17 Repos
Contextual information overlays that appear at specific coordinates to describe individual data points.
Distinct from Data Hinting: Candidates focus on networking or 3D point clouds; none cover the 2D chart tooltip pattern.
Explore 17 awesome GitHub repositories matching user interface & experience · Data Point Tooltips. Refine with filters or upvote what's useful.
react-vis is a declarative, component-based React data visualization library. It provides a framework of reusable building blocks for rendering interactive charts and graphs by mapping raw data to visual attributes such as position, color, and size. The system leverages D3 for its scaling and layout logic. The library is distinguished by its ability to handle complex data relationships, including hierarchical data via tree maps and circle packing, as well as multidimensional analysis using parallel axes and radar charts. It also supports network flow mapping to illustrate the volume and direc
Shows labels or tooltips at specific coordinates to provide detailed information about data points.
fl_chart ist eine Charting-Bibliothek und ein Toolkit zur Datenvisualisierung für Flutter. Es bietet eine Sammlung anpassbarer Widgets, die verwendet werden, um Datensätze als visuelle Grafiken auf Mobil-, Web- und Desktop-Plattformen darzustellen. Das Framework unterstützt eine Vielzahl von Diagrammtypen, darunter Linien-, Balken-, Kreis-, Streu-, Radar- und Candlestick-Charts. Diese Tools ermöglichen die Erstellung datengesteuerter Dashboards und analytischer Berichte, wie sie beispielsweise zur Verfolgung von Finanzmarkttrends und Preisbewegungen verwendet werden.
Implements contextual information overlays that appear at specific coordinates to describe individual data points during touch interactions.
fl_chart is a data visualization library and UI component framework for Flutter. It provides a system of reusable graphical widgets for creating interactive, customizable quantitative data visualizations. The framework supports a variety of chart types, including line, bar, pie, donut, scatter, radar, and candlestick views. It allows for the creation of complex visualizations such as layered data segments and financial charts. The library includes capabilities for interactivity and visual refinement, such as touch event handling, data tooltips, and state animations. It also provides tools fo
Displays customizable text labels next to individual data points for identification and description.
This is a chart library for rendering interactive data visualizations within WeChat Mini Programs using the Apache ECharts engine. It provides a set of visual components that use 2D canvas interfaces to render line, bar, pie, and scatter plots. The library utilizes a 2D canvas interface to increase drawing speed and resolve visual layering issues. It implements an interactive charting component that supports touch-based data interaction, allowing users to see detailed contextual information through formatted tooltips when tapping or hovering over data points. The project covers mobile data v
Provides formatted tooltips that display detailed contextual information when tapping or hovering over specific data points.
ggplot2 is a data visualization library for R based on a formal grammar of graphics. It provides a declarative plotting framework that allows users to create complex graphics by combining geometric objects, statistical summaries, and coordinate systems. The system is distinguished by a layered approach to composition, where visualizations are built incrementally by stacking independent geometric, statistical, and coordinate layers. It utilizes a hierarchical styling engine to manage non-data elements such as backgrounds, fonts, and margins, and includes a multi-panel faceting tool for splitti
Attaches permanent text-based identifiers to specific data coordinates with automatic overlap prevention.
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
Displays supplementary information in popup boxes when users hover over specific data points.
ScottPlot is a cross-platform, high-performance charting library for .NET that renders interactive plots across desktop and web GUI frameworks including Windows Forms, WPF, MAUI, Avalonia, Blazor, and WinUI. It provides an optimized rendering engine capable of displaying millions of data points with interactive pan, zoom, and live data streaming, while also supporting image export to formats like PNG and SVG for file output, cloud applications, and notebooks. The library distinguishes itself through a comprehensive set of chart types including scatter, line, bar, pie, heatmap, financial, rada
Places tooltip annotations pointing to specific X/Y coordinates with customizable styling.
Flot is an interactive charting library for jQuery that renders line, bar, pie, and time-series plots with zooming and panning. It provides interactive plots for engineering and scientific data with customizable axes, scales, and series styles, and supports real-time data updates. The library is built as a jQuery plugin with a canvas-based rendering pipeline and a plugin extension system that allows third-party code to add new chart types, interactions, and data transformations. The library distinguishes itself through a broad range of specialized chart types, including candlestick, bubble, r
Overlays text labels next to each plotted point to display its exact value.
Places a label at a given x/y coordinate or from a dataset to call attention to individual points on a chart.
Adds text labels, arrows, or markers at specific coordinates to highlight observations in plots.
MUI X is a collection of advanced React UI components for building data-rich applications, including a data grid, charting library, date and time pickers, scheduler, and tree view. The library is built with accessibility as a core principle, ensuring all components meet WCAG and WAI-ARIA standards for keyboard navigation and screen reader announcements. The components are designed for extensibility and performance. The data grid offers comprehensive data management with sorting, filtering, pagination, column pinning, row grouping, inline editing, and Excel export. The charting library support
Displays permanent text labels anchored to specific data coordinates in rendered charts.
