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Back to f5/unovis

Open-source alternatives to Unovis

30 open-source projects similar to f5/unovis, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Unovis alternative.

  • uber/react-visAvatar von uber

    uber/react-vis

    8,781Auf GitHub ansehen↗

    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

    JavaScriptchartcharting-librarydata-visualization
    Auf GitHub ansehen↗8,781
  • britecharts/britechartsAvatar von britecharts

    britecharts/britecharts

    3,723Auf GitHub ansehen↗

    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

    JavaScript
    Auf GitHub ansehen↗3,723
  • has2k1/plotnineAvatar von has2k1

    has2k1/plotnine

    4,598Auf GitHub ansehen↗

    Plotnine is a data visualization library for Python based on the Grammar of Graphics. It serves as a declarative statistical plotting framework and multi-panel plotting engine, allowing users to create complex charts by mapping data variables to visual properties such as position, color, and size. The project is distinguished by its use of a layered composition model and a statistical transformation engine that performs aggregations and computations before rendering visuals. It features a comprehensive system for multi-panel faceting, which enables the splitting of a single visualization into

    Pythondata-analysisgrammargraphics
    Auf GitHub ansehen↗4,598

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  • makieorg/makie.jlAvatar von MakieOrg

    MakieOrg/Makie.jl

    2,778Auf GitHub ansehen↗

    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

    Juliagpugraphicsjulia
    Auf GitHub ansehen↗2,778
  • visjs/visAvatar von visjs

    visjs/vis

    7,812Auf GitHub ansehen↗

    vis is a JavaScript data visualization library used to render interactive networks, timelines, and graphs directly in the web browser. It functions as a relational data mapper and browser-based charting tool, turning complex structured data into dynamic visual patterns to expose entity relationships. The library provides specialized tools for force-directed network graphs, where relational data is represented as interactive nodes and edges. It also includes an interactive timeline component for plotting chronological events and time intervals on a scalable temporal axis. The project covers b

    JavaScript
    Auf GitHub ansehen↗7,812
  • jwilber/roughvizAvatar von jwilber

    jwilber/roughViz

    7,113Auf GitHub ansehen↗

    roughViz is a JavaScript data visualization library used to create charts with a hand-drawn, sketchy aesthetic. It functions as an SVG charting framework that renders visualizations in the browser, prioritizing the communication of general trends and patterns over absolute precision. The library provides a collection of tools to generate several chart types, including bar, line, pie, donut, and scatter plots, as well as stacked bar charts. These visualizations are produced using a non-linear drawing style to present technical information in an informal, organic appearance.

    JavaScriptcharting-libraryd3v5dashboard
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  • naver/billboard.jsAvatar von naver

    naver/billboard.js

    5,980Auf GitHub ansehen↗

    billboard.js is a JavaScript charting library built on D3.js that renders interactive data visualizations from a single declarative configuration object. It supports a wide range of chart types including bar, line, pie, scatter, area, spline, step, candlestick, funnel, gauge, heatmap, radar, polar, treemap, bubble, donut, and sparkline charts, and can overlay multiple chart types within a single visualization. The library offers an opt-in Canvas rendering mode for improved performance with large datasets and high-density axis displays, alongside its standard SVG-based rendering. The library d

    TypeScript
    Auf GitHub ansehen↗5,980
  • swimlane/ngx-chartsAvatar von swimlane

    swimlane/ngx-charts

    4,359Auf GitHub ansehen↗

    ngx-charts is an Angular charting library and SVG data visualization framework. It provides a set of declarative UI components for rendering animated and interactive charts and graphs within Angular applications. The library allows for the assembly of specialized visualizations by combining low-level internal charting components. It supports the creation of custom charts through the use of mathematical scales, shape generators, and CSS styling overrides. The framework covers a wide range of visualization types, including comparison charts such as bar and line graphs, distribution visualizati

