Awesome GitHub RepositoriesChart Customization Frameworks

This project is a declarative data visualization library that provides a composable suite of user interface components for rendering interactive charts. It functions as an SVG-based charting engine, allowing developers to construct complex visualizations by nesting modular building blocks such as axes, grids, legends, and data series within a unified layout. The library distinguishes itself through a highly responsive architecture that automatically reconciles layout changes and maps data domains to pixel coordinates using mathematical scale functions. It prioritizes performance through memoi

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

KLineChart is a high-performance financial charting library and data visualization engine. It uses native browser canvas APIs to render interactive candlestick charts and time-series financial data for web and mobile applications. The library is built as a plugin-based framework, allowing for the integration of custom calculation logic and rendering routines. This modular architecture enables the addition of technical analysis visualization tools and custom indicators to financial dashboards. The system handles real-time market data updates and computes technical indicators to visualize mark

Este proyecto es un wrapper de Python para la librería Lightweight Charts, diseñado para renderizar visualizaciones financieras interactivas basadas en navegador. Sirve como framework para construir dashboards financieros e interfaces personalizadas que integran feeds de mercado en tiempo real y series de datos históricos. La librería permite la construcción de layouts complejos combinando gráficos multipanel, listas de seguimiento y tablas de entrada de órdenes en un espacio de trabajo unificado. Soporta el monitoreo de mercado en tiempo real mediante el streaming de datos de ticks o barras directamente a las visualizaciones activas, permitiendo actualizaciones incrementales sin necesidad de recargar la página. Más allá del renderizado básico, el toolkit ofrece capacidades extensas para análisis técnico, incluyendo la posibilidad de dibujar anotaciones, líneas de tendencia y marcadores directamente sobre el canvas. Los usuarios pueden configurar la apariencia visual de velas, barras de volumen y leyendas, mientras mapean interacciones como la selección de marcos temporales o atajos de teclado a lógica personalizada en Python.