Displaying 1 to 20 from 34 results

Leaflet.heat - A tiny, simple and fast heatmap plugin for Leaflet.

  •    Javascript

A tiny, simple and fast Leaflet heatmap plugin. Uses simpleheat under the hood, additionally clustering points into a grid for performance. Each point in the input array can be either an array like [50.5, 30.5, 0.5], or a Leaflet LatLng object.

datashader - Turns even the largest data into images, accurately.

  •    Python

Each record is projected into zero or more bins of a nominal plotting grid shape, based on a specified glyph. Reductions are computed for each bin, compressing the potentially large dataset into a much smaller aggregate array.

reaviz - 📊 Data visualization library for React based on D3

  •    TypeScript

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.

simpleheat - A tiny JavaScript library for drawing heatmaps with Canvas

  •    Javascript

A super-tiny JavaScript library for drawing heatmaps with Canvas. Inspired by heatmap.js, but with focus on simplicity and performance. Powers Leaflet.heat, a heatmap plugin for Leaflet.

pyheatmagic - IPython magic command to profile and view your python code as a heat map.

  •    Python

IPython magic command to profile and view your python code as a heat map using py-heat. Please use issue tracker for reporting bugs or feature requests.

location-history-visualizer - Visualize your Google Location History using an interactive heatmap

  •    Javascript

A tool for visualizing your complete, consolidated, collected Google Location History. It works directly in your web browser – no software to download, no packages to install. Everyone deserves to know what data is being collected about them, without having to fiddle with cryptic pieces of software.

pyheat - pprofile + matplotlib = Python program profiled as an awesome heatmap!

  •    Python

Profilers are extremely helpful tools. They help us dig deep into code, find and understand performance bottlenecks. But sometimes we just want to lay back, relax and still get a gist of the hot zones in our code. A picture is worth a thousand words.

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-heatmap - D3 heatmap

  •    Javascript

D3 heatmap chart. See source for examples and documentation.

grafana-cal-heatmap-panel - Cal-HeatMap Panel Plugin for Grafana

  •    Javascript

Caution: This plugin is still unstable. This plugin provides calendar with heatmap, like GitHub contribution calendar.

gtfs-visualizations - Visualizing GTFS data.

  •    Javascript

GTFS is an abbreviation for General Transit Feed Specification, a standard which “defines a common format for public transportation schedules and associated geographic information” (source). The idea of this project is to generate beautiful and informative visualizations from publicly available GTFS datasets. The program draws the routes which transportation entities take and emphasizes the ones which are frequented more often by painting them thicker and in a stronger opacity.

Leaflet.hotline - A Leaflet plugin for drawing colored gradients along polylines.

  •    Javascript

A Leaflet plugin for drawing colored gradients along polylines. This is useful for visualising values along a course, for example: elevation, velocity, or heart rate. Inspired by Leaflet.heat. Leaflet.hotline works with Leaflet 1.0.3, which is available through NPM, Bower, and GitHub download. Leaflet.hotline needs a browser with canvas support because it creates its own renderer that draws on a canvas element.

QHeatMap - Generate Heat map in Qt.

  •    C++

Generate Heat map in Qt.


  •    Javascript

A heatmap overlay for react-map-gl built using webgl-heatmap originally created by Florian Boesch. Where each element in cities looks like: {longitude, latitude}.

mapsapi-heatmap - Heatmap: Yandex.Maps API plugin for data visualization

  •    Javascript

Heatmap is a graphical representation of some spatial data where density values are indicated with different colors. Heatmap class allows to construct and display such representations over geographical maps. Put module source code (heatmap.min.js) on your CDN.

wait4disney - Shanghai Disney Waiting Queue Statistics 上海迪士尼排队情况

  •    Python

We all love Shanghai Disneyland, but the long long long waiting queue is going to kill us. So I need a better place to find which attraction is the lightest. Also I want to find out which season is the best choice to travel to Disneyland, the statistic will give me the answer.

calendar_heatmap - flexible calendar heatmaps for your daily timeseries needs!

  •    Javascript

<script src="calendar_heatmap.bundle.js"></script> and carry on. Note: You probably want the timeframe of your data to span somewhere between a couple months and a couple years to make this type of visualization. A year's worth of data might make the most sense...

heatmaply - Interactive Heat Maps for R Using plotly

  •    R

A heatmap is a popular graphical method for visualizing high-dimensional data, in which a table of numbers are encoded as a grid of colored cells. The rows and columns of the matrix are ordered to highlight patterns and are often accompanied by dendrograms. Heatmaps are used in many fields for visualizing observations, correlations, missing values patterns, and more. Interactive heatmaps allow the inspection of specific value by hovering the mouse over a cell, as well as zooming into a region of the heatmap by dragging a rectangle around the relevant area.