    TypeScript
    Auf GitHub ansehen↗4,359
  • vega/vega-liteAvatar von vega

    vega/vega-lite

    5,216Auf GitHub ansehen↗

    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

    TypeScriptchartsdeclarative-languageplot
    Auf GitHub ansehen↗5,216
  • apexcharts/apexcharts.jsAvatar von apexcharts

    apexcharts/apexcharts.js

    15,096Auf GitHub ansehen↗

    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

    JavaScriptchartsdata-visualizationgraphs
    Auf GitHub ansehen↗15,096
  • highcharts/highchartsAvatar von highcharts

    highcharts/highcharts

    12,463Auf GitHub ansehen↗

    Highcharts is a JavaScript charting library and interactive data visualization framework used to render complex datasets as visual charts and maps. It functions as a customizable SVG charting engine that produces scalable vector graphics for data series. The library allows for the creation of interactive data visualizations with configurable colors, labels, and themes. It also provides a cross-platform visualization wrapper to embed these web-based charts into native iOS and Android mobile applications. The toolkit supports the development of custom dashboards and provides options to build c

    TypeScript
    Auf GitHub ansehen↗12,463
  • nhnent/tui.chartAvatar von nhnent

    nhnent/tui.chart

    5,403Auf GitHub ansehen↗

    tui.chart is a statistical charting engine and data visualization library designed to render interactive charts and graphs for complex numerical datasets. It functions as a responsive charting framework capable of producing various statistical representations, including line, bar, scatter, bubble, and treemap charts. The library distinguishes itself through an interactive visualization system that supports synchronized tooltips across multiple charts, range-based zooming, and data series selection. It includes a layout engine that automatically adjusts chart dimensions and animations based on

    TypeScript
    Auf GitHub ansehen↗5,403
  • dc-js/dc.jsAvatar von dc-js

    dc-js/dc.js

    7,431Auf GitHub ansehen↗

    dc.js is a multi-dimensional analysis tool and visualization framework used to build interactive data dashboards. It functions as a charting library that renders diverse SVG visualizations powered by D3 and integrates natively with Crossfilter to enable coordinated filtering across large datasets. The project is distinguished by its linked-view coordination, where selecting a data range or category in one chart simultaneously updates all other connected views. This allows for dynamic data exploration through dimensional chart linking and coordinated brushing, transforming raw datasets into na

    JavaScript
    Auf GitHub ansehen↗7,431
  • bqplot/bqplotAvatar von bqplot

    bqplot/bqplot

    3,693Auf GitHub ansehen↗

    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

    TypeScriptipythonjupytervisualizations
    Auf GitHub ansehen↗3,693
  • apache/echartsAvatar von apache

    apache/echarts

    66,629Auf GitHub ansehen↗

    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
    Auf GitHub ansehen↗66,629
  • maplibre/maplibre-gl-jsAvatar von maplibre

    maplibre/maplibre-gl-js

    9,931Auf GitHub ansehen↗

    Maplibre GL JS is a WebGL map rendering engine and vector tile map library used to create interactive web maps. It serves as a web-based GIS visualization tool and an interactive map interface framework for rendering geographic data and vector tiles on web pages. The library provides capabilities for 3D terrain rendering and the integration of custom 3D content. It supports complex geospatial data visualization through the use of heatmaps, clusters, and 3D extrusions, while allowing for custom map styling and environmental effect customization. The system covers a broad range of functional a

    TypeScripthacktoberfestmaplibremaplibre-gl
    Auf GitHub ansehen↗9,931
  • alandefreitas/matplotplusplusAvatar von alandefreitas

    alandefreitas/matplotplusplus

    4,894Auf GitHub ansehen↗

    This C++ data visualization library is a scientific plotting framework used to create 2D and 3D charts, network graphs, and geographic maps. It operates as a multi-backend graphics library, decoupling high-level plotting logic from low-level rendering engines to support various output backends. The project distinguishes itself with a dual-interface API, providing both a global functional interface for rapid prototyping and an object-oriented interface for precise control. It features a component-based layout engine for managing tiled grids and subplots, alongside a layered plot state that all

