VS go-estimate

Compare godesim vs go-estimate and see what are their differences.

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godesim go-estimate
1 1
23 109
- -
0.0 3.2
almost 2 years ago 6 months ago
Go Go
BSD 3-clause "New" or "Revised" License Apache License 2.0
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.

godesim

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

go-estimate

Posts with mentions or reviews of go-estimate. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-07.

What are some alternatives?

When comparing godesim and go-estimate you can also consider the following projects:

ewma - Exponentially Weighted Moving Average algorithms for Go.

gonum/plot - A repository for plotting and visualizing data

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

go-dsp - Digital Signal Processing for Go

graph - Graph algorithms and data structures

goraph - Package goraph implements graph data structure and algorithms.

gohistogram - Streaming approximate histograms in Go

GoStats - GoStats is a go library for math statistics mostly used in ML domains, it covers most of the statistical measures functions.

gostat - Collection of statistical routines in golang

PiHex - PiHex Library, written in Go, generates a hexadecimal number sequence in the number Pi in the range from 0 to 10,000,000.

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.