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...This adds Browserify transform compatibility to Webpack which is necessary for some plotly.js dependencies. When users hover over a figure generated with plotly.js, a modebar appears in the top-right of the figure. This presents users with several options for interacting with the figure. When users hover over a figure generated with plotly.js, a modebar appears in the top-right of the figure. This presents users with several options for interacting with the figure.

plotly.py is a browser-based, open source graphing library for Python that lets you create beautiful, interactive, publication-quality graphs. Built on top of plotly.js, it is a high-level, declarative charting library that ships with more than 30 chart types. Everything from statistical charts and scientific charts, through to maps, 3D graphs and animations, plotly.py lets you create them all. Graphs made with plotly.py can be viewed in Jupyter notebooks, standalone HTML files, or hosted online using Chart Studio Cloud.

...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 variety of financial instruments such as stocks, forex, cryptocurrencies, and more. - Efficiency and speed. The platform uses HTML5 based on canvas to ensure smooth chart loading and data processing...

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. Their is no interaction, nor animation at the moment.

...Line chart (cubic lines, filled lines, scattered points), column chart (grouped, stacked, negative values), pie chart, bubble chart, combo chart (columns/lines), preview charts (for column chart and line chart), zoom (pinch to zoom, double tap zoom), scroll and fling. Custom and auto-generated axes (top, bottom, left, right, inside), and animations. Code of a demo application is in hellocharts-samples directory, requires appcompat v21. The demo app is also ready for download on Google Play. Every chart view can be defined in layout xml file or created in code and added to layout later. After the chart data has been set you can still modify its attributes but right after that you should call set*ChartData() method again to let chart recalculate and redraw data.

JChart2D is a easy to use component for displaying two- dimensional traces in a coordinate system written in Java. It supports real-time (animated) charting, custom trace rendering, Multithreading, viewports, automatic scaling and labels. Former UI controls (right click context menu, file menu) have been ported to the subproject jchart2d-uimenu (https://sourceforge.net/projects/jchart2d-uimenu.jchart2d.p/) for the benefit of having no dependencies to 3rd party libraries.