RAWGraphs

The project was started in 2013 by a group of researchers of Politecnico di Milano{{cite book |last1= Mauri|first1= Michele|last2= Elli|first2= Tommaso|last3=Caviglia|first3=Giorgio|last4=Uboldi|first4=Giorgio|last5=Azzi|first5=Matteo|title= Proceedings of the 12th Biannual Conference on Italian SIGCHI Chapter|chapter= RAWGraphs|date= 2017|year= 2017 |isbn=978-1-4503-5237-6|pages= 28:1–28:5 |publisher=ACM|chapter-url=https://doi.org/10.1145/3125571.3125585|doi=10.1145/3125571.3125585 |s2cid= 28530715|access-date=}}{{Citation| url = http://thewhyaxis.info/raw/ | title = Add Raw to Your Roster of Visualization Tools | author= Bryan Connor| work = The Why Axis | access-date = 2021-10-14}} with the original name of "RAW". Version 1.0.0 was released in 2014. In the same year the tool won the "Most Beautiful" award at the Kantar Information is Beautiful Awards 2014 organized by David McCandless.{{Citation| url = https://archive.today/20210821080421/https://www.informationisbeautifulawards.com/showcase?action=index&award=2014&controller=showcase&page=1&pcategory=most-beautiful&type=awards | title = Most Beautiful Award in 2014 | work = Information is Beautiful Awards | access-date = 2021-08-21}}

In 2017 the project was re-launched thanks to private support.{{Citation| url = https://datastori.es/91-visualizing-data-with-raw/ | title = Visualizing Data with RAW | work = Data Stories | author= Enrico Bertini, Moritz Stefaner | date = 7 February 2017 | access-date = 2021-10-14}} It changed the license from LGPL to Apache 2 and the project name to "RAWGraphs".

In August 2019 the team launched a crowdfunding campaign to harvest economical support for developing a new version of the tool. Version 2.0.0 was released in September 2020 to backers, and publicly in February 2021.{{Citation| url = https://flowingdata.com/2021/03/04/rawgraphs-2-0-an-open-source-tool-to-visualize-data/ | title = RAWGraphs 2.0, an open-source tool to visualize data | work = FlowingData | author = Nathan Yau | date = 4 March 2021 | access-date = 2021-08-17}}

The new version presents a modular architecture composed by a core JavaScript library, an expandable library of visual models, and a web-based GUI written in React.

RAWGraphs has been used in a number of research projects in academia,{{Citation| url = https://www.scopus.com/results/citedbyresults.uri?sort=plf-f&cite=2-s2.0-85034629979&src=s&imp=t&sid=f1feb1390606a978e762a1bbed919987&sot=cite&sdt=a&sl=0&origin=resultslist&editSaveSearch=&txGid=7acc27467860052526931859ecb099db | title = Academic papers citing RAWGraphs | publisher = Scopus | access-date = 2021-08-17}}

and is used also by journalist{{Citation| url = https://gijn.org/2020/11/24/my-favorite-tools-alberto-cairo-on-data-visualization/ | title = My Favorite Tools: Alberto Cairo on Data Visualization | publisher = Global Investigative Journalism Network | access-date = 2021-08-27 |first=Philp|last=Rowan| date = 24 November 2020 }} and graphic designer thanks to its ability of creating clean, SVG-based images that can be further edited with any other software.

In version 2.0 the available charts are:

• Alluvial diagram
• Arc diagram
• Bar chart
• Multi-set bar chart
• Stacked bar chart
• Beeswarm plot
• Box plot
• Bumpchart
• Circle packing
• Dendrograms:
• Circular dendrogram
• Linear dendrogram
• Gantt chart
• Horizon graph
• Line chart
• Matrix Plot
• Parallel coordinates
• Radar chart
• Sankey diagram
• Scatterplots:
• Bubble chart
• Contour plot over bubble chart
• Convex hull grouping
• Hexagonal binning grouping
• Streamgraph (also known as Area chart)
• Sunburst diagram
• Treemap
• Violin plot
• Voronoi Diagram

the software can load data from the following sources:

• static files (CSV, TSV, Excel files)
• Data from endpoints (in tabular or JSON format)
• Data from SPARQL endpoints (e.g. Wikidata)

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