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pa7/heatmap.js

0
View on GitHub↗
www.patrick-wied.at/static/heatmapjs↗

Heatmap.js

heatmap.js is a JavaScript data visualization library used to render data density visualizations on a web page. It functions as an HTML5 canvas heatmap library that represents the intensity of data points across a coordinate system using color gradients.

The library provides tools for geospatial distribution mapping and user behavior analysis, such as mapping click patterns and interaction hotspots. It is also used to add visual intensity layers to interactive data dashboards to identify trends and anomalies.

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Features

  • Heatmap Visualization - Provides a library to create visual representations of data density on a canvas.
  • Canvas Rendering - Utilizes direct pixel manipulation on an HTML5 canvas to render high-performance density maps.
  • Data-to-Pixel Coordinate Transforms - Translates abstract data coordinates into specific pixel offsets to accurately place heat intensity markers.
  • Data Visualization Libraries - Provides a set of tools for drawing dynamic graphical representations of datasets directly in the browser.
  • Heatmap Renderers - Generates density-based color overlays using weighted points to visualize data distribution.
  • HTML5 Canvas Libraries - Functions as a JavaScript library specifically designed for rendering 2D density visualizations using the HTML5 Canvas API.
  • Data Visualization Tools - Provides a tool for transforming raw data into graphical representations of intensity using color gradients.
  • Heatmap Visualizations - Creates visual overlays representing the concentration and intensity of data points on web pages.
  • Geospatial Mapping - Represents the concentration of events or objects across a coordinate system or map interface.
  • Radial Gradient Overlays - Uses circular gradient overlays at each data point to simulate heat intensity and organic blending.
  • Color Lookup Tables - Maps grayscale intensity values to a predefined color palette using a transition table to generate the heat effect.
  • Color Blending - Implements additive color blending to represent increasing data density through shifts in color.
  • User Behavioral Mapping - Maps user click patterns and interaction hotspots to analyze and improve interface design.
  • Offscreen Rendering - Renders density maps to a hidden offscreen canvas before transferring the final result to the visible screen.
  • Data Visualization - Heatmap library based on HTML5 canvas.
  • Game Engines - Canvas-based library for generating heatmaps.
6,373 stars·1,318 forks·JavaScript·MIT·20 views

Star history

Star history chart for pa7/heatmap.jsStar history chart for pa7/heatmap.js

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Frequently asked questions

What does pa7/heatmap.js do?

heatmap.js is a JavaScript data visualization library used to render data density visualizations on a web page. It functions as an HTML5 canvas heatmap library that represents the intensity of data points across a coordinate system using color gradients.

What are the main features of pa7/heatmap.js?

The main features of pa7/heatmap.js are: Heatmap Visualization, Canvas Rendering, Data-to-Pixel Coordinate Transforms, Data Visualization Libraries, Heatmap Renderers, HTML5 Canvas Libraries, Data Visualization Tools, Heatmap Visualizations.

Which projects share features with pa7/heatmap.js?

Projects with overlapping indexed features include: square/cubism — Cubism is a JavaScript time series visualization library and charting engine designed to render temporal data… bqplot/bqplot — bqplot is an interactive data visualization library for IPython and Jupyter notebooks that utilizes a grammar of… bloomberg/bqplot — bqplot is an interactive data visualization library for Jupyter notebooks. It implements a grammar of graphics model,… epochjs/epoch — Epoch is a CSS-stylable charting engine and visualization library designed for real-time and statistical data. It… googlemaps/android-maps-utils — This project is a utility library for the Google Maps SDK for Android, providing a suite of specialized tools for… scottplot/scottplot — ScottPlot is a cross-platform, high-performance charting library for .NET that renders interactive plots across…

Projects sharing features with Heatmap.js

These projects share indexed features with Heatmap.js. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
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    square/cubism

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    Cubism is a JavaScript time series visualization library and charting engine designed to render temporal data sequences as visual charts. It functions as a real-time dashboard framework that aggregates multiple time series visualizations into a single interface. The library allows for the creation of live dashboards that automatically update as new information arrives from external sources. It specializes in visualizing sequential data points across a shared temporal axis to facilitate synchronized data analysis and the monitoring of trends and patterns. The framework provides capabilities f

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  • bqplot/bqplotbqplot avatar

    bqplot/bqplot

    3,693View on GitHub↗

    bqplot is an interactive data visualization library for IPython and Jupyter notebooks that utilizes a grammar of graphics. It functions as a tool for creating 2D charts and maps with real-time updates and bidirectional communication between the kernel and frontend. The library is distinguished by its ability to act as a geographic data visualization tool, rendering choropleth maps and spatial data via GeoJSON and custom projections. It also serves as a financial charting tool for producing OHLC and candle bar charts, and as an interactive dashboard framework for combining plotting widgets wit

    TypeScriptipythonjupytervisualizations
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  • bloomberg/bqplotbloomberg avatar

    bloomberg/bqplot

    3,693View on GitHub↗

    bqplot is an interactive data visualization library for Jupyter notebooks. It implements a grammar of graphics model, allowing users to build complex 2D charts by combining marks, scales, and axes. The library distinguishes itself with specialized toolkits for financial charting, such as OHLC candlesticks and time-series analysis, and geographic data visualization, including choropleths and custom map projections for TopoJSON and GeoJSON data. It enables deep interaction through tools like lasso selection, rectangular brushing, and the ability to manually manipulate plot points or line data.

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  • epochjs/epochepochjs avatar

    epochjs/epoch

    4,950View on GitHub↗

    Epoch is a CSS-stylable charting engine and visualization library designed for real-time and statistical data. It functions as a timeseries charting tool that renders historical and live data using a hybrid of SVG and HTML5 Canvas graphics to maintain performance during frequent updates. The library distinguishes itself through a unified CSS querying system that applies styles to both vector and raster plot elements. This allows for visual theme resolution via CSS classes and the ability to customize the appearance of specific data series using stylesheets. The toolset covers a broad range o

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