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    textures.js

    textures.js

    SVG patterns for data visualization

    Textures.js is a JavaScript library for creating SVG patterns. Made on top of d3.js, it is designed for data visualization. Import textures.js from NPM. You can also use textures.js in your HTML page with a <script> tag by downloading textures.js to a local folder or by using the Unpkg CDN network. Textures.js can be used alongside d3.
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    dc.js

    dc.js

    Multi-Dimensional charting built to work natively with crossfilter

    ...Dimensional charting built to work natively with crossfilter rendered using d3.js. In dc.js, each chart displays an aggregation of some attributes through the position, size, and color of its elements, and also presents a dimension which can be filtered. When the filter or brush changes, all other charts are updated dynamically, using animated transitions. dc.js is an easy yet powerful javascript library for data visualization and analysis in the browser and on mobile devices.
    Downloads: 0 This Week
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  • 3
    Interactable

    Interactable

    Experimental implementation of high performance interactable views

    ...Swipeable card (a la Google Now) springing into place unless swiped away with enough force. Drawer snapping between closed and open with buttons appearing gradually as it's being dragged. Collapsible header that snaps to a smaller size as the content below is being scrolled. Chat heads (a la Facebook Messenger) that can be dragged around but snap to corners of the screen. All of these use-cases have views that continuously interact with the user's gestures. These interactions are normally physical in nature, having properties like springiness, friction, elasticity and damping. ...
    Downloads: 0 This Week
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  • 4
    React Trend

    React Trend

    Simple, elegant spark lines

    Unfortunately, none of this project's authors have the time/enthusiasm to maintain this project right now. We recommend forking this project, or reading its source to learn how it's built). Graphing tools are often complex, abstract, and heavy. They require domain-specific knowledge and significant time investment. While building rich data visualizations for an analytics app, is a necessary cost. But what if you just need a sparkline that shows a trend? These are very simple and elegant...
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