Search Results for "d3"
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Showing 21 open source projects for "d3"
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D3
Bring data to life with SVG, Canvas and HTML
D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation. D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. For example... -
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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. This adds Browserify transform... -
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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... -
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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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brython
Implementation of Python 3 running in the browser
... such as jQuery, D3, Highcharts, Raphael etc. It supports the latest specs of HTML5/CSS3, and can use CSS Frameworks like Bootstrap3, LESS, SASS etc. The most simple way to get started, without anything to install, is to use the distribution available online through jsDelivr. -
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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... -
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Kanbanara
Web-based Project Management System using the Kanban methodology
... on their way to you or your own cards currently being reviewed or in QA), blockable cards, hidable cards, deferable cards, 46 card styles including a customisable one, 14-day future projection, Gantt Chart andcard backdrops. It also features a hierarchical workflow, global filter, backlog pyramid, force-directed graphs utilising d3.js, report generator, routine card manager, pair programming, support for continuing cards from one project to another. Full documentation in HTML and EPUB formats. -
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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. By using them, you can update the chart even after it's rendered. C3 enables deeper integration of charts into your... -
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Rickshaw
JavaScript toolkit for creating interactive real-time graphs
Rickshaw provides the elements you need to create interactive graphs, renderers, legends, hovers, range selectors, etc. You put the pieces together. It's all based on d3 underneath, so graphs are drawn with standard SVG and styled with CSS. Customize all you like with techniques you already know. Rickshaw is free and open source, available under the MIT license. Developed at Shutterstock. Rickshaw relies on the fantastic D3 visualization library to do lots of the heavy lifting for stacking... -
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Semiotic
A data visualization framework combining React & D3
Semiotic is a data visualization framework combining React & D3. It provides three types of frames XYFrame, OrdinalFrame, NetworkFrame, to deploy a wide variety of charts. XY data i.e. line charts and scatterplots. Categorical data i.e. bar charts, violin plots, parallel coordinates. Topological and network data i.e. flow diagrams, network visualization, and hierarchical views. A guide for creating a line chart, timeseries, difference line, and line percents using XYFrame along with hover... -
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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... -
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NN-SVG
Publication-ready NN-architecture schematics
... 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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Material Angular Dashboard
Material Angular Admin Template
Material Angular Admin Template. Material admin template is absolutely free for commercial usage theme, based on Google Material Design guidelines. -
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BeakerX
Beaker Extensions for Jupyter Notebook
BeakerX is a collection of kernels and extensions to the Jupyter interactive computing environment. It provides JVM support, Spark cluster support, polyglot programming, interactive plots, tables, forms, publishing, and more. BeakerX supports Groovy, Scala, Clojure, Kotlin, Java, and SQL, including many magics. Widgets for time-series plotting, tables, forms, and more (there are Python and JavaScript APIs in addition to the JVM languages). Polyglot magics and autotranslation, allowing you to... -
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Britecharts
Composable Charting Library based on reusable D3.js components
Britecharts is a client-side reusable Charting Library based on D3.js v5 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. The typical use of Britecharts involves creating a chart using its simple API, then rendering it on a container that has previously had data... -
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kodeWeave
HTML/CSS/JS and Markdown Playground For Web Designers and Developers
kodeWeave is a realtime coding playground for HTML, CSS and Javascript. Similar to JSFiddle and JSBin, but kodeWeave was made to work offline but also as a prototyping application to build applications for desktop operating systems while on mobile devices. (PhoneGap Build is recommended for mobile devices) kodeWeave similar to jsfiddle, jsbin, dabblet, liveweave, codepen, cssdeck, cssdesk, tinkerbin, d3 playground, plunker and pastebin, but allows you to export your web app as a desktop... -
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Flask JSONDash
Build complex dashboards without any front-end code
Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go. Easily configurable, chart dashboards from any arbitrary API endpoint. JSON config only. Ready to go. This project is a flask blueprint that allows you to create sleek dashboards without writing any front-end (or backend) code. Everything is powered through simple JSON configurations for declaring arbitrary charts. Leveraging popular libraries like C3.js and D3.js, and much more. Also... -
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aframe-react
Build virtual reality experiences with A-Frame and React
Build virtual reality experiences with A-Frame and React. A-Frame is a web framework for building virtual reality experiences. Since A-Frame is built on top of the DOM, web libraries such as React, Vue.js, Angular, Ember.js, d3.js are able to sit cleanly on top of A-Frame. I recommend using vanilla A-Frame and aframe-state-component with static templating over aframe-react. React wastes a lot of cycles and incurs a lot of memory garbage. aframe-react is often abused where it is too easy...
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