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jasondavies avatar

jasondavies/d3-cloud

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View on GitHub↗
www.jasondavies.com/wordcloud↗

D3 Cloud

d3-cloud is a JavaScript library for creating non-overlapping word cloud layouts using the D3.js data visualization framework. It serves as a text visualization tool that converts raw text or CSV data into scalable vector graphics and stylized typographic clouds.

The library utilizes a spiral-based collision layout algorithm to compute coordinates and rotations, ensuring that words within a visual cluster do not overlap. It maps word frequency to font size and supports a customized layout process where positions are calculated based on text distribution.

The system covers data processing for text and CSV imports, visual style customization for typography and color, and the generation of high-resolution PNG or SVG exports. It also includes mechanisms for tracking layout progress to enable incremental rendering of words.

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Features

  • Spiral-Based Search - Computes non-overlapping coordinates by scanning an expanding spiral path to place words.
  • Word Cloud Generators - Provides a JavaScript library for generating non-overlapping word cloud visualizations from text data.
  • Frequency Scaling Utilities - Maps word occurrence counts to font sizes using linear or logarithmic frequency scaling.
  • Pixel-Grid Occupancy Mapping - Uses a boolean pixel grid to track used screen space and detect collisions between words.
  • Custom Text Rendering - Implements custom text rendering to arrange words with specific fonts and rotations.
  • SVG-Based Vector Rendering - Implements an SVG-based vector rendering system to display word coordinates and rotations.
  • SVG Data Visualization - Renders dynamic, scalable vector graphics based on text frequency and distribution data.
  • Text Visualization Tools - Transforms textual data into stylized typographic word cloud representations.
  • Word Cloud Layouts - Creates visual clusters of words where size represents frequency using D3.js.
  • Iterative Placement Algorithms - Calculates word positions iteratively by attempting repeated placements based on word size.
  • Word Frequency Counters - Tallys word occurrences in raw text or CSV data to determine visual sizing.
  • Coordinate-Based Position Calculators - Computes non-overlapping coordinates and rotations for text elements.
  • Spiral Collision Avoidance - Computes coordinates and rotations to prevent word overlap using a spiral-based algorithm.
  • CSV Imports - Processes raw text and CSV files to determine word frequency and distribution.
  • Programmatic SVG Generation - Programmatically generates scalable SVG and PNG word cloud graphics.
  • Event-Driven UI Rendering - Provides event-driven UI rendering by triggering callbacks as each word is positioned in real time.
  • Chart Visual Style Customizations - Allows adjustment of typography, color palettes, and orientations to modify the visual style.
  • Data Visualization - Word cloud generation library.
  • Game Engines - Word cloud generation library.
  • General Purpose - Word cloud generation library.
3,944 stars·1,060 forks·JavaScript·BSD-3-Clause·51 views

Star history

Star history chart for jasondavies/d3-cloudStar history chart for jasondavies/d3-cloud

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 jasondavies/d3-cloud do?

d3-cloud is a JavaScript library for creating non-overlapping word cloud layouts using the D3.js data visualization framework. It serves as a text visualization tool that converts raw text or CSV data into scalable vector graphics and stylized typographic clouds.

What are the main features of jasondavies/d3-cloud?

The main features of jasondavies/d3-cloud are: Spiral-Based Search, Word Cloud Generators, Frequency Scaling Utilities, Pixel-Grid Occupancy Mapping, Custom Text Rendering, SVG-Based Vector Rendering, SVG Data Visualization, Text Visualization Tools.

Which projects share features with jasondavies/d3-cloud?

Projects with overlapping indexed features include: apache/echarts — Apache ECharts is a JavaScript data visualization library used for rendering interactive charts and complex data… morrisjs/morris.js — morris.js is a JavaScript data visualization library and SVG charting framework. It is designed to render time-series… f5/unovis — Unovis is a modular SVG and Canvas data visualization library used to build interactive charts, maps, and network… amueller/word_cloud — Word Cloud is a Python library designed to transform raw text data into graphical visualizations. It functions as a… benpickles/peity — Peity is a lightweight SVG data visualization library that transforms numeric text content and HTML attributes into… frappe/charts — This project is a client-side data visualization framework and SVG charting library used to render responsive,…

Projects sharing features with D3 Cloud

These projects share indexed features with D3 Cloud. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • apache/echartsapache avatar

    apache/echarts

    66,629View on GitHub↗

    Apache ECharts is a JavaScript data visualization library used for rendering interactive charts and complex data visualizations in web browsers. It functions as a canvas-based charting engine and a statistical data visualization suite that transforms datasets into visual representations. The framework provides specialized capabilities for three-dimensional data visualization, including the generation of 3D plots and globe visualizations. It also serves as a web-based geographic mapping tool for overlaying heatmaps, routes, and data distributions onto interactive maps. The library covers a br

    TypeScriptapachecanvascharting-library
    View on GitHub↗66,629
  • 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

    CoffeeScript
    View on GitHub↗6,882
  • f5/unovisf5 avatar

    f5/unovis

    2,730View on GitHub↗

    Unovis is a modular SVG and Canvas data visualization library used to build interactive charts, maps, and network graphs. It provides a framework-agnostic set of primitives for creating data dashboards and specialized visualizations. The library is distinguished by its dedicated toolkits for different visualization domains, including an XY charting library for coordinated plots, a network graph framework for relational data, and a geospatial visualization toolkit for TopoJSON-based mapping. Its capability surface covers a wide range of data representations, including linear, area, and bar ch

    TypeScriptangularchartsdata-visualization
    View on GitHub↗2,730
  • amueller/word_cloudamueller avatar

    amueller/word_cloud

    10,518View on GitHub↗

    Word Cloud is a Python library designed to transform raw text data into graphical visualizations. It functions as a text analysis tool that processes natural language input to identify recurring keywords and summarize thematic content through visual representations. The library distinguishes itself by its ability to generate word clouds that conform to custom image silhouettes. By utilizing raster-based masking and greedy collision detection, it maps word frequency to font size while ensuring that text is placed within specific, user-defined shapes. The tool handles the entire pipeline of te

    Python
    View on GitHub↗10,518
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