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3 repositorios

Awesome GitHub RepositoriesText Visualization Tools

Libraries for transforming textual data into graphical representations.

Distinct from Data & Text Processing: Distinct from general text processing or generative AI; focuses on the visual representation of text frequency.

Explore 3 awesome GitHub repositories matching graphics & multimedia · Text Visualization Tools. Refine with filters or upvote what's useful.

Awesome Text Visualization Tools GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • apache/echartsAvatar de apache

    apache/echarts

    66,629Ver en 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

    Provides specialized capabilities for generating word clouds to visualize text frequency and importance.

    TypeScriptapachecanvascharting-library
    Ver en GitHub↗66,629
  • amueller/word_cloudAvatar de amueller

    amueller/word_cloud

    10,518Ver en 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

    Transforms raw text into graphical representations where word size corresponds to frequency for quick thematic analysis.

    Python
    Ver en GitHub↗10,518
  • jasondavies/d3-cloudAvatar de jasondavies

    jasondavies/d3-cloud

    3,944Ver en GitHub↗

    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

    Transforms textual data into stylized typographic word cloud representations.

    JavaScript
    Ver en GitHub↗3,944
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