Open Source Windows Charting Libraries
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Charting Libraries for Windows
View 56 business solutionsBrowse free open source Charting Libraries and projects for Windows below. Use the toggles on the left to filter open source Charting Libraries by OS, license, language, programming language, and project status.
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JFreeChart is a free (LGPL) chart library for the Java(tm) platform. It supports bar charts, pie charts, line charts, time series charts, scatter plots, histograms, simple Gantt charts, Pareto charts, bubble plots, dials, thermometers and more. *** JFreeChart has moved to GitHub: https://github.com/jfree/jfreechart ***
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Apexcharts.js
Interactive JavaScript Charts built on SVG
A modern JavaScript charting library that allows you to build interactive data visualizations with simple API and 100+ ready-to-use samples. Packed with the features that you expect, ApexCharts includes over a dozen chart types that deliver beautiful, responsive visualizations in your apps and dashboards. ApexCharts is an MIT-licensed open-source project that can be used in commercial and non-commercial projects. You can create a combination of different charts, sync them and give your desired look with unlimited possibilities. Below is an example of synchronized charts with github style. Zoom, Pan, Scroll through data. Make selections and load other charts using those selections. An example showing some interactivity. Another approach to Drill down charts where one selection updates the data of other charts. Annotations allows you to write custom text on specific values or on axes values. Valuable to expand the visual appeal of your chart and make it more informative. -
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go-chart
go chart is a basic charting library in go
Package chart is a very simple golang native charting library that supports time-series and continuous line charts. Master should now be on the v3.x codebase, which overhauls the api significantly. Per usual, see examples for more information. Actual chart configurations and examples can be found in the ./examples/ directory. They are simple CLI programs that write to output.png (they are also updated with go generate. Everything on the chart.Chart object has defaults that can be overridden. Whenever a developer sets a property on the chart object, it is to be assumed that value will be used instead of the default. The best way to see the api in action is to look at the examples in the ./_examples/ directory. I wanted to make a charting library that used only native golang, that could be stood up on a server (i.e. it had built-in fonts). The goal with the API itself is to have the "zero value be useful", and to require the user to not code more than they absolutely needed. -
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QuickChart
Chart image and QR code web API
Generate chart images with a simple, open API. Add charts to emails, reports, and anywhere else. Over 3 billion charts are rendered for users around the world. We're built on Chart.js, the most popular open-source charting library. We'll render any Chart.js configuration. Let's get creative! You can use all static customization options available in Chart.js. Visit our chart gallery to see different chart types and plugins: bar charts, line graphs, pie charts, and much more. QuickChart easily integrates with many no-code tools. Use our no-code chart maker to create custom chart templates that you can embed dynamically in spreadsheets, Airtable, Bubble, AppSheet, Thunkable, and many other no-code tools. Rendering at scale is difficult and resource intensive. We've put a lot of working into taking care of the most difficult parts so you can focus on building your application. -
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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 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. - Snapshots. The snapshot feature is a handy tool that allows users to take and share chart snapshots anywhere. - Customisation. The platform offers users the ability to personalise their workspace allowing traders to customise their own theme or choose between the predefined dark or white ones. -
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plotly.py
The interactive graphing library for Python
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. -
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JChart2D
jchart2d is a real-time charting library written in java.
