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Dimensional charting built to work natively with crossfilter rendered using d3.js. MapD-Charting is a superfast charting library that works natively with crossfilter that is based off dc.js. It is designed to work with MapD-Connector and MapD-Crossfilter to create charts instantly with our MapD-Core SQL Database. Please see examples for further understanding to quickly create interactive charts.
This library is focused on handling graph data (anything with nodes and edges) rather than chart data. Currently the only visualization uses the Dagre layout, which is specialized for directed graphs. The plan is to implement multiple visualisations for graph data within this same library. Eventually, ngx-charts-force-directed-graph may be imported into this library as another option to visualize your graph data. ngx-graph is a Swimlane open-source project; we believe in giving back to the open-source community by sharing some of the projects we build for our application. Swimlane is an automated cyber security operations and incident response platform that enables cyber security teams to leverage threat intelligence, speed up incident response and automate security operations.
This thing is designed to make it easier to work with nvd3.js re-usable charting library. This directive allows you to easily customize your charts via JSON API.The key feature is that the original hierarchical structure of nvd3 models is completely preserved in directive JSON structure. This means that while you creating a complex chart that containing multiple elementary chart models (such as line, bar, axis, ...), you can in turn customize the properties of each internal elementary models as well as the global charting properties the way you want. This can be done as usual, but it becomes quite easily to customize while applying JSON approach to.
Britecharts is a client-side reusable Charting Library based on D3.js v4 that offers easy and intuitive use of charts and components that can be composed together to create amazing visualizations.Britecharts components have been written in ES2016 with a Test Driven methodology, so they are fully tested, and we are committed to keeping them that way.
A collection of react components to render common data visualization charts, such as line/area/bar charts, heat maps, scatterplots, contour plots, pie and donut charts, sunbursts, radar charts, parallel coordinates, and tree maps.Install react-vis via npm.