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6 repositorios

Awesome GitHub RepositoriesInteractive Chart Overlays

D3-based interactive layers including synced crosshairs and brush selectors for real-time data filtering.

Distinct from Interactive Data Charting: Distinct from Interactive Data Charting: specifically focuses on the overlay layer for interaction rather than the chart rendering itself.

Explore 6 awesome GitHub repositories matching data & databases · Interactive Chart Overlays. Refine with filters or upvote what's useful.

Awesome Interactive Chart Overlays GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • jeecgboot/jimureportAvatar de jeecgboot

    jeecgboot/jimureport

    8,059Ver en GitHub↗

    JimuReport is an open-source reporting and dashboard engine designed to be embedded directly into Spring Boot applications. Its core identity centers on generating data reports and full-screen dashboards from natural language descriptions, eliminating the need for manual design. The platform also provides a conversational query interface that translates plain-language questions into database queries, returning results as tables and charts without requiring SQL knowledge. What distinguishes JimuReport is its integration of AI skills that can be installed with a single command, enabling report

    Updates a chart or table on the same page when a user clicks a row or chart element, creating a cascading filter chain.

    Javaaibibigscreen
    Ver en GitHub↗8,059
  • britecharts/britechartsAvatar de britecharts

    britecharts/britecharts

    3,723Ver en GitHub↗

    Britecharts is an SVG data visualization toolkit and D3.js charting library. It functions as a composable visualization framework and interactive charting interface used to render data-driven graphics. The library provides a variety of chart types, including line, bar, scatter, donut, sparkline, step, and bullet charts, as well as stacked area and grouped bar charts. It supports interactive elements such as brush interfaces for zooming into date ranges and informational tooltips for data overlays. The framework includes capabilities for visual configuration, such as axis scaling, color schem

    Provides informational overlays for line and area charts that display data values and labels on hover.

    JavaScript
    Ver en GitHub↗3,723
  • bqplot/bqplotAvatar de bqplot

    bqplot/bqplot

    3,693Ver en GitHub↗

    bqplot is an interactive data visualization library for IPython and Jupyter notebooks that utilizes a grammar of graphics. It functions as a tool for creating 2D charts and maps with real-time updates and bidirectional communication between the kernel and frontend. The library is distinguished by its ability to act as a geographic data visualization tool, rendering choropleth maps and spatial data via GeoJSON and custom projections. It also serves as a financial charting tool for producing OHLC and candle bar charts, and as an interactive dashboard framework for combining plotting widgets wit

    Displays detailed field information for specific cells when a user hovers over heatmap marks.

    TypeScriptipythonjupytervisualizations
    Ver en GitHub↗3,693
  • bloomberg/bqplotAvatar de bloomberg

    bloomberg/bqplot

    3,693Ver en GitHub↗

    bqplot is an interactive data visualization library for Jupyter notebooks. It implements a grammar of graphics model, allowing users to build complex 2D charts by combining marks, scales, and axes. The library distinguishes itself with specialized toolkits for financial charting, such as OHLC candlesticks and time-series analysis, and geographic data visualization, including choropleths and custom map projections for TopoJSON and GeoJSON data. It enables deep interaction through tools like lasso selection, rectangular brushing, and the ability to manually manipulate plot points or line data.

    Implements data-driven tooltips that reveal specific attribute values when hovering over chart elements.

    TypeScript
    Ver en GitHub↗3,693
  • f5/unovisAvatar de f5

    f5/unovis

    2,730Ver en 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

    Provides interactive overlays including annotations, synced crosshairs, and brush selectors for data filtering.

    TypeScriptangularchartsdata-visualization
    Ver en GitHub↗2,730
  • abhinandan-kushwaha/react-native-gifted-chartsAvatar de Abhinandan-Kushwaha

    Abhinandan-Kushwaha/react-native-gifted-charts

    1,345Ver en GitHub↗

    React Native Gifted Charts is a mobile-first data visualization framework designed for building interactive and animated graphical representations within React Native applications. It functions as a declarative component library that enables developers to render complex datasets through a variety of visual formats, including bar, line, area, pie, and scatter plots. The library distinguishes itself through a native-driven rendering engine that utilizes vector graphics primitives to draw shapes and paths directly on the screen. It supports sophisticated visual configurations such as gradients,

    Displays dynamic pointers or labels that track user interaction to provide detailed information about specific data points.

    TypeScriptarea-chartbarbar-chart
    Ver en GitHub↗1,345
  1. Home
  2. Data & Databases
  3. Interactive Data Charting
  4. Interactive Chart Overlays

Explorar subetiquetas

  • Cascading Chart FiltersCapabilities for updating charts or tables on the same page when a user clicks a row or chart element, creating a cascading filter chain. **Distinct from Interactive Chart Overlays:** Distinct from Interactive Chart Overlays: focuses on cross-component filtering chains rather than overlay interactions on a single chart.
  • Informational TooltipsData-driven overlays that display specific values and labels upon user interaction with chart points. **Distinct from Interactive Chart Overlays:** Distinct from general overlays like crosshairs by focusing specifically on value-displaying tooltips.