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7 dépôts

Awesome GitHub RepositoriesVisualization Layout Configurations

Settings for adjusting the visual dimensions, styles, and orientation of generated performance graphs.

Distinct from Interface Layout Customization: Distinct from Interface Layout Customization: focuses on graph-specific rendering parameters rather than general UI structure.

Explore 7 awesome GitHub repositories matching user interface & experience · Visualization Layout Configurations. Refine with filters or upvote what's useful.

Awesome Visualization Layout Configurations GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • brendangregg/flamegraphAvatar de brendangregg

    brendangregg/FlameGraph

    19,307Voir sur GitHub↗

    FlameGraph is a performance profiling and visualization toolkit designed to identify bottlenecks in software execution. It functions as a processing engine that transforms raw stack trace samples into interactive, hierarchical diagrams. By representing aggregated execution frequency as nested rectangles, the tool allows developers to visualize hot code paths and analyze system behavior across both kernel and user-space environments. The project distinguishes itself through its ability to perform differential profile analysis, which highlights performance regressions or improvements by compari

    Allows modification of graph dimensions, font styles, and color palettes to improve readability.

    Perl
    Voir sur GitHub↗19,307
  • kanaries/pygwalkerAvatar de Kanaries

    Kanaries/pygwalker

    15,628Voir sur GitHub↗

    Pygwalker is a library that transforms tabular data into interactive, drag-and-drop interfaces for exploratory analysis and visualization. It functions as a grammar-based framework that translates user interactions into declarative chart definitions, allowing for the creation of dynamic data exploration environments directly within notebooks or embedded web applications. The system distinguishes itself by offloading heavy analytical computations to backend kernels, which maintains responsiveness when visualizing large datasets. It supports the serialization of visual states into portable conf

    Manages the saving and restoring of chart layouts and visual settings to ensure consistency across projects.

    Pythondata-analysisdata-explorationdataframe
    Voir sur GitHub↗15,628
  • apexcharts/apexcharts.jsAvatar de apexcharts

    apexcharts/apexcharts.js

    15,096Voir sur GitHub↗

    ApexCharts is a comprehensive JavaScript charting library designed for building interactive, responsive, and data-driven visualizations within web applications. It functions as a versatile data visualization framework that supports a wide range of chart types, including categorical, statistical, and financial plots, enabling developers to construct complex dashboards and real-time monitoring interfaces. The library distinguishes itself through a deep commitment to accessibility and high-performance interactivity. It provides built-in support for keyboard navigation, screen readers, and high-c

    Automatically adjusts chart dimensions and layout configurations to ensure optimal display across various screen sizes and device viewports.

    JavaScriptchartsdata-visualizationgraphs
    Voir sur GitHub↗15,096
  • plantuml/plantumlAvatar de plantuml

    plantuml/plantuml

    13,093Voir sur GitHub↗

    PlantUML is a text-to-diagram generator that translates human-readable markup into structured graphical representations. It functions as a diagram-as-code tool, allowing users to create and maintain technical documentation, architectural models, and flowcharts by decoupling diagram content from visual layout. The project distinguishes itself through a comprehensive rendering pipeline that processes domain-specific markup into various output formats, including vector and raster graphics. It utilizes a graph-based layout engine to calculate spatial positioning, while a declarative styling layer

    Diagram layout configuration adjusts the orientation and visual presentation of diagrams to improve readability and manage complex entity relationships.

    Javadiagramdiagram-as-codediagrams
    Voir sur GitHub↗13,093
  • wanglin2/mind-mapAvatar de wanglin2

    wanglin2/mind-map

    12,363Voir sur GitHub↗

    This project is a comprehensive diagramming ecosystem that functions as both a standalone cross-platform desktop application and a modular JavaScript library for web-based mind mapping. It provides a visual workspace for structuring hierarchical information, allowing users to create, organize, and manipulate complex node trees through an interactive canvas interface. The platform distinguishes itself through deep integration with artificial intelligence, enabling users to automatically generate, expand, and refine diagram content directly within their workspace. It supports real-time collabor

    Supports flexible node arrangement and layout configurations to improve information clarity in diagrams.

    JavaScriptgraphjsmindmind-map
    Voir sur GitHub↗12,363
  • px4/px4-autopilotAvatar de PX4

    PX4/PX4-Autopilot

    11,962Voir sur GitHub↗

    PX4-Autopilot is a professional-grade flight control software stack designed for autonomous unmanned vehicles, including multicopters, fixed-wing aircraft, and vertical takeoff and landing platforms. It operates as a modular, real-time framework that decouples flight control logic from hardware drivers through a publish-subscribe middleware architecture. The system utilizes a deterministic microkernel runtime to execute time-critical flight control loops and sensor fusion tasks, ensuring stable navigation and vehicle operation. The platform distinguishes itself through a parameter-driven conf

    Imports predefined configuration templates to quickly set up consistent visualization environments for specific vehicle types or tuning tasks.

    C++autonomousautopilotavoidance
    Voir sur GitHub↗11,962
  • chartscss/charts.cssAvatar de ChartsCSS

    ChartsCSS/charts.css

    6,569Voir sur GitHub↗

    charts.css is a CSS-driven framework designed to transform semantic HTML into accessible data visualizations without relying on JavaScript. It functions as a charting library that uses standard HTML structures, such as tables and lists, to render graphs while maintaining full compatibility with screen readers. The project distinguishes itself by using CSS variables to map numeric data to visual dimensions and utility classes to control chart types and layouts. It supports a wide range of visual styles, including 3D effects, reflection effects, and customized color palettes integrated via a br

    Provides configurations for adjusting the visual dimensions, positioning, and orientation of generated graphs.

    HTMLchartchartscss
    Voir sur GitHub↗6,569
  1. Home
  2. User Interface & Experience
  3. Interface Layout Customization
  4. Visualization Layout Configurations

Explorer les sous-tags

  • Orientation ControlsParameters for adjusting the directional flow and spatial orientation of generated diagrams. **Distinct from Visualization Layout Configurations:** Distinct from Visualization Layout Configurations: focuses on diagram-specific orientation settings rather than general graph rendering parameters.
  • Telemetry Visualization TemplatesPredefined configuration templates for consistent visualization of flight telemetry and tuning data. **Distinct from Visualization Layout Configurations:** Distinct from Visualization Layout Configurations: focuses on reusable templates for flight data analysis rather than general graph rendering parameters.