Open-source alternatives to Metrics Graphics

Rickshaw is a JavaScript library for building interactive, SVG-based time series charts in the browser. It provides a framework for rendering line, area, bar, and scatterplot visualizations from data series, with built-in support for axes, legends, color palettes, and interactive controls. The library distinguishes itself through a plugin-based architecture that allows renderers to be swapped at runtime, such as switching between stacked area and line chart views while preserving chart state. It includes an event-driven interaction layer for hover details, click behaviors, and drag-based rang

Cubism is a JavaScript time series visualization library and charting engine designed to render temporal data sequences as visual charts. It functions as a real-time dashboard framework that aggregates multiple time series visualizations into a single interface. The library allows for the creation of live dashboards that automatically update as new information arrives from external sources. It specializes in visualizing sequential data points across a shared temporal axis to facilitate synchronized data analysis and the monitoring of trends and patterns. The framework provides capabilities f

This is a grammar of graphics visualization library used to build charts by mapping tabular data to visual marks. It functions as an SVG data visualization tool and an exploratory data analysis API, allowing users to render complex visualizations and geographic maps. The library features a GeoJSON map renderer that projects spherical coordinates into two-dimensional pixel space and an Apache Arrow visualization interface for high-efficiency data processing. Its capability surface covers data transformation through binning and grouping, visual encoding via automatic scale inference and color

nvd3 is a data visualization framework and reusable web graphing library. It provides a collection of interactive charting components built on top of the D3.js library to render complex datasets as graphics within a web browser. The library functions as a wrapper for D3.js, offering predefined chart types and modular templates. This implementation allows for the creation of custom data graphs and web dashboards without requiring the author to write low-level SVG code from scratch. The system utilizes SVG-based vector rendering and attribute-driven styling to generate visualizations. It incor

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

D3 is a modular library providing low-level primitives for creating data-driven visualizations. It functions as a flexible framework that allows for direct control over visual presentation by mapping abstract data dimensions to graphical properties, such as position, color, and size, without imposing predefined chart abstractions. The library distinguishes itself by offering specialized tools for complex data representation, including algorithmic layouts for hierarchical structures and geographic projection utilities for mapping spherical coordinates. It also includes a comprehensive suite fo

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

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

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

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

mini-graph-card is a customizable dashboard card and sensor widget for Home Assistant designed to visualize historical telemetry and sensor data. It functions as a time-series data visualizer that renders historical numeric and binary sensor data as line or bar graphs using an SVG graphing component. The project differentiates itself through the ability to extract specific nested attributes from entities and map non-numeric states into numeric values for visualization. It supports dynamic visual styling via color thresholds, logarithmic scales, and filling effects, alongside a multi-axis coor

This project is a client-side data visualization tool and vector graphics generator that transforms tabular data into customizable SVG graphics. It functions as a browser-based visualization engine that processes datasets locally, ensuring that sensitive information is not transmitted to a server. The platform utilizes a modular layout engine to render diverse chart types, including hierarchical and temporal visualizations. It supports the definition and integration of custom layout extensions to expand the variety of available visualization types. The system provides capabilities for import

cal-heatmap is a JavaScript visualization library used to render time-series data as a grid of colored cells. It functions as a customizable calendar component that maps data density and frequency over temporal intervals ranging from minutes to years. The library provides built-in support for localized temporal displays, allowing for the adjustment of regional date formats, timezones, and locale-specific week starts. It utilizes a plugin system for both the calendar layout and heatmap charts to extend behaviors and visual styles. The system manages data visualization through SVG-based grid r

morris.js is a JavaScript data visualization library and SVG charting framework. It is designed to render time-series line, bar, area, and donut charts to visualize complex datasets and distribution patterns. The library specializes in time-series charting to display temporal trends and track how specific values change over time. It provides tools for statistical data representation, allowing for the comparison of different data sets or the illustration of proportions within a whole. The framework enables the creation of web dashboard analytics by transforming raw data into graphical represe

