Open-source alternatives to Ngx Charts

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

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

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

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

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.

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

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

vue-chartjs is a component library that wraps Chart.js chart types as reusable Vue components, integrating the charting library into Vue's component model. It provides reactive props binding so that charts automatically redraw when data or options change, and exposes the underlying Chart.js instance via template refs for direct programmatic access. The library also forwards Chart.js interaction events like clicks and hovers to Vue component event handlers, and applies ARIA labels to chart elements for screen reader support. The library distinguishes itself by offering typed Vue components for

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

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

Davinci is a business intelligence and data visualization platform used for building interactive dashboards and reports. It functions as a SQL-based dashboard builder and multi-tenant analytics service that connects to databases via JDBC and CSV files to transform raw data into visual components. The platform is distinguished by its granular security model, which includes row-level and column-level permissions integrated with LDAP and OAuth2 authentication. It also provides an embedded visualization tool that allows secure, parameterized charts and dashboards to be inserted into external appl

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

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

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

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

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.

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

Peity is a lightweight SVG data visualization library that transforms numeric text content and HTML attributes into small pie, donut, bar, and line charts. It functions as an attribute-driven renderer and a progressive enhancement tool, adding vector graphics to web pages by reading data directly from the DOM without requiring heavy JavaScript frameworks. The library supports custom drawing functions and dynamic color assignments, allowing for the registration of new chart types and the use of custom functions to determine segment colors. Its capability surface covers the rendering of mini d

ChartView is a SwiftUI-native charting library that provides bar, line, pie, and ring chart components within a unified grid-based layout system. The library renders charts by composing SwiftUI views declaratively from data models, letting the framework handle layout and updates without intermediate drawing layers. The library supports multiple chart types that share a common grid layout, enabling composable data visualizations with synchronized axes and backgrounds. Bar charts display data as vertical bars, line charts plot connected data points with gradient fills and optional markers, pie

Taiga UI is an Angular UI component library and accessible design system used for building enterprise web interfaces. It provides a comprehensive collection of reusable interface elements and layout tools, functioning as a mobile-first UI kit with responsive components that adapt to different device capabilities. The library distinguishes itself through an integrated data visualization library featuring various chart types and a dedicated form management framework with built-in validation and formatting for specialized data. It also features AI-driven development workflows by integrating comp

vue-echarts is a declarative charting wrapper and Vue.js component for the Apache ECharts library. It functions as a data visualization library that maps configurations and data updates to a rendering engine, enabling the embedding of interactive graphs and charts as reusable web components. The project provides a system for managing visual consistency through theme configuration and context-based injection. It allows for deep customization of the visualization interface, including the use of scoped slots to render custom HTML markup within tooltips and the construction of complex graphic ele

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

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,

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

vx is a declarative charting framework and SVG data visualization library. It serves as an integration layer that combines D3 mathematical scales and shapes with a component-based UI for rendering visualizations. The project provides a set of building blocks for constructing custom charts and diagrams using React components. It bridges mathematical data and visual representation by utilizing low-level primitives to manage scalable vector graphics without manual document object model manipulations. The library covers a broad capability surface including custom chart development, declarative S

metrics-graphics is a data visualization library and declarative graphics framework designed to create principled data graphics and layouts. It functions as a statistical graphics engine that maps raw data to geometric shapes and structured objects to render complex, data-driven layouts. The toolkit specializes in rendering time-series data through line charts and scatterplots using a consistent layout system. It also provides capabilities for statistical distribution mapping, including the creation of rug plots to represent one-dimensional data density. The system covers a broad surface of