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. -
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BizCharts
Powerful data visualization library based on G2 and React
BizCharts is Alibaba's general charting component library, dedicated to creating efficient, professional and convenient data visualization solutions in the middle and backend of enterprises. Based on the React charting library packaged by G2 and G2Plot, it has experienced three years of baptism in Alibaba's complex business scenarios. In terms of convenience, ease of use, and richness, it satisfies the business implementation of conventional charts and highly customized charts. After years of accumulation and continuous polishing, BizCharts 4.0 has been newly upgraded; in addition to having a flexible graphics syntax, it has added an interactive syntax and a better animation experience. At the same time, it enhances the React coding ability, and the writing is freer. The built-in encapsulation of responsive chart g2-plot works out of the box and complements the atomic capabilities of BizCharts to keep moving forward on the visual path of flexibility and ease of use. -
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Britecharts
Composable Charting Library based on reusable D3.js components
Britecharts is a client-side reusable Charting Library based on D3.js v5 that offers easy and intuitive use of charts and components that can be composed together to create amazing visualizations. Britecharts components have been written in ES2016 with a Test Driven methodology, so they are fully tested, and we are committed to keeping them that way. The typical use of Britecharts involves creating a chart using its simple API, then rendering it on a container that has previously had data applied to it. All the components expose some common API methods like width, height, and margin. Additionally, each chart or component can expose specific methods you can find in the documentation. Britecharts components are distributed in UMD modules, each one exposing a D3.js component written with the Reusable API pattern. To use any of the Britecharts modules, you will need to require the chart in your JS file using AMD/CommonJS modules or adding a script tag with the src pointing to the file. -
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C3.js
A D3-based reusable chart library
C3 makes it easy to generate D3-based charts by wrapping the code required to construct the entire chart. We don't need to write D3 code any more. C3 gives some classes to each element when generating, so you can define a custom style by the class and it's possible to extend the structure directly by D3. C3 provides a variety of APIs and callbacks to access the state of the chart. By using them, you can update the chart even after it's rendered. C3 enables deeper integration of charts into your application. Because of the dependence on D3, C3 supports only modern browsers D3 supports. For IE9 and IE10, polyfill is required because c3 uses MutationObserver, which is not supported in those versions. However, it's not required if charts always will be binded to the DOM specified by bindto because MutationObserver is not called in that case. -
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Chart.xkcd
xkcd styled chart lib
Chart.xkcd is a chart library plots “sketchy”, “cartoony” or “hand-drawn” styled charts. It’s easy to get started with chart.xkcd. All that’s required is the script included in your page along with a single <svg> node to render the chart. You can install chart.xkcd via script tag in HTML or via npm. Line chart displays series of data points in the form of lines. It can be used to show trend data, or comparison of different data sets. XY chart is used to plot points by specifying their XY coordinates. A bar chart provides a way of showing data values represented as vertical bars. A stacked bar chart provides a way of showing data values represented as vertical bars. Display labels near every line (default false). Customize tick numbers you want to see on the main line. You can change size of the dots if you want. -
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Chartist.js
Simple responsive charts
You may think that this is just yet an other charting library. But Chartist.js is the product of a community that was disappointed about the abilities provided by other charting libraries. Of course there are hundreds of other great charting libraries but after using them there were always tweaks you would have wished for that were not included. Are you planning to use Chartist to create a nice Dashboard or Admin UI? Don't loose any time and kickstart your development using the awesome templates by Creative Tim. They include Chartist and come with awesome chart styles! Specifying the style of your chart in CSS is not only cleaner but also enables you to use awesome CSS animations and transitions to be applied to your SVG elements! Note that CSS3 animations on SVG CSS attributes are not supported on all browsers and the appearance may vary. -
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Covalent
Teradata UI Platform built on Angular Material
Reusable tested tools to build robust Angular Material & Angular applications. Vision: To build an atomic, reusable component platform for Teradata to consume, while collaborating in an open-source model. Covalent is a reusable UI platform from Teradata for building web applications with common standards and tooling. It is based on Angular and Material Design. Visualize your data easily. ECharts is an extensive "tried and true" charting library brought to Angular as Covalent Charts. td-chart-x-axis and td-chart-y-axis elements generate an axis inside a td-chart. Its the equivalent of creating a JS xAxis/yAxis object in charts. Blank main site nav component that gets hooked as a parent of all the other layouts. Layout with a custom navigation view with toolbar items and footers. Basic side sheet content. -
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A simple yet powerful Gantt chart library for Java 1.6 and later. DGantt is lightweight, requires no external libraries, is fast and efficient, and is currently deployed in several industrial projects. Also check out other projects from the author, including the MOEA Framework (http://www.moeaframework.org) and TSPLIB4J (https://github.com/dhadka/TSPLIB4J/).
