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potion - React components for declaratively composing animated, interactive visualizations.
Potion is a collection of React components for declaratively composing animated, interactive visualizations. The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
REAVIZ is a modular chart component library that leverages React natively for rendering the components while using D3js under the hood for calculations. The library provides an easy way to get started creating charts without sacrificing customization ability.
Let React have complete control over the DOM even when using D3. This way we can benefit from Reacts Virtual DOM. to start a webserver, and navigate to http://localhost:8000/example in order to visualize the new example page. Note that the example page directly points to the dist folder.
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.
F2 is born for mobile, developed for developers as well as designers. It is Html5 Canvas-based, and is also compatible with Node.js, Weex and React Native. Based on the grammar of graphics, F2 provides all the chart types you'll need. Our mobile design guidelines enable better user experience in mobile visualzation projects. Special thanks to Leland Wilkinson, the author of The Grammar Of Graphics, whose book served as the foundation for F2 and G2.
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.
An svg map component built with and for React. It allows the creation of pure react svg maps. React-simple-maps aims to make working with svg maps in react easier. It handles tasks such as panning, zooming and simple rendering optimization, and takes advantage of parts of d3-geo and topojson-client instead of relying on the entire d3 library.
A much improved decorator system has been introduced, allowing for greater flexibility and less complexity. See releases for more information. In order to not bloat this README to much we've moved some examples over to react-native-svg-charts-examples. There we will try to showcase the really cool things you can do with this library. This README will try to keep things as simple as possible so that everybody can get up and running as fast as possible.
vx is a collection of reusable low-level visualization components. vx combines the power of d3 to generate your visualization with the benefits of react for updating the DOM. Let's make a simple bar graph.
This library contains a set of modular charting components used for building flexible interactive charts. It was built for React from the ground up, specifically to visualize timeseries data and network traffic data in particular. Low level elements are constructed using d3, while higher level composability is provided by React. Charts can be stacked as rows, overlaid on top of each other, or any combination, all in a highly declarative manner. The library is used throughout the public facing ESnet Portal.
d3 has been the de facto standard when it comes to data visualisations for a while now and React has recently emerged as the go-to library for building user interfaces. d3 and React are both data-centric libraries, making them a natural fit; d3 takes a data-driven approach and React aims to solve the problem of data changing over time in the context of building large applications. Nicolas Hery's "Integrating D3.js visualizations in a React app" talks about letting d3 do all the work after React has finished rendering components in the DOM. d3act is inspired by @nicolas_hery's approach; create a lightweight React component wrapper that maps React's lifecycle methods componentDidMount, componentDidUpdate and componentWillUnmount into a d3 chart's create, update and unmount methods respectively.
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.
nivo provides supercharged React components to easily build dataviz apps, it's built on top of d3. Several libraries already exist for React d3 integration, but just a few provide server side rendering ability and fully declarative charts.
Note: react-native-svg has strict version requirements for both react and react-native. Please match versions to those required by react-native-svg. See the up-to-date requirements on the react-native-svg Readme. We encourage you to use the latest version of react-native-svg possible for your project, as victory-native issues are frequently solved by react-native-svg bugfixes.Full documentation can be found here.
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.