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wa0x6e avatar

wa0x6e/cal-heatmap

0
View on GitHub↗
3,140 stars·306 forks·TypeScript·MIT·13 viewscal-heatmap.com↗

Cal Heatmap

cal-heatmap is a JavaScript visualization library used to render time-series data as a grid of colored cells. It functions as a customizable calendar component that maps data density and frequency over temporal intervals ranging from minutes to years.

The library provides built-in support for localized temporal displays, allowing for the adjustment of regional date formats, timezones, and locale-specific week starts. It utilizes a plugin system for both the calendar layout and heatmap charts to extend behaviors and visual styles.

The system manages data visualization through SVG-based grid rendering and includes capabilities for calendar date navigation and layout configuration. It also supports data-driven color mapping to translate numerical values into visual density patterns.

Features

  • Activity Heatmaps - Renders time-series data as a grid of colored cells to highlight activity patterns over time.
  • Time-Series Visualizers - Represents data density over time using a grid of colored cells to identify patterns and trends.
  • Numeric and Date Formatting - Adapts date and time information to different languages, timezones, and regional calendar formats.
  • Regional Conversions - Adjusts language and timezone settings to ensure dates and week starts match regional expectations.
  • SVG-Based Vector Rendering - Generates a scalable vector graphics layout to represent temporal data as a coordinate-based grid.
  • Locale-Based Date Normalization - Processes UTC timestamps into local date representations using locale settings to ensure accurate alignment.
  • Calendar Visualization Components - Provides a customizable UI component for rendering time-based data records within a grid interface.
  • Locale Displays - Adjusts date formatting and layouts based on specific locales, timezones, and reading directions.
  • Localized Temporal Displays - Offers built-in support for regional date formats, timezones, and locale-specific week starts.
  • Calendar Layout Plugins - Provides a plugin system for adding new behaviors and customizing layout options for the calendar.
  • Chart Visualization Plugins - Implements a plugin system for heatmaps to integrate custom behaviors and visual enhancements.
  • Density-Based Color Gradients - Implements data-driven color mapping to translate numerical values into visual density patterns.
  • Extensible Component Architectures - Separates calendar logic from chart visualization to allow independent configuration of styles and scales.
  • Hook-Based Plugin Systems - Provides a standardized hook and registry system for external modules to modify internal behaviors.
  • General Activity Dashboards - Enables the creation of visual interfaces that track user engagement or system events over long periods.
  • Layout Customization - Allows customization of time intervals and navigation animations to fit specific temporal data scales.
  • Temporal Navigation Interfaces - Provides dynamic browsing through different time periods to view historical data.

Star history

Star history chart for wa0x6e/cal-heatmapStar history chart for wa0x6e/cal-heatmap

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.

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Projects sharing features with Cal Heatmap

These projects share indexed features with Cal Heatmap. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • mkaz/termgraphmkaz avatar

    mkaz/termgraph

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    Termgraph is a terminal data visualization library and command line analytics tool used to render bar charts, histograms, and heatmaps directly in the shell. It utilizes ANSI escape sequences and Unicode characters to generate colorful visual data representations within a text-based environment. The tool provides specialized capabilities for transforming raw datasets into horizontal or vertical bar graphs, column charts, and stacked charts. It also functions as a heatmap generator, mapping time-series data to a calendar layout to visualize temporal patterns over a year. The library supports

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  • metricsgraphics/metrics-graphicsmetricsgraphics avatar

    metricsgraphics/metrics-graphics

    7,403View on GitHub↗

    This project is an SVG data visualization library and charting engine designed to render quantitative metrics and time-series data within a web browser. It provides a framework for creating concise visual representations of numerical data sets, such as line charts, scatterplots, and histograms. The library utilizes a component-based layout framework to organize visual elements into hierarchical structures with automated spacing and positioning. It includes a coordinate-space mapping tool that translates raw data values into pixel coordinates using linear scales and axis transformations. The

    TypeScript
    View on GitHub↗7,403
  • kalkih/mini-graph-cardkalkih avatar

    kalkih/mini-graph-card

    3,830View on GitHub↗

    mini-graph-card is a customizable dashboard card and sensor widget for Home Assistant designed to visualize historical telemetry and sensor data. It functions as a time-series data visualizer that renders historical numeric and binary sensor data as line or bar graphs using an SVG graphing component. The project differentiates itself through the ability to extract specific nested attributes from entities and map non-numeric states into numeric values for visualization. It supports dynamic visual styling via color thresholds, logarithmic scales, and filling effects, alongside a multi-axis coor

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  • morrisjs/morris.jsmorrisjs avatar

    morrisjs/morris.js

    6,882View on GitHub↗

    morris.js is a JavaScript data visualization library and SVG charting framework. It is designed to render time-series line, bar, area, and donut charts to visualize complex datasets and distribution patterns. The library specializes in time-series charting to display temporal trends and track how specific values change over time. It provides tools for statistical data representation, allowing for the comparison of different data sets or the illustration of proportions within a whole. The framework enables the creation of web dashboard analytics by transforming raw data into graphical represe

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Frequently asked questions

What does wa0x6e/cal-heatmap do?

cal-heatmap is a JavaScript visualization library used to render time-series data as a grid of colored cells. It functions as a customizable calendar component that maps data density and frequency over temporal intervals ranging from minutes to years.

What are the main features of wa0x6e/cal-heatmap?

The main features of wa0x6e/cal-heatmap are: Activity Heatmaps, Time-Series Visualizers, Numeric and Date Formatting, Regional Conversions, SVG-Based Vector Rendering, Locale-Based Date Normalization, Calendar Visualization Components, Locale Displays.

Which projects share features with wa0x6e/cal-heatmap?

Projects with overlapping indexed features include: mkaz/termgraph — Termgraph is a terminal data visualization library and command line analytics tool used to render bar charts,… morrisjs/morris.js — morris.js is a JavaScript data visualization library and SVG charting framework. It is designed to render time-series… kalkih/mini-graph-card — mini-graph-card is a customizable dashboard card and sensor widget for Home Assistant designed to visualize historical… shutterstock/rickshaw — Rickshaw is a JavaScript library for building interactive, SVG-based time series charts in the browser. It provides a… metricsgraphics/metrics-graphics — This project is an SVG data visualization library and charting engine designed to render quantitative metrics and… leeoniya/uplot — uPlot is a high-performance canvas time series charting library designed to render millions of data points with high…