    C++charting-librarychartscontour-plots
    Auf GitHub ansehen↗4,894
  • lukilabs/beautiful-mermaidAvatar von lukilabs

    lukilabs/beautiful-mermaid

    7,187Auf GitHub ansehen↗

    This project is a renderer and theme engine for Mermaid.js that converts diagram syntax into styled SVG graphics and ASCII text. It provides a type-safe diagram editor and a pipeline for transforming diagram source code into scalable vector graphics or plain text visuals. The system features a dedicated theme engine that maps editor colors and CSS variables to diagram elements. It enables dynamic diagram theming through CSS custom properties for real-time color updates and supports index-based styling to override the appearance of specific nodes and edges. The tool covers a range of visualiz

    TypeScript
    Auf GitHub ansehen↗7,187
  • c3js/c3Avatar von c3js

    c3js/c3

    9,345Auf GitHub ansehen↗

    c3 is a charting library for creating reusable data visualizations and interactive charts based on the D3 JavaScript framework. It functions as a declarative visualization framework that generates complex charts through high-level configurations rather than manual SVG manipulation. The project provides a reusable chart component library and a tool for converting raw datasets into scalable vector graphics. These capabilities allow for the implementation of interactive data visualizations and web-based data reporting using standardized templates. The library supports the development of custom

    JavaScript
    Auf GitHub ansehen↗9,345
  • chartscss/charts.cssAvatar von ChartsCSS

    ChartsCSS/charts.css

    6,569Auf GitHub ansehen↗

    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

    HTMLchartchartscss
    Auf GitHub ansehen↗6,569
  • cambecc/earthAvatar von cambecc

    cambecc/earth

    6,552Auf GitHub ansehen↗

    Earth is an interactive web-based platform for visualizing global weather, ocean, and atmospheric data. It animates particle flows representing wind, ocean currents, and waves on a customizable map, and supports overlaying color-coded meteorological, oceanographic, chemical, and particulate data for detailed analysis. The platform distinguishes itself by offering multiple cartographic projections—including orthographic, equirectangular, and stereographic—that can be switched to view global patterns from different perspectives. It also provides keyboard-driven navigation, allowing map rotation

    JavaScript
    Auf GitHub ansehen↗6,552
  • vasturiano/force-graphAvatar von vasturiano

    vasturiano/force-graph

    2,051Auf GitHub ansehen↗

    This project is a high-performance library for rendering interactive, force-directed network visualizations within an HTML5 canvas. It provides a physics-based engine that calculates node positioning through simulated attraction and repulsion forces, enabling the representation of complex relational data structures as dynamic, navigable graphs. The library distinguishes itself through its ability to handle large-scale datasets containing thousands of nodes and links while maintaining interface responsiveness. It offers granular control over the visual representation of data, allowing for cust

    JavaScriptcanvasd3jsforce
    Auf GitHub ansehen↗2,051
  • epochjs/epochAvatar von epochjs

    epochjs/epoch

    4,950Auf GitHub ansehen↗

    Epoch is a CSS-stylable charting engine and visualization library designed for real-time and statistical data. It functions as a timeseries charting tool that renders historical and live data using a hybrid of SVG and HTML5 Canvas graphics to maintain performance during frequent updates. The library distinguishes itself through a unified CSS querying system that applies styles to both vector and raster plot elements. This allows for visual theme resolution via CSS classes and the ability to customize the appearance of specific data series using stylesheets. The toolset covers a broad range o

    HTML
    Auf GitHub ansehen↗4,950
  • maptalks/maptalks.jsAvatar von maptalks

    maptalks/maptalks.js

    4,519Auf GitHub ansehen↗

    maptalks.js is a JavaScript map rendering library and web map interaction framework used to render interactive 2D and 3D geographic data on a web canvas. It functions as a 3D geospatial engine supporting 3DTiles and GLTF formats, a GeoJSON visualization tool, and a spatial analysis library. The project distinguishes itself through high-performance rendering and dynamic geospatial animation, including the ability to simulate traffic flow and execute smooth visual transitions for map elements. It provides comprehensive tools for interactive geometry editing, allowing users to draw and modify ve

