0.68.0 • Published 9 months ago

@plait/layouts v0.68.0

Weekly downloads
-
License
MIT
Repository
github
Last release
9 months ago

@plait/layouts

It is used to implement the mind map automatic layout algorithm. Based on an independent algorithm, the mind map node layout logic can be decoupled from other functions. The automatic layout algorithm only focuses on the location distribution of nodes.

Layout Classification

  1. Logical layout
  2. Standard layout
  3. Indent layout
  4. Layout nesting

Timeline and fishbone are not supported yet

Algorithm Implementation

The layout algorithm in this library mainly refers to the implementation ideas in the paper Drawing Non-layered Tidy Trees in Linear Time, and has been appropriately transformed. The abstraction of nodes also follows the abstract implementation in the paper.

Reference

For the paper, see: https://github.com/Klortho/d3-flextree/tree/master/papers

open source library: https://github.com/leungwensen/mindmap-layouts

0.68.0

9 months ago

0.67.2

9 months ago

0.67.0

9 months ago

0.67.1

9 months ago

0.66.1

10 months ago

0.66.0

10 months ago

0.65.2

11 months ago

0.62.0

1 year ago

0.59.0

1 year ago

0.62.0-next.1

1 year ago

0.62.0-next.0

1 year ago

0.62.0-next.5

1 year ago

0.62.0-next.4

1 year ago

0.62.0-next.3

1 year ago

0.62.0-next.2

1 year ago

0.62.0-next.9

1 year ago

0.62.0-next.8

1 year ago

0.62.0-next.7

1 year ago

0.62.0-next.6

1 year ago

0.63.0

1 year ago

0.65.0-next.0

11 months ago

0.64.7

11 months ago

0.64.6

11 months ago

0.64.9

11 months ago

0.64.8

11 months ago

0.64.3

12 months ago

0.64.2

12 months ago

0.64.5

11 months ago

0.64.4

11 months ago

0.60.3

1 year ago

0.64.1

12 months ago

0.64.0

12 months ago

0.60.4

1 year ago

0.60.1

1 year ago

0.60.0

1 year ago

0.62.0-next.5.1

1 year ago

0.53.1

1 year ago

0.62.0-next.10

1 year ago

0.65.1

11 months ago

0.61.2

1 year ago

0.61.1

1 year ago

0.65.0

11 months ago

0.58.0

1 year ago

0.57.0

1 year ago

0.56.2

1 year ago

0.56.1

1 year ago

0.56.0

1 year ago

0.55.1

1 year ago

0.55.0

1 year ago

0.54.0

1 year ago

0.53.0

1 year ago

0.52.0

1 year ago

0.51.4

1 year ago

0.52.0-next.0

1 year ago

0.51.3

1 year ago

0.51.2

1 year ago

0.51.0

1 year ago

0.51.1

1 year ago

0.50.1

2 years ago

0.50.0

2 years ago

0.49.0

2 years ago

0.48.0

2 years ago

0.46.0

2 years ago

0.47.0

2 years ago

0.45.0

2 years ago

0.44.0

2 years ago

0.43.0

2 years ago

0.42.0

2 years ago

0.41.0

2 years ago

0.40.0

2 years ago

0.39.0

2 years ago

0.38.0

2 years ago

0.37.0

2 years ago

0.36.0

2 years ago

0.35.0

2 years ago

0.34.0

2 years ago

0.33.0

2 years ago

0.5.0-next.0

2 years ago

0.32.0

2 years ago

0.31.0

2 years ago

0.30.0

2 years ago

0.29.0

2 years ago

0.28.0

2 years ago

0.4.0

2 years ago

0.2.0-next.3

2 years ago

0.2.0-next.2

2 years ago

0.2.0-next.0

2 years ago

0.3.0

2 years ago

0.2.0-next.9

2 years ago

0.2.0

2 years ago

0.0.57

2 years ago

0.1.0

2 years ago

0.0.46

3 years ago

0.0.47

3 years ago

0.0.49

3 years ago

0.0.30

3 years ago

0.0.32

3 years ago

0.0.21

3 years ago

0.0.10

3 years ago

0.0.33

3 years ago

0.0.35

3 years ago

0.0.13

3 years ago

0.0.36

3 years ago

0.0.15

3 years ago

0.0.9

3 years ago

0.0.29

3 years ago

0.0.19

3 years ago

0.0.6

3 years ago

0.0.2

3 years ago