Open-source alternatives to C3js C3

Plotly.js is a JavaScript charting library and interactive graphing framework used to create web-based visualizations. It functions as a high-performance data visualization engine that utilizes both SVG for static elements and WebGL for hardware-accelerated rendering of large datasets and complex 3D plots. The library is distinguished by specialized toolkits for financial analysis, such as candlestick and OHLC charts, and geographic mapping tools for rendering choropleth and scatter maps with custom projections. It also supports complex scientific visualizations, including Sankey diagrams, pa

This project is a client-side data visualization framework and SVG charting library used to render responsive, interactive charts in a web browser. It functions as a lightweight utility for generating scalable vector graphics and data annotations without external dependencies. The library enables the creation of custom SVG charts with adjustable colors and animations to meet specific design requirements. It supports dynamic data updates and the addition of markers, regions, and tooltips to provide context to specific data points. The system covers broad capability areas including responsive

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

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

Evilcharts is a data visualization library and animated charting framework designed to render interactive data graphics. It functions as a responsive data graphics engine that transforms raw data sets into visual formats such as bars, lines, and pies. The project focuses on interactive data visualization by incorporating motion triggers and visual transitions. It provides tools for custom chart styling to align visual effects and colors with specific brand guidelines and design requirements. The engine manages responsive data dashboards through automatic layout scaling to maintain consistenc

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

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

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

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

Vega is a reactive visualization engine that translates structured specifications into interactive, browser-based graphical representations. It functions as a declarative grammar for data visualization, allowing users to define complex charts and maps through a JSON-based configuration format rather than imperative code. The system operates on a dataflow-based reactive graph that automatically propagates updates through the visualization whenever input data or user interactions change. By integrating a modular transformation pipeline, the engine handles data filtering, sorting, and aggregatio

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

d2-admin is an admin dashboard framework used to build back-office management interfaces. It provides a set of pre-configured layouts and themeable components, including foldable sidebars and draggable grid systems, to facilitate system oversight and control. The framework is distinguished by its multi-tab administration interface, which allows users to switch between pages and reorder tabs via drag and drop. It also features a dynamic translation system for multi-language interface localization and a dedicated toolset for tabular data management, enabling the import and export of data via CS

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

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

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

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

ChartGPU is a high-performance visualization library designed to render large-scale datasets and real-time data streams using hardware acceleration. It functions as a component-based tool that integrates into declarative user interfaces, allowing developers to build responsive, themeable charts that maintain smooth interaction even when processing massive amounts of information. The library distinguishes itself through a specialized rendering engine that employs screen-space binning and zoom-aware data resampling to manage dense datasets. It provides advanced interactive capabilities, includi

This project is a collection of responsive CSS Grid dashboard templates and a data visualization UI kit. It provides a set of HTML layouts designed for building analytics interfaces and monitoring views for KPIs and business metrics that adapt to different screen sizes. The toolkit is library-agnostic, allowing the connection of static HTML templates to any external data source or third-party charting library without requiring custom adapter code. It uses a template-driven approach to separate the visual structure of the dashboard from the underlying data. The capabilities cover the assembly

vue-echarts is a data visualization library and a reactive wrapper for Apache ECharts, designed to integrate complex charts and graphics into Vue.js applications using a declarative, component-based approach. It functions as an interface that synchronizes charting engine instances with reactive state. The project provides a declarative graphics interface for building custom chart overlays, shapes, and text elements using a component-based slot architecture. It distinguishes itself by allowing the injection of custom components into chart elements, such as tooltips, via scoped slots rather tha

Angular-chart.js is a frontend charting library that provides a set of reusable directives for integrating the Chart.js visualization engine into AngularJS applications. It functions as a wrapper that encapsulates complex rendering logic within declarative components, enabling the creation of interactive and responsive graphical data representations. The library distinguishes itself by providing reactive data synchronization, which automatically triggers canvas re-renders whenever underlying data or configuration models change. It also utilizes a provider-based configuration system, allowing

MPAndroidChart is an Android charting library and data visualization framework that provides a set of reusable view components for rendering statistical data. It enables the display of numerical datasets through various chart types, including line, bar, pie, radar, bubble, and candlestick charts. The library focuses on an interactive graphing workflow, allowing users to explore complex data sets through scaling, panning, and animations. It includes specific support for financial charting to track market trends and price movements, as well as tools for building mobile dashboards.

Charts is a mobile data visualization library designed for rendering interactive graphical representations of complex datasets. It provides a declarative configuration interface that maps data structures to visual components, supporting a variety of chart types including line, bar, pie, scatter, and radar plots. The library distinguishes itself through a hardware-accelerated drawing layer that ensures high-performance rendering across mobile platforms. It features a gesture-driven transformation engine that enables users to pan, zoom, and scale views, alongside an interpolated animation syste

v-charts is a Vue charting framework and component library that provides a simplified interface for rendering complex data visualizations. It acts as a wrapper for the ECharts visualization engine, allowing the creation of customizable charts and graphs within Vue applications. The library focuses on simplifying the integration of ECharts by replacing manual configuration with reusable components. It maps simplified data inputs to the required configuration objects and synchronizes the chart lifecycle with the framework to manage instance creation and disposal. The project covers frontend ch

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

This is an interactive notebook-based course that teaches machine learning from Python fundamentals through deep learning and natural language processing. It uses real datasets and multiple frameworks within a structured, hands-on curriculum that combines concise explanations with executable code cells, built-in datasets, and embedded exercise checkpoints. Learning progresses through data preparation and exploration, classical machine learning workflows, computer vision with convolutional neural networks, and natural language processing with deep learning, all delivered as a cohesive progressi

Charts is a data visualization framework and charting library for iOS, tvOS, and macOS. It provides a set of graphical components used to render interactive line, bar, pie, and scatter charts to represent complex data sets. The project serves as an implementation of a charting library adapted specifically for the Apple ecosystem. It includes a rendering engine capable of plotting data points directly from database records. The framework covers a broad range of visualization capabilities, including interactive data exploration via zooming and panning gestures, visual style customization for c

x-render is a configuration-driven UI framework and low-code interface builder that transforms structured data definitions into functional user interface components. It operates as a JSON-driven UI generator, using a standardized configuration protocol to render data tables, input forms, and charts. The system includes a visual form builder and interface design editor, allowing users to arrange layouts and configuration settings through a graphical interface to avoid writing manual structural code. This process is supported by a schema-based component library that maps configuration keys to a