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

ECharts is a JavaScript data visualization library and web charting framework used to render interactive 2D and 3D data plots within a web browser. It functions as a visualization engine that transforms raw data into customizable charts and graphs. The project includes a WebGL-based hardware acceleration engine specifically for producing three-dimensional plots and globe visualizations. This allows the library to handle large and complex datasets through GPU-accelerated rendering. The framework supports both canvas-based raster rendering and SVG-based vector rendering. It provides capabiliti

Clip is a command-line data visualization tool designed to generate image-based charts and diagrams from text descriptions. It functions as a chart generator that converts written data and descriptive patterns into visual formats without the use of a graphical user interface. The tool specializes in producing scalable vector graphics, translating text-to-chart transformations into XML-based vector paths. This approach allows for the automated creation of technical illustrations and diagrams specifically suited for developer documentation. The system employs a template-driven layout engine to

This project is a client-side library for rendering responsive, animated SVG progress indicators. It functions as a frontend UI component and vector animation library designed to visualize completion status through linear, circular, and radial shapes. The library is distinguished by its support for custom vector path geometries, allowing users to define specific SVG path data to create specialized shapes. It uses a vector-based rendering approach to ensure that indicators remain sharp across different screen resolutions. The tool covers a range of capabilities including both static and anima

Raphael is a JavaScript library for creating, manipulating, and animating scalable vector graphics. It provides a programmatic interface and a cross-browser renderer for drawing 2D vector graphics and complex shapes within a web browser. The project functions as an SVG animation framework and drawing API, allowing for the construction of diagrams, charts, and custom illustrations. It enables the creation of motion graphics through the transformation of vector elements using coordinate systems and easing functions. The library covers capabilities for scalable vector rendering, dynamic data vi

DataV is a big screen visualization framework designed for high-impact data displays. It provides a collection of libraries for both Vue and React to build large-scale data dashboards featuring interactive charts and visual elements. The toolkit includes a specialized decoration kit of scalable vector graphics used to add borders and frames to professional data display screens. It focuses on complex data visualization, including the rendering of specialized charts such as water level and flight line maps. The framework covers a broad capability surface for data dashboard visualization, provi

Datamaps is a library for generating interactive, data-driven geographic visualizations within web applications. It utilizes scalable vector graphics to render maps, allowing for precise styling and responsive resizing across different screen sizes. The library provides a declarative configuration pattern that binds custom datasets to geographic regions. This enables the creation of choropleth maps, where regions are color-coded based on statistical values, and point-based overlays that represent individual data points as interactive bubbles. Beyond basic rendering, the toolset includes capa

Victory is a React data visualization library and composable visualization toolkit used to build interactive charts and graphs. It functions as an SVG charting framework that renders scalable data visualizations designed to maintain consistency across different web browsers and operating systems. The project provides a collection of reusable UI primitives that combine to form complex interactive data layouts. This component-based approach allows for the construction of sophisticated graphs by composing modular visualization elements within React applications.

Hellocharts-android is a data visualization library and charting framework for Android applications. It provides a collection of custom view components used to render datasets as visual elements, such as line, column, and pie charts. The library supports interactive visualizations that allow users to navigate data through touch gestures, including pinching, scrolling, and panning. It also includes built-in capabilities for animating data points and chart elements to create smooth visual transitions during dataset updates. The framework covers a broad range of visualization needs, including c

PNChart is an iOS charting framework and data visualization library designed for rendering interactive visual data representations within native Apple mobile environments. It provides a toolkit for creating animated line and pie charts to illustrate data trends and proportional datasets. The library specializes in animated data representation, using motion effects and transitions to highlight information changes over time. It supports real-time chart data updates, allowing visualizations to reflect new information dynamically without rebuilding the entire user interface. The framework covers

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

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

Mermaid is a text-to-diagram rendering engine that transforms markdown-inspired text definitions into visual flowcharts, sequence diagrams, and Gantt charts. It functions as a markdown-based diagramming tool designed to keep technical documentation synchronized with development by defining visuals as plain text. The engine utilizes a sandboxed rendering process, executing diagram generation inside isolated frames to prevent malicious scripts embedded in user text from executing in the browser. The system handles client-side text transformation and domain-specific language parsing to map text