    HTML
    Auf GitHub ansehen↗4,519
  • keplergl/kepler.glAvatar von keplergl

    keplergl/kepler.gl

    11,871Auf GitHub ansehen↗

    Kepler.gl is a web-based geospatial visualization framework designed for rendering large-scale location datasets. It functions as a modular React mapping component that enables developers to embed interactive, high-performance geographic visualizations into web applications, serving as a comprehensive engine for building browser-based GIS dashboards. The library distinguishes itself through a highly extensible architecture that centers on centralized state management. By utilizing a predictable state-driven model, it allows for the programmatic control of map layers, filters, and viewport set

    TypeScriptdata-visualizationgeospatialkepler
    Auf GitHub ansehen↗11,871
  • alibaba/butterflyAvatar von alibaba

    alibaba/butterfly

    4,649Auf GitHub ansehen↗

    Butterfly is an interactive graph visualization library and SVG-based diagramming engine used to build node-based workflow designers and visual flow editors. It provides a framework for rendering interconnected nodes, edges, and groups to model technical architectures, business processes, and data-driven workflows. The project is distinguished by its ability to integrate custom UI components as graph nodes and its specialized support for data lineage visualization. It enables the mapping of relationships between data fields, tables, and business entities to track provenance and monitor workfl

    JavaScript
    Auf GitHub ansehen↗4,649
  • tagspaces/tagspacesAvatar von tagspaces

    tagspaces/tagspaces

    4,935Auf GitHub ansehen↗

    TagSpaces is an offline-first file tagging and organization platform that lets you manage local files with portable metadata stored directly in filenames or sidecar JSON files, eliminating the need for a central database. It functions as a full-text file search engine, a Kanban board file organizer, a local AI file assistant, an S3-compatible cloud file manager, and a web clipper and bookmark manager, all within a single application. The project distinguishes itself through a local-first architecture where all file operations, indexing, and AI processing run entirely on the device, with cloud

    TypeScriptelectronjavascriptnote-taking
    Auf GitHub ansehen↗4,935
  • rougier/scientific-visualization-bookAvatar von rougier

    rougier/scientific-visualization-book

    11,337Auf GitHub ansehen↗

    This project is a scientific visualization guide and data visualization framework designed for creating high-quality 2D and 3D figures for academic journals and scientific publishing. It provides a structured approach to designing precise layouts, coordinate systems, and typography for complex scientific data. The project features a specialized print-ready PDF workflow and a CMYK print production workflow. These systems translate digital RGB colors into printer-specific CMYK profiles to ensure visual accuracy for physical hardcover and softcover printing. It also serves as a guide for SVG dat

    Python
    Auf GitHub ansehen↗11,337
  • metricsgraphics/metrics-graphicsAvatar von metricsgraphics

    metricsgraphics/metrics-graphics

    7,403Auf GitHub ansehen↗

    This project is an SVG data visualization library and charting engine designed to render quantitative metrics and time-series data within a web browser. It provides a framework for creating concise visual representations of numerical data sets, such as line charts, scatterplots, and histograms. The library utilizes a component-based layout framework to organize visual elements into hierarchical structures with automated spacing and positioning. It includes a coordinate-space mapping tool that translates raw data values into pixel coordinates using linear scales and axis transformations. The

    TypeScript
    Auf GitHub ansehen↗7,403
  • timqian/chart.xkcdAvatar von timqian

    timqian/chart.xkcd

    7,838Auf GitHub ansehen↗

    chart.xkcd is a client-side JavaScript library used to generate data visualizations as scalable vector graphics directly in the browser. It functions as a graphing utility that manipulates DOM elements to produce various chart types without requiring server-side dependencies. The library is distinguished by a rendering engine that applies randomized stroke offsets and variable line weights to SVG paths. This process simulates a sketchy, hand-drawn aesthetic for data charts, creating a comic-like visual style. The project supports a variety of visualization formats, including bar, line, circu

    JavaScriptchartgraphhand-drawn
    Auf GitHub ansehen↗7,838