Search Results for "charting library"
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Showing 8 open source projects for "charting library"
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1
Microcharts
Create cross-platform (Xamarin, Windows, ...) simple charts
Microcharts is an extremely simple charting library for a wide range of platforms (see Compatibility section below), with shared code and rendering for all of them! This project is just simple drawing on top of the awesome SkiaSharp library. The purpose is not to have an heavily customizable charting library. If you want so, simply fork the code, since all of this is fairly simple. -
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DXcharts Lite
Flexible open source financial charting library
Why choose DXcharts Lite? - User-friendly interface. DXcharts Lite provides a seamless intuitive user experience with automatic scale zoom, mouse wheel zoom, and chart scrolling. - Versatile chart types. The Lite version supports eight chart types. The platform streams real-time data updates allowing users to stay on top of market movements. - Comprehensive market coverage. DXcharts Lite provides a wide-ranging selection of asset classes and extensive market coverage. This includes a... -
3
billboard.js
Re-usable, easy interface JavaScript chart library based on D3.js
billboard.js is a re-usable, easy interface JavaScript chart library, based on D3.js. The name "billboard" comes from the famous "billboard chart" which everybody knows. billboard.js provides the easiest way to create a 'chart' instantly. Chart generation is super easy. With extensive options, you can create a chart instantly! Yes, billboard.js works on D3 v4+; what everybody was waiting for! All of the code was written as an ESM(ES Module) with ES6+ syntax. Combine hundreds of options to... -
4
AAChartKit Swift
An elegant modern declarative data visualization chart framework
An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. AAInfographics is the Swift language version of AAChartKit which is object-oriented, a set of easy-to-use, extremely elegant graphics drawing controls,based on the popular open source... -
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5
FL Chart
FL Chart is a highly customizable Flutter chart library
fl_chart is a charting library for Flutter that focuses on expressive, highly customizable data visualizations with smooth animations. It offers a broad set of chart types—line, bar, pie, scatter, and radar—each exposed through clear data/option models rather than imperative drawing. Interactive features like touch handling, tooltips, selection/highlighting, and panning help apps present insights rather than static images. -
6
LombokCharts
Canvas and SVG renderers, LTTB decimation,real-time streaming layer
LombokCharts A zero-dependency charting library for the browser. It pairs a small grammar-of-graphics core (Data → Scale → Mark) with pluggable Canvas and SVG renderers, LTTB decimation, and a real-time streaming layer — so the same API draws a five-point bar chart or a five-million-point line without changing shape. -
7
Google Charts
Interactive chart library for Flutter & web, now archived & read-only
Charts is an open source charting library created by Google for building data visualizations in the Flutter framework. It provides a set of tools and components for creating visually rich and interactive charts on both Android and iOS platforms. The library includes a core package, charts_common, which defines the shared logic and rendering capabilities, and charts_flutter, a Flutter-specific implementation that enables seamless integration with mobile apps. -
8
SwiftChart
Line and area chart library for iOS
Line and area chart library for iOS. The chart can be initialized from the Interface Builder. Drag a normal View into a View Controller and assign to it the Chart Custom Class from the Identity Inspector. As you can see, as default the values on the x-axis are the progressive indexes of the passed array. You can customize those values by passing an array of (x: Double, y: Double) tuples to the series initializer. Use the chart.xLabels property to make the x-axis showing more labels than...
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