Displaying 1 to 20 from 194 results

rickshaw - JavaScript toolkit for creating interactive real-time graphs


See the overview, tutorial, and examples for more.In the browser, manually add rickshaw.min.js and rickshaw.min.css in the document head.




react-vis - Data-Visualization oriented components


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.

billboard


Re-usable easy interface JavaScript chart library, based on D3 v4+


angular-nvd3 - AngularJS directive for NVD3 reusable charting library (based on D3)


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.

docker-swarm-visualizer - A visualizer for Docker Swarm Mode using the Docker Remote API, Node


Also this is a sample app meant for learning Docker. Running this app in production is insecure and should be avoided. If you want to run it in production you must take all security precautions, and in particular Protect the Docker daemon socket with SSL.This project was originally created by Francisco Miranda for the 2015 DockerCon EU keynote. It was adapted to be used for the 2016 DockerCon US keynote showcasing Docker swarm mode. Since then the community has generously contributed many updates. Thanks to all the contributors, and a special thanks to @DovAmir and @alexellis for their big contributions.

Britecharts - Client-side reusable Charting Library based on D3


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.

victory - A collection of composable React components for building interactive data visualizations


Projects using Victory should also depend on React and prop-types.The victory repo aggregates stable victory components that are developed in other repos. The victory repo is only updated with new releases, but the following repos are under very active development.

space-radar - Disk And Memory Space Visualization App built with Electron & d3.js


SpaceRadar allows interactive visualization of disk space and memory. It currently supports Sunburst, Treemap, and Flamegraph charts. Compressed files can be read directly. To detect them, the file name has to end with .gz.

plotly.py - An interactive, browser-based graphing library for Python :sparkles:


Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. plotly.py is MIT Licensed. Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or hosted online on plot.ly.