Search Results for "d3"
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Showing 12 open source projects for "d3"
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Recharts
Redefined chart library built with React and D3
A composable charting library built on React components. Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules. Customize your chart by tweaking component props and passing in custom components. -
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visx
Visualization components
visx a collection of expressive, low-level visualization primitives for React. At Airbnb, we made it a goal to unify our visualization stack across the company and in the process, we created a new project that brings together the power of D3 with the joy of React. visx is split into multiple packages. Start small and use only what you need. Bring your own state management, animation library, or CSS-in-JS solution. Odds are good your React app already has an opinion on how animation, theming, or styling is done. visx is careful not to add another one and integrates with all of them. ... -
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nivo
A rich set of dataviz components
nivo provides a rich set of dataviz components, built on top of the awesome d3 and Reactjs libraries. Several libraries already exist for React d3 integration, but just a few provide server side rendering ability and fully declarative charts. In order to use nivo, you have to install the @nivo/core package and then choose some of the scoped @nivo packages according to the charts you wish to use. Given an array of data series having an id and a nested array of points (with x, y properties), it will compute the line for each data series. ... -
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D3.js
A JavaScript library for visualizing data using web standards
D3.js (or D3 for Data-Driven Documents) is a JavaScript library that allows you to produce dynamic, interactive data visualizations in web browsers. With D3 you can bring data to life using SVG, Canvas and HTML. Powerful visualization and interaction techniques plus a data-driven approach to DOM manipulation means D3.js gives you greater design freedom and control over the final result. -
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plotly.js
JavaScript charting library behind Plotly and Dash
Plotly JavaScript Open Source Graphing Library. Built on top of d3.js and stack.gl, Plotly.js is a high-level, declarative charting library. plotly.js ships with over 40 chart types, including 3D charts, statistical graphs, and SVG maps. plotly.js is free and open source and you can view the source, report issues or contribute on GitHub. For plotly.js to build with Webpack you will need to install ify-loader@v1.1.0+ and add it to your webpack.config.json. -
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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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C3.js
A D3-based reusable chart library
C3 makes it easy to generate D3-based charts by wrapping the code required to construct the entire chart. We don't need to write D3 code any more. C3 gives some classes to each element when generating, so you can define a custom style by the class and it's possible to extend the structure directly by D3. C3 provides a variety of APIs and callbacks to access the state of the chart. -
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PixieDust
Python Helper library for Jupyter Notebooks
PixieDust is an open source Python helper library that works as an add-on to Jupyter notebooks to improve the user experience of working with data. It also fills a gap for users who have no access to configuration files when a notebook is hosted on the cloud. -
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Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This capability can often be leveraged by sending users to the same URL that your visualization code uses internally to load the data. ... -
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NN-SVG
Publication-ready NN-architecture schematics
...The tool provides the ability to generate figures of three kinds: classic Fully-Connected Neural Network (FCNN) figures, Convolutional Neural Network (CNN) figures of the sort introduced in the LeNet paper, and Deep Neural Network figures following the style introduced in the AlexNet paper. The former two are accomplished using the D3 javascript library and the latter with the javascript library Three.js. NN-SVG provides the ability to style the figure to the user's liking via many size, color, and layout parameters. -
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Britecharts
Composable Charting Library based on reusable D3.js components
...Additionally, each chart or component can expose specific methods you can find in the documentation. Britecharts components are distributed in UMD modules, each one exposing a D3.js component written with the Reusable API pattern. To use any of the Britecharts modules, you will need to require the chart in your JS file using AMD/CommonJS modules or adding a script tag with the src pointing to the file. -
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Pt
An experimental library on point, form, and space
Pt.js is an experimental JavaScript/TypeScript toolkit for generative visuals and interactive graphics. Built around the ideas of Point, Form, and Space, it provides entities for vectors, shapes, animations, and event handling. Suitable for visualizations, D3-like interactions, and creative coding experiments in browser or desktop.
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