Open-source alternatives to Plot

tools for working with streams of data

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

Gonum is a numerical computing library for the Go programming language, providing a collection of packages for scientific computing, linear algebra, statistics, and optimization. It functions as a framework for performing complex numerical computations and solving systems of linear equations. The project includes a dedicated graph analysis framework for modeling network graphs and solving connectivity and pathfinding problems. It also provides a statistical analysis toolkit for computing descriptive and inferential statistics and estimating mixture entropy. The library's capability surface c

Types and utilities for working with 2d geometry in Golang

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

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

This repository serves as an educational collection of interactive notebooks and code examples designed to demonstrate fundamental machine learning and deep learning concepts. It provides a structured environment for exploring data science workflows, ranging from basic numerical computing and statistical analysis to the construction of complex neural network architectures. The project distinguishes itself through a focus on hands-on experimentation, offering practical implementations for tasks such as computer vision, natural language processing, and statistical simulation. Users can engage w

A scientific charting library focused on performance optimised real-time data visualisation at 25 Hz update rates for data sets with a few 10 thousand up to 5 million data points.

Hiccup-style generation of Graphviz graphs in Clojure

go-diagrams is a Go visualization library and DOT language generator used to create system architecture diagrams. It implements a diagrams-as-code approach, allowing users to define system components, infrastructure dependencies, and data flows using Go source code. The library translates these code-based definitions into Graphviz DOT syntax, which is then processed by the Graphviz toolset to render final visual image assets. It supports mapping directional edges to illustrate dependencies and organizing related components into named clusters or subgraphs to represent architectural boundaries