untangle-rs
Library that minimises edge crossings in weighted multipartite graphs, with support for respecting node hierarchy. It uses a simple metropolis-hastings algorithm that iteratitely swaps neighboring nodes in order to minimize the number of crossings. It is unlikely to find a global minimum but does converge to optimal solutions.
Basic example
Basic layouts
You can minimize the crossings in arbitrary multipartite graphs, as long as you provide the parts of the graph:
from untanglers import LayoutOptimizerInt
nodes = [
[0,1,2],
[3,4,5],
[6,7,8],
]
edges = [
# node_a, node_b, edge_weight
[(0, 4, 1), (1, 3, 5)],
[(4, 8, 2), (5, 6, 1)]
]
optimizer = LayoutOptimizerInt(nodes, edges)
edge_crossings = optimizer.count_crossings()
new_crossings = optimizer.optimize(
start_temp = 1.0,
end_temp = 0.1,
steps = 3,
max_iterations = 20,
passes = 5,
)
More complicated graph
Hierarchical layouts
In case certain nodes need to remain grouped together, the optimizer also supports hierarchy. This is useful for visualizing e.g. data lineage where columns in a table should remain together.
from untanglers import HierarchyOptimizerInt
nodes = ...
edges = ...
hierarchy = [
# 2 levels, note that the coarser level is aligned with the finer level
[[4,5,6,5], [9, 11]],
[[7, 20, 13], [27, 13]],
[[8, 9, 6, 7], [17, 13]],
]
optimizer = HierarchyOptimizerInt(nodes, edges, hierarchy)
new_crossings = optimizer.optimize(...)
Graph with 2 levels of node hierarchy
Metadata
Release files for untangle-rs 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| untangle_rs-0.2.2.tar.gz | 20.2 kB | Without provenance | Details |
Built distributions (wheels)
Total release size: 6.0 MB
Release files / untangle_rs-0.2.2.tar.gz
| Download URL | untangle_rs-0.2.2.tar.gz |
|---|---|
| Size | 20.2 kB |
| Tags | Source |
|
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Release files / untangle_rs-0.2.2-cp39-abi3-win_amd64.whl
| Download URL | untangle_rs-0.2.2-cp39-abi3-win_amd64.whl |
|---|---|
| Size | 245.7 kB |
| Tags | CPython 3.9 Windows x86-64 abi3 |
|
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Release files / untangle_rs-0.2.2-cp39-abi3-win32.whl
| Download URL | untangle_rs-0.2.2-cp39-abi3-win32.whl |
|---|---|
| Size | 229.1 kB |
| Tags | CPython 3.9 Windows x86-32 abi3 |
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Release files / untangle_rs-0.2.2-cp39-abi3-musllinux_1_2_x86_64.whl
| Download URL | untangle_rs-0.2.2-cp39-abi3-musllinux_1_2_x86_64.whl |
|---|---|
| Size | 556.3 kB |
| Tags | CPython 3.9 Linux musl 1.2+ x86-64 abi3 |
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| Download URL | untangle_rs-0.2.2-cp39-abi3-musllinux_1_2_i686.whl |
|---|---|
| Size | 586.6 kB |
| Tags | CPython 3.9 Linux musl 1.2+ x86-32 abi3 |
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Release files / untangle_rs-0.2.2-cp39-abi3-musllinux_1_2_armv7l.whl
| Download URL | untangle_rs-0.2.2-cp39-abi3-musllinux_1_2_armv7l.whl |
|---|---|
| Size | 646.5 kB |
| Tags | CPython 3.9 Linux musl 1.2+ ARMv7l abi3 |
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| Download URL | untangle_rs-0.2.2-cp39-abi3-musllinux_1_2_aarch64.whl |
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| Size | 556.4 kB |
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| Size | 391.1 kB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 abi3 |
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| Size | 421.3 kB |
| Tags | CPython 3.9 Linux glibc 2.17+ IBM System/390x abi3 |
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| Size | 504.6 kB |
| Tags | CPython 3.9 Linux glibc 2.17+ PowerPC 64-le abi3 |
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| Download URL | untangle_rs-0.2.2-cp39-abi3-manylinux_2_17_i686.manylinux2014_i686.whl |
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| Size | 416.9 kB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-32 abi3 |
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| Size | 382.5 kB |
| Tags | CPython 3.9 Linux glibc 2.17+ ARMv7l abi3 |
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| Download URL | untangle_rs-0.2.2-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|---|---|
| Size | 376.0 kB |
| Tags | CPython 3.9 Linux glibc 2.17+ ARM64 abi3 |
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| Download URL | untangle_rs-0.2.2-cp39-abi3-macosx_11_0_arm64.whl |
|---|---|
| Size | 339.8 kB |
| Tags | CPython 3.9 abi3 macOS 11.0+ ARM64 |
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| Download URL | untangle_rs-0.2.2-cp39-abi3-macosx_10_12_x86_64.whl |
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| Size | 350.9 kB |
| Tags | CPython 3.9 abi3 macOS 10.12+ x86-64 |
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Security for untangle-rs 0.2.2
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