一个使用Python构建机器学习、数据分析web app的框架，无需 JavaScript
一款高性能企业级JavaScript数据表格组件。支持 React / Angular / Vue / 原生JavaScript
Performant financial charts built with HTML5 canvas
翻译 - 使用HTML5画布构建的财务轻量级图表
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
翻译 - 建立多维图表以与d3.js呈现的交叉过滤器一起本机工作
Simple, flexible, interactive & powerful charts, maps and gauges for .Net, LiveCharts2 can now practically run everywhere Maui, Uno Platform, Blazor-wasm, WPF, WinForms, Xamarin, Avalonia, WinUI, UWP.
翻译 - LiveCharts2 的简单、灵活、交互式和强大的图表、地图和仪表现在几乎可以在任何地方运行 WPF、Xamarin、Avalonia、Uno (WIP)、WinForms 和 UWP (WIP)。
#安卓#AnyChart Android Chart is an amazing data visualization library for easily creating interactive charts in Android apps. It runs on API 19+ (Android 4.4) and features dozens of built-in chart types.
翻译 - AnyChart Android Chart是一个了不起的数据可视化库，可轻松在Android应用程序中创建交互式图表。它可以在API 19+（Android 4.4）上运行，并具有数十种内置图表类型。
Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.
翻译 - Querybook是一个大数据查询UI，结合了并置的表元数据和简单的笔记本界面。
Library for animated data visualizations and data stories.
Nice-looking lightweight console ASCII line charts ╭┈╯ for NodeJS, browsers and terminal, no dependencies
The most advanced amCharts charting library for JavaScript and TypeScript apps.
JSXGraph is a cross-browser library for interactive geometry, function plotting, charting, and data visualization in a web browser.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
an extensive Qt5 & Qt6 Plotter framework (including a feature-richt plotter widget, a speed-optimized, but limited variant and a LaTeX equation renderer!), written fully in C/C++ and without external ...
#时序数据库#Quantitative Financial Modelling Framework
#时序数据库#The Reporting Engine for Django. Create dashboards and standalone Reports and Charts.
Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
Technical Indicators implemented in Python using Pandas