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Dashboards by Keen IO
Responsive dashboard templates
Responsive dashboard templates for Bootstrap. Building an analytics dashboard? Don’t start from scratch. Grab one of our CSS Grid-based templates and admire your data in minutes. An attractive, custom analytics dashboard that's ready to be shown to your team or your customers. No hours lost tweaking CSS or testing responsiveness on eight different mobile devices. The templates can work with any data source or charting library, but they're particularly streamlined to work with Keen IO's Dataviz SDK. You can add some charts to your dashboard with just a few lines of code. If you're a registered Keen IO user, navigate to your keen project or if you don't have a user at first, you can simply use some demo data that we've prepared for you. You can access those by going to the repository and navigating to demo-data. There, you will see some javascript files with some code in them. We will simply paste those in the .html file. -
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Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This capability can often be leveraged by sending users to the same URL that your visualization code uses internally to load the data. While DRP is primarily a data API, it also provides a default collection of interactive visualizations through the @wq/chart library, and a @wq/pandas loader to facilitate custom JavaScript charts that work well with CSV output served by DRP. These can be used to create interactive time series, scatter, and box plot charts. -
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F2
An elegant, interactive and flexible charting library for mobile
F2 is an out-of-the-box visualization engine focused on the mobile terminal, oriented to conventional statistical charts, perfectly supporting the H5 environment and compatible with multiple environments (Node, applet), complete graphics grammar theory, to meet your various visualization needs , professional mobile design guidelines to bring you the best mobile graphics experience. Best practices for moving side charts around design, performance and heterogeneous environments. Based on the grammar of graphics, Flexible construction of various charts (50+), complete components, covering various scenarios. Plugin, graphics, animation and interaction can be flexibly expanded and freely used. Covering business scenarios such as Ant membership, Alipay monthly bills, personal total assets, etc., it helps you understand your consumption data faster and better through visualization. -
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FB Chart Designer
Create multi-degree polynominals charts. Designed in FbEdit & WinAPI.
This program allows to draw diagrams with chart library, that can be used with dialog applications, based on the RC files designers (such as FbEdit for example). This is the one of the fastest way to create window application with visual design methods, and implement into it an ellegant and flexible chart, that can be choosen from four different diagram kinds (if you edit code and use it in your projects). The source code chart library by Lothar Schirm is based on the consolidated solutions from FireFly Designer by Paul Squires. FB Chart Designer shows the complete example of connection those mentioned solutions to achieve thiny file and less code project. It makes more simply to analyze code and provides faster implementation of rebuilted chart library. Chart drawing method is based on "windows.bi" FreeBasic library (Windows API framework). For more info visit: https://freebasic.net/forum/viewtopic.php?f=8&t=27714 -
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* Import pnp4nagios rrd data to Highcharts. * Highcharts is a charting library written in pure JavaScript, offering intuitive, interactive charts to your web site or web application.
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A jsf charting library depending on JFreeChart. Unlike other libraries, this one allows to get usage of (almost) all JFreeChart features.
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LiveChartGraph
A live charting library for wxWidgets
LiveChartGraph is a live charting library for wxWidgets written in c++ -
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NPlot is an open source charting library for .NET. It boasts an elegant and flexible API. NPlot includes controls for Windows.Forms, ASP.NET and a class for creating Bitmaps. A GTK# control is also available.
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NVD3
A reusable charting library written in d3.js
This project is an attempt to build re-usable charts and chart components for d3.js without taking away the power that d3.js gives you. This is a very young collection of components, with the goal of keeping these components very customizable, staying away from your standard cookie cutter solutions. Download d3.v3.js. This is the only required library for NVD3. Download the latest nv.d3.js (version 1.8.1). Get the development version, or minified production version. Don’t forget the NVD3 css file! Checkout our examples gallery for how to code your first chart. Our examples should provide you with enough code to start making beautiful charts. Google Chrome is our best supported browser. NVD3 also works in Firefox, Opera, Safari and Internet Explorer 10. NVD3 is currently maintained by a team of frontend software engineers at Novus Partners. -
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QuantComponents
Free Java components for Quantitative Finance and Algorithmic Trading
An open-source framework for financial time-series analysis and algorithmic trading, based on Java and OSGi, with an Eclipse front-end. * Highly modular: usable as plain java API, OSGi components, or integrated into Eclipse * Standalone or client-server architecture, depending on performance and reliability needs * Integrated with Interactive Brokers through IB Java API * Generic broker API, it can easily be extended to work with other brokers * It works with historical and/or realtime market data * Backtesting facility * Extensible SWT charting library -
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React Chart.js
React components for Chart.js, the most popular charting library
React components for Chart.js, the most popular charting library. With v4, this library introduces a number of breaking changes. In order to improve performance, offer new features, and improve maintainability, it was necessary to break backwards compatibility, but we aimed to do so only when worth the benefit. You will find that any event which causes the chart to re-render, such as hover tooltips, etc., will cause the first dataset to be copied over to other datasets, causing your lines and bars to merge together. This is because to track changes in the dataset series, the library needs a key to be specified. If none is found, it can't tell the difference between the datasets while updating. Specify a different property to be used as a key by passing a datasetIdKey prop to your chart component.
