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Programming language: Go
Latest version: v2.0
goraph alternatives and similar packages
Based on the "Science and Data Analysis" category

gonum
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more. 
gosl
Go scientific library for linear algebra, FFT, geometry, NURBS, numerical methods, probabilities, optimisation, differential equations, and more. 
gonum/mat64
The general purpose package for matrix computation. Package mat64 provides basic linear algebra operations for float64 matrices. 
TextRank
TextRank implementation in Golang with extendable features (summarization, weighting, phrase extraction) and multithreading (goroutine) support. 
sparse
Go Sparse matrix formats for linear algebra supporting scientific and machine learning applications, compatible with gonum matrix libraries. 
vectormath
Vectormath for Go, an adaptation of the scalar C functions from Sony's Vector Math library, as found in the Bullet2.79 source code. (currently inactive) 
ode
An ordinary differential equation (ODE) solver which supports extended states and channelbased iteration stop conditions. 
triangolatte
2D triangulation library. Allows translating lines and polygons (both based on points) to the language of GPUs. 
GoStats
GoStats is an Open Source GoLang library for math statistics mostly used in Machine Learning domains, it covers most of the Statistical measures functions. 
mudlarkgo
A collection of packages providing (hopefully) useful code for use in software using Google's Go programming language.
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goraph
Package goraph implements graph data structure and algorithms.
go get v gopkg.in/gyuho/goraph.v2;
I have tutorials and visualizations of graph, tree algorithms:
 Binary search tree
 Go: heap, priority queue
 Go: red black tree
 Go: btree
 Go: graph, interface
 Go: graph, traversal
 Go: graph, shortest path
 Go: graph, topological sort
 Go: graph, minimum spanning tree
 Go: graph, strongly connected components
For fast query and retrieval, please check out Cayley.
 Please visit my YouTube Channel
Tree
,Graph
Theory Algorithms (Playlist)Graph
: BFS, DFS