There are 16 repositories under heatmap topic.
🔥 JavaScript Library for HTML5 canvas based heatmaps
:world_map: Generate an interactive geo heatmap from your Google location data
A d3 heatmap for representing time series data similar to github's contribution chart
:octocat: Draw on your GitHub contribution graph ░▒▓█
An open source user-empowering data visualization Vue 3 components library for eloquent data storytelling
IPython magic command to profile and view your python code as a heat map.
Visualize your Google Location History using an interactive heatmap
Light-weight Single Person Pose Estimator
Timelines Chart
🌞 A lightweight JavaScript library that generates customizable heat maps, charts, and statistics to visualize date-based activity and trends.
🎄 Go code coverage to SVG treemap
Python script for generating high quality heatmaps based on any coordinate data (GPS tracks, eye tracking, etc).
A library and command-line tool to access MySQL InnoDB data file directly in Java
Plot in the terminal using braille dots.
Official implementation of Score-CAM in PyTorch
OrderBook Heatmap visualizes the limit order book, compares resting limit orders and shows a time & sales log with live market data streamed directly from the Binance WS API. This was a short exploratory project. Keep in mind that a lot of work is needed for this to work in all market conditions.
A Python application for Linux machines to perform WiFi site surveys and present the results as a heatmap overlayed on a floorplan
Plot the vector graph of attention based text visualisation
Draw heatmap simply using a tidy data frame
High performance C heatmap generation library. Supposed to be wrapped by higher-level languages.
PyComplexHeatmap: A Python package to plot complex heatmap (clustermap)
A lightweight calendar heatmap Vuejs component built on SVG, inspired by github's contribution calendar graph
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
📊 Calendar heatmap graph
An interactive heatmap visualization built using D3.js
Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.