jsonl-graph
graph
jsonl-graph | graph | |
---|---|---|
2 | 1 | |
69 | 686 | |
- | 1.3% | |
0.0 | 0.0 | |
over 1 year ago | 12 months ago | |
Go | Go | |
MIT License | BSD 2-clause "Simplified" License |
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jsonl-graph
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Show HN: A Graphviz Implementation in Rust
Yeah, more-and-more I am inclining building ML project for graph visualization.
I have worked on graph visualisation for some time, did https://github.com/nikolaydubina/jsonl-graph and https://github.com/nikolaydubina/go-graph-layout
Been studying research papers on graph visualization.
It looks like we need some Deep Learning / ML based approach to this.
There is just so much meaning is encoded into XY coordinates and edges. Basic algorithms like Sugiyama produce meaningful visualizations only for simple and basic graphs.
When number of edges goes to the roof or nodes.. basic algorithms break down. Graphs become meaningless.
You have to make graphs by hand to make sense of it.
- CLI tool to make graphs of K8S resources
graph
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graph: A generic Go library for creating graph data structures and performing operations on them. It supports different kinds of graphs such as directed graphs, acyclic graphs, or trees.
There's also https://github.com/yourbasic/graph
What are some alternatives?
sparse - Sparse matrix formats for linear algebra supporting scientific and machine learning applications
goraph - Package goraph implements graph data structure and algorithms.
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
chart - Provide basic charts in go
gonum/plot - A repository for plotting and visualizing data
streamtools - tools for working with streams of data
geom - 2d geometry for golang
gofrac - A fractions library for go (http://golang.org)
go-estimate - State estimation and filtering algorithms in Go
go-gt - Automatically exported from code.google.com/p/go-gt
go.matrix - linear algebra for go
go-fn - Automatically exported from code.google.com/p/go-fn