#graphes

▻https://github.com/jwilber/roughViz

roughViz.js is a reusable #JavaScript library for creating sketchy/hand-drawn styled #charts in the browser, based on D3v5, roughjs, and handy.

https://raw.githubusercontent.com/jwilber/random_data/master/roughViz.gif

#d3.js

Plotly : Falcon SQL Client
▻https://plot.ly/free-sql-client-download

https://tamarack-prismic.imgix.net/plotly%2F4406df03-e83e-45f1-b8a0-db93e6a5b2d8_big_app_screencast.gif?w=1038&h=928&fit=crop&crop=top,left&q=45&auto=format

le grapheur intégré directement dans le client SQL, ça peut être utile

#outil #sql #graphes

Frappé Charts
▻https://frappe.github.io/charts

GitHub-inspired simple and modern charts for the web with zero dependencies.

#graphes #outils #javascript (et pas #d3.js)

▻http://blockbuilder.org/Fil/e0e862c46b4fe5087f28c6f601772d78

graph-tool: Efficent network analysis with python
►http://graph-tool.skewed.de

Graph-tool is an efficient Python module for manipulation and statistical analysis of graphs (a.k.a. networks). Contrary to most other python modules with similar functionality, the core data structures and algorithms are implemented in C++, making extensive use of template metaprogramming, based heavily on the Boost Graph Library. This confers it a level of performance that is comparable (both in memory usage and computation time) to that of a pure C/C++ library.

Dessiner des #arbres et des #graphes avec #jQuery

jsPlumb qui lie des trucs avec des ancres et des connecteurs :
►http://jsplumb.org/jquery/demo.html
▻http://jsplumb.org/doc/usage.html

JIT, une super librairie de #data-visualisation (#dataviz ?), qui fait entre autre des arbres :
▻http://thejit.org
et plus particulièrement la démo de l’arbre :
▻http://philogb.github.com/jit/static/v20/Jit/Examples/Spacetree/example1.html
et son code :
▻http://philogb.github.com/jit/static/v20/Jit/Examples/Spacetree/example1.code.html

The Hierarchy and the Graph - Seven of Nine : Resistance is Futile
▻http://arnulf.us/sevendipity/archives/35-The-Hierarchy-and-the-Graph.html

Maps are structured Geographical Data

I can see a certain analogy here. What always intrigued me is that maps seem to bend the Web back down to physical locations on earth. And in my perception it is high time to redesign navigating maps - or rather geographical data - to resemble how we browse the Web. Catalogs and structured metadata fall short of addressing this need, thought they might be a handy asset. We need an open perception of data and meta and how they intermingle and link... Ah - there was that magic word again. Link it, babe.

Same for directory trees. They are good for structured layers in maps but not suitable at all for arbitrary geographical content. We should move away from folders towards dynamic graphs. Pick a node and display it in a growing map context.

#web #graphes #cartographie

arbor.js
►http://arborjs.org

Une librairie #javascript pour faire des #graphes avec #jquery. Ça peut dessiner en #canvas, en #SVG, ou en simple #HTML