Awesome GitHub RepositoriesJavaScript Charting

ECharts is a JavaScript data visualization library and web charting framework used to render interactive 2D and 3D data plots within a web browser. It functions as a visualization engine that transforms raw data into customizable charts and graphs. The project includes a WebGL-based hardware acceleration engine specifically for producing three-dimensional plots and globe visualizations. This allows the library to handle large and complex datasets through GPU-accelerated rendering. The framework supports both canvas-based raster rendering and SVG-based vector rendering. It provides capabiliti

Dash is a Python-based framework for building analytical web applications and reactive data dashboards. It allows developers to connect data science and machine learning code to interactive web interfaces without writing JavaScript, serving as a backend-driven tool for defining layouts and managing state. The framework integrates the Plotly charting engine to render a wide variety of complex charts and financial graphs. It distinguishes itself through a reactive callback system that links user input components to data visualizations, enabling the creation of business intelligence dashboards a

Plotly.js is a JavaScript charting library and interactive graphing framework used to create web-based visualizations. It functions as a high-performance data visualization engine that utilizes both SVG for static elements and WebGL for hardware-accelerated rendering of large datasets and complex 3D plots. The library is distinguished by specialized toolkits for financial analysis, such as candlestick and OHLC charts, and geographic mapping tools for rendering choropleth and scatter maps with custom projections. It also supports complex scientific visualizations, including Sankey diagrams, pa

dc.js is a multi-dimensional analysis tool and visualization framework used to build interactive data dashboards. It functions as a charting library that renders diverse SVG visualizations powered by D3 and integrates natively with Crossfilter to enable coordinated filtering across large datasets. The project is distinguished by its linked-view coordination, where selecting a data range or category in one chart simultaneously updates all other connected views. This allows for dynamic data exploration through dimensional chart linking and coordinated brushing, transforming raw datasets into na

nvd3 is a data visualization framework and reusable web graphing library. It provides a collection of interactive charting components built on top of the D3.js library to render complex datasets as graphics within a web browser. The library functions as a wrapper for D3.js, offering predefined chart types and modular templates. This implementation allows for the creation of custom data graphs and web dashboards without requiring the author to write low-level SVG code from scratch. The system utilizes SVG-based vector rendering and attribute-driven styling to generate visualizations. It incor

roughViz is a JavaScript data visualization library used to create charts with a hand-drawn, sketchy aesthetic. It functions as an SVG charting framework that renders visualizations in the browser, prioritizing the communication of general trends and patterns over absolute precision. The library provides a collection of tools to generate several chart types, including bar, line, pie, donut, and scatter plots, as well as stacked bar charts. These visualizations are produced using a non-linear drawing style to present technical information in an informal, organic appearance.

morris.js is a JavaScript data visualization library and SVG charting framework. It is designed to render time-series line, bar, area, and donut charts to visualize complex datasets and distribution patterns. The library specializes in time-series charting to display temporal trends and track how specific values change over time. It provides tools for statistical data representation, allowing for the comparison of different data sets or the illustration of proportions within a whole. The framework enables the creation of web dashboard analytics by transforming raw data into graphical represe

tui.chart is a statistical charting engine and data visualization library designed to render interactive charts and graphs for complex numerical datasets. It functions as a responsive charting framework capable of producing various statistical representations, including line, bar, scatter, bubble, and treemap charts. The library distinguishes itself through an interactive visualization system that supports synchronized tooltips across multiple charts, range-based zooming, and data series selection. It includes a layout engine that automatically adjusts chart dimensions and animations based on

echarts-for-react este o bibliotecă de grafice React și o componentă de vizualizare a datelor care servește drept wrapper pentru biblioteca Apache ECharts. Aceasta permite randarea vizualelor de date complexe și a graficelor în cadrul unei arhitecturi bazate pe componente, utilizând configurații declarative. Biblioteca oferă un mecanism pentru a accesa instanța de vizualizare subiacentă, permițând operațiuni de nivel scăzut, cum ar fi exportul de imagini și redimensionarea manuală. De asemenea, suportă legarea funcțiilor personalizate la evenimentele de vizualizare pentru a declanșa logica aplicației pe baza interacțiunilor utilizatorului. Setul de instrumente acoperă configurarea comportamentului general al graficelor și strategiile de actualizare. De asemenea, suportă importarea doar a componentelor specifice pentru a reduce dimensiunea totală a bundle-ului aplicației.

Epoch este un motor de grafice stilizabil prin CSS și o bibliotecă de vizualizare concepută pentru date în timp real și statistice. Funcționează ca un instrument de grafice de tip timeseries care randează date istorice și live folosind un hibrid de grafică SVG și HTML5 Canvas pentru a menține performanța în timpul actualizărilor frecvente. Biblioteca se distinge printr-un sistem unificat de interogare CSS care aplică stiluri atât elementelor de plot vectoriale, cât și celor raster. Acest lucru permite rezoluția temelor vizuale prin clase CSS și capacitatea de a personaliza aspectul unor serii de date specifice folosind foi de stil. Setul de instrumente acoperă o gamă largă de tipuri de vizualizare, inclusiv grafice cu linii, arii, bare și hărți termice pentru analiza tendințelor, precum și indicatoare, grafice plăcintă și bare grupate pentru dashboard-uri. De asemenea, oferă capabilități pentru explorarea statistică prin scatter plots și histograme care utilizează gruparea discretă pe bucket-uri și amestecarea culorilor pentru a arăta concentrarea datelor.

Library for animated data visualizations and data stories.

lit-line is a minimal line chart web component for modern websites.