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picasso.js icon

picasso.js

 7 likes

Turn boring data into a visual masterpiece using picasso.js, an open-source library from Qlik.

picasso.js screenshot 1

License model

  • FreeOpen Source

Application type

Country of Origin

  • SE flagSweden
  • European Union flagEU

Platforms

  • Online
  • Self-Hosted
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Features

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Properties

  1.  Support for Themes

Features

  1.  Extensible by Plugins/Extensions
  2.  Data visualization
  3.  Interactive Visualization

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picasso.js information

  • Developed by

    SE flagQlik
  • Licensing

    Open Source (MIT) and Free product.
  • Written in

  • Alternatives

    18 alternatives listed
  • Supported Languages

    • English

GitHub repository

  •  188 Stars
  •  55 Forks
  •  28 Open Issues
  •   Updated Jun 5, 2025 
View on GitHub

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picasso.js was added to AlternativeTo by Hannes Lindquist on Sep 12, 2018 and this page was last updated Dec 6, 2022.
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What is picasso.js?

Turn your data into a visual masterpiece

Components in picasso.js Components are the visual building blocks that make up the chart, by combining them in various forms virtually any chart can be created. A bar chart, for example, consists of a bar layer, a continuous and a discrete axis. Add a line layer and you have a combo chart. Want a line chart with four axes? - Not a problem.

picasso.js is extensible picasso.js provides a plugin system that makes it easy to extend existing functionality - you can register and use custom components that play well with the existing ones, create a new theme, provide your own data parser or even register a custom renderer that outputs sketchy graphics. picasso.js uses D3.js for a lot of its functionality and strives to provide the D3 community with a way to repurpose and easily integrate their work into picasso.js.

Interactive Apart from basic interaction patterns, interactivity in the form of brushing and linking is provided out of the box - drag a range on a linear axis to highlight all values that fall within that range, our use the lasso tool to highlight a cluster of points. The brushed values can then programmatically be linked and highlighted in another chart instance.

Responsive By using relative units and a unique layout algorithm we can ensure the composed charts are responsive. The same configuration can be used for a full sized chart containing details, annotations etc., as for a sparkline version - components are automatically resized or removed if they don't fit.

Themeable The visual look of labels, lines, shapes, color palettes etc. can all be modified and a new theme created by just changing a few base variables that control the look and feel throughout, including plugins.

Official Links