tui.chart ist eine JavaScript-Datenvisualisierungsbibliothek und eine Multi-Typ-Charting-Engine, die zum Rendern interaktiver statistischer Diagramme verwendet wird. Sie fungiert als responsives Charting-Framework und Echtzeit-Datenvisualisierer und nutzt HTML5 Canvas für hochperformantes Rendering diverser Datensätze. Die Bibliothek bietet eine breite Palette an visuellen Formaten, einschließlich linearer, zirkulärer, rasterbasierter, hierarchischer und statistischer Diagrammtypen. Dies deckt alles ab, von Standard-Balken-, Linien- und Tortendiagrammen bis hin zu spezialisierteren Visualisierungen wie Radar-Diagrammen, Treemaps, Blasendiagrammen und Box-Plots. Die Engine enthält umfassende Funktionen für Echtzeit-Datenüberwachung mit Live-Updates und die Entwicklung interaktiver Dashboards. Sie unterstützt fortschrittliche Interaktionsmodelle wie Zoomen, Reihenauswahl und synchronisierte Tooltips über mehrere Diagramme hinweg, während sie Datenexport-Dienstprogramme für CSV-, XLS-, PNG- und JPEG-Formate bietet. Das Framework verwaltet adaptive Layouts durch einen Resize-Observer, der Diagrammoptionen und Animationen automatisch basierend auf Container-Dimensionen anpasst.
Displays contextual information overlays when users hover over specific data points in the chart.
tui.chart ist eine statistische Charting-Engine und Datenvisualisierungsbibliothek, die darauf ausgelegt ist, interaktive Diagramme und Grafiken für komplexe numerische Datensätze zu rendern. Es fungiert als responsives Charting-Framework, das verschiedene statistische Darstellungen produzieren kann, einschließlich Linien-, Balken-, Streu-, Blasen- und Treemap-Diagrammen. Die Bibliothek zeichnet sich durch ein interaktives Visualisierungssystem aus, das synchronisierte Tooltips über mehrere Diagramme hinweg, bereichsbasiertes Zoomen und die Auswahl von Datenreihen unterstützt. Sie enthält eine Layout-Engine, die Diagrammdimensionen und Animationen automatisch basierend auf der Größe des Anzeigecontainers anpasst. Das System deckt ein breites Spektrum an Rendering-Funktionen ab, einschließlich hierarchischem Daten-Mapping mittels Treemaps, farbcodierten Heatmaps und der Fähigkeit, Echtzeit-Daten-Updates für Live-Monitoring zu verarbeiten. Zusätzliche Bereiche umfassen Datenexport-Funktionalität und dynamische Konfigurations-Updates zur Modifikation des Erscheinungsbildes aktiver Visualisierungen.
Implements custom data tooltips that use templates and formatters to describe individual data points.
Vega-Lite is a high-level declarative language for specifying interactive, multi-view visualizations. It compiles a concise JSON specification into a full Vega visualization, automatically inferring scales, axes, and legends from encoding declarations. The grammar-of-graphics encoding maps data fields to visual channels such as position, color, size, and shape, while a multi-view composition grammar enables layered, faceted, concatenated, and repeated layouts. Reactive parameter binding links named parameters to input widgets, selections, and expressions for dynamic updates. The project suppo
Vega-Lite generates tooltips on hover for data points, either automatically from the encoding or via explicit specification.
XlsxWriter is a library for generating spreadsheets in the XLSX format, functioning as an Excel workbook writer and file generator. It provides the capability to write data, apply cell formatting, and build complex layouts across multiple worksheets. The project distinguishes itself with a memory-optimized writing mode that flushes large datasets to disk row-by-row, enabling the creation of files exceeding 4 GB while minimizing RAM consumption. It also includes a specialized mechanism for embedding binary project files and digital signatures to enable VBA macros and signed scripts within work
Allows assigning specific text or cell references as labels for individual data points in a chart.
Makie.jl is a high-performance Julia data visualization library and hardware-accelerated plotting engine used to create interactive 2D and 3D visualizations. It functions as a reactive visualization framework where plots update automatically via observables and compute graphs, and as a vector graphics generator for high-resolution academic output. The system is distinguished by its backend-agnostic rendering pipeline, which supports OpenGL, WebGL, and ray-traced scenes. It employs a grammar-of-graphics approach to map variables to aesthetic attributes and utilizes a hierarchical scene graph t
Displays floating tooltips with detailed information when hovering over specific data points in a plot.
Dieses Projekt bietet eine Sammlung wiederverwendbarer UI-Komponenten zum Rendern interaktiver, datengesteuerter Diagramme innerhalb von Webanwendungen. Es fungiert als Brücke zwischen der komponentenbasierten Architektur des Frameworks und Low-Level-Grafikbibliotheken, was es Entwicklern ermöglicht, komplexe Visualisierungslogik in Standardelemente zu kapseln. Die Bibliothek zeichnet sich durch die Integration von reaktivem Data-Binding und Lebenszyklusmanagement direkt in den Diagrammprozess aus. Dies stellt sicher, dass visuelle Darstellungen, wie Balken-, Linien- und Tortendiagramme, automatisch mit den zugrunde liegenden Datenmodellen synchronisieren und ihre Dimensionen als Reaktion auf Änderungen im übergeordneten Container anpassen. Das Framework unterstützt eine breite Palette interaktiver Funktionen, einschließlich animierter Zustandsübergänge, ereignisdelegierter Benutzereingaben und kontextbezogener Informations-Overlays. Benutzer können die visuelle Ausgabe durch umfangreiche Konfigurationsoptionen für Legenden, Achsenbeschriftungen, Farbpaletten und Tooltip-Präsentation weiter anpassen.
Displays interactive labels with specific data point details upon hover to provide deeper insight.