23 data tools gevonden
  • Open Sahara

    Open Sahara is a free webservice that can analyse, index and semantically enrich the content of documents, websites, and blogs.

    Additionally, Open Sahara offers professional services for software development related to text-mining, indexing, kowledge extraction, semantic plugins and applications.

  • Popcorn.js

    Popcorn.js is an HTML5 media framework written in JavaScript for filmmakers, web developers, and anyone who wants to create time-based interactive media on the web. Popcorn.js is part of Mozilla's Popcorn project.

    JavaScript
  • Protovis

    Protovis composes custom views of data with simple marks such as bars and dots. Unlike low-level graphics libraries that quickly become tedious for visualization, Protovis defines marks through dynamic properties that encode data, allowing inheritance, scales and layouts to simplify construction. Supported chart types are area, bar, column, scatter, pie, donut, line, stacked, grouped, force-directed, streamgraphs and parallel coordinates charts.

    JavaScript
  • Sigma.js

    Sigma.js is an open-source lightweight JavaScript library to draw graphs, using the HTML canvas element. It has been especially designed to display interactively static graphs exported from a graph visualization software - like Gephi and display dynamically graphs that are generated on the fly.

    JavaScript
  • Timeline JS

    Timeline JS can pull in media from different sources. It has built in support for:

    Twitter, Flickr, Google Maps, YouTube, Vimeo, Dailymotion, Wikipedia, SoundCloud and more media types in the future.

    JavaScript
  • Visualising audio with canvas

    I woke up this morning and wanted to play with the HTML5 audio API and experiment with how data from it could be visualised. So I set to work and within a couple of hours had set up a very rudimentary graphic equaliser kinda-thingy. You’ll need Firefox 4 beta to see it, but if you have Chrome or Safari, the music is cool anyway ;)

    I need to look into making it a little smoother, I think that the way I’ve applied the fast fourier transform to the data may be a bit dodgy because the bars jump around in a way which is not necessarily what you’d expect.

    Over the next few days/weeks/when I have time, I’m going to play with how else the data might be visualised.

    JavaScript