RAWGraphs
RAWGraphs is an open source app built with the goal of making the visualization of complex data easy for everyone. Born as tool for designers and vis geeks, RAWGraphs aims at providing a missing link between spreadsheets and vector graphics editors.
EU
Features
- Works Offline
- Gantt-charts
- Charts
- Graphs
- Data visualization
- Drag and Drop
Tags
- Html5
- horizon-graph
- Javascript Development
- area-graph
- alluvial-diagram
- barchart
- convex-hull
- chart
- PieChart
- voronoi
- boxplot
- circle-packing
- charting
- javascript-based
- streamgraph
- dendrogram
- Javascript Libraries
- sunburst
- bump-chart
- angular
- analytics
- Data Analysis
- d3.js
- delaunay
- parallel-coordinates
- treemap
- SVG
RAWGraphs News & Activities
Recent activities
datastripes added RAWGraphs as alternative to Datastripes
kylejlarson added RAWGraphs as alternative to SnappyCharts- sillyfox liked RAWGraphs
POX added RAWGraphs as alternative to Apache Echarts
RAWGraphs information
Developed by
DensityDesign Licensing
Open Source (Apache-2.0) and Free product.Alternatives
69 alternatives listedSupported Languages
- English
AlternativeTo Categories
Development, Photos & GraphicsGitHub repository
- 330 Stars
- 48 Forks
- 1 Open Issues
- Updated
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What is RAWGraphs?
RAW Graphs is an open source data visualization framework built with the goal of making the visual representation of complex data easy for everyone.
Primarily conceived as a tool for designers and vis geeks, RAW Graphs aims at providing a missing link between spreadsheet applications (e.g. Microsoft Excel, Apple Numbers, OpenRefine) and vector graphics editors (e.g. Adobe Illustrator, Inkscape, Sketch).
The project, led and maintained by the DensityDesign Research Lab (Politecnico di Milano) was released publicly in 2013 and is regarded by many as one of the most important tools in the field of data visualization.
The team responsable for the design, development and mantainance of the project is composed by DensityDesign , Calibro and Inmagik , who joined the team in 2019.
Comments and Reviews
Great visualization framework. easy to use.