Displaying 1 to 12 from 12 results

blast-radius - Interactive visualizations of Terraform dependency graphs using d3.js

  •    Javascript

Install Blast Radius with pip, and Graphviz through your system's package manager. Point Blast Radius at an init-ed Terraform project, and connect with your browser.

iheatmapr - Complex, interactive heatmaps in R

  •    HTML

iheatmapr is an R package for building complex, interactive heatmaps using modular building blocks. "Complex" heatmaps are heatmaps in which subplots along the rows or columns of the main heatmap add more information about each row or column. For example, a one column additional heatmap may indicate what group a particular row or column belongs to. Complex heatmaps may also include multiple side by side heatmaps which show different types of data for the same conditions. Interactivity can improve complex heatmaps by providing tooltips with information about each cell and enabling zooming into interesting features. iheatmapr uses the plotly library for interactivity.While there are already plenty of awesome R packages for making heatmaps, including several great packages for making relatively simple interactive heatmaps (heatmaply and d3heatmap) or complex static heatmaps (ComplexHeatmap), iheatmapr seeks to make it easy to make complex interactive heatmaps.




d3-component - A lightweight component abstraction for D3.js.

  •    Javascript

A lightweight component abstraction for D3.js. Using this component abstraction, you can easily encapsulate data-driven user interface components as conceptual "boxes-within-boxes", cleanly isolating concerns for various levels of your DOM tree. This component abstraction is similar in concept and functionality to React Stateless Functional Components. Everything a component needs to render itself and interact with application state gets passed down through the component tree at render time. Components don't store any local state; this is the main difference between d3-component and the Towards Reusable Charts pattern. No special treatment is given to events or event delegation, because the intended use is within a unidirectional data flow architecture like Redux.

arulesViz - Visualizing Association Rules and Frequent Itemsets with R

  •    R

This R package extends package arules with various visualization techniques for association rules and itemsets. The package also includes several interactive visualizations for rule exploration. Current development version: Download package from AppVeyor or install from GitHub (needs devtools).

autoplotly - Automatic Generation of Interactive Visualizations for Statistical Results

  •    R

This R package provides functionalities to automatically generate interactive visualizations for many popular statistical results supported by ggfortify package with plotly.js and ggplot2 style. The generated visualizations can also be easily extended using ggplot2 syntax while staying interactive. Please check out the introductory examples here.

Glimma - Glimma R package

  •    R

Welcome to Glimma, a R package for creating interactive plots for differential expression analysis. If you find bugs please let me know by submitting an issue to this project. If possible please provide a small runnable example demonstrating the bug, operating system and R version.


helios - HELIOS - the Heidelberg LiDAR Operations Simulator - is a software package for interactive real-time simulation and visualisation of terrestrial, mobile and airborne laser scan surveys written in Java

  •    Java

The pre-built project is available here with a test scene and survey. Note that for faster simulations building the project is recommended. To build the project, first install the dependencies, then compile the source code, and finally execute it.

gradual_shiny - Workshop introducing Shiny programming concepts

  •    R

Welcome to the workshop! We'll introduce you to the basics behind Shiny, an easy to use web application framework in R. We'll learn the basics by building a data exploration app piece by piece. Open up the tutorial at http://laderast.github.io/gradual_shiny. There's more info on getting started in there.

Kyrix - Interactive pan/zoom data visualizations at scale

  •    Javascript

Kyrix is a system that facilitates the creation of data visualizations with details-on-demand interactions (e.g. pan and zoom, see example demos above). In this paradigm, the user often starts at an overview of the dataset, zooms into a particular region of interest to see more details, zooms out then repeats. As demonstrated by early research, this interaction pattern is easily learnable and particularly effective in reducing users' burden when exploring large datasets, while also preserving their sense of position and context. Many of Pan/zoom visualizations are purpose-built (e.g. Google Maps) and are not easily extensible. Kyrix provides a general framework for easy creation of such visualizations. In visualizations of such, the underlying dataset is often large. To deal with large data, Kyrix is focused on optimizing two goals: 1) usable declarative API library for visualization developers and 2) 500ms response time to user interactions, which is required to enable interactive browsing. See our EuroVis paper for more technical details.