Why Java Developers Will Embrace Angular 2 and TypeScript | Voxxed

Why Java Developers Will Embrace Angular 2 and TypeScript | Voxxed:



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Visualisation, HTML5, UX and HTTP links

modeling-languages.com: 10 JavaScript libraries to draw your own diagrams

Comparative table of JavaScript drawing libraries

To finish here is a basic comparative table between the presented libraries.

Library	License	Language / infrastructure	high/low level	built-in editor	Github (04/02/2015)
JointJS	MPL	HTML Javascript SVG	high	No	1388 stars 265 forks
Rappid	Commercial 1 500,00 €	HTML Javascript SVG	high	Yes
Mxgraph	Commercial 4300.00 €	HTML Javascript SVG	high	Yes
GoJS	Commercial $1,350.00	HTML Canvas Javascript	High	Yes
Raphael	MIT	HTML Javascript SVG	low	No	7105 stars 1078 forks
Draw2D	GPL2 commercial	HTML Javascript SVG	medium	No
D3	BSD	HTML Javascript SVG	low	No	36218 stars 9142 forks
FabricJS	MIT	HTML Canvas javasript	low	No	4127 stars 705 forks
paperJS	MIT	HTML Canvas javascript	low	No	4887 stars 496 forks
JsPlumb	MIT/GPL2	HTML Javascript	medium	No	2161 stars 563 forks

Torsten Möller: Data Visualization Course

http://www2.cs.sfu.ca/~torsten/Teaching/Cmpt467/

Content Description:

Visualization deals with all aspects that are connected with the visual representation of data sets from scientific experiments, simulations, medical scanners, databases, web system, and the like in order to achieve a deeper understanding or a simpler representation of complex phenomena and to extract important information visually. To obtain these goals, both well-known techniques from the field of interactive computer graphics and completely new methods are applied. The objective of the course is to provide knowledge about visualization algorithms and data structures as well as acquaintance with practical applications of visualization. Through several projects the student is expected to learn methods to explore and visualize different kinds of data sets.

• Introduction and historical remarks
• Abstract visualization concepts and the visualization pipeline
• Data acquisition and representation (sampling and reconstruction; grids and data structures).
• Basic mapping concepts
• Visualization of scalar fields (isosurface extraction, volume rendering)
• Visualization of vector fields (particle tracing, texture-based methods, vector field topology)
• Tensor fields, multi-attribute data, multi-field visualization
• Human visual perception + Color
• Space/Order + Depth/Occlusion
• Focus+Context; Navigation+Zoom
• Visualization of graphs and trees and high-dimensional data
• Evaluation + Interaction models