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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
ngx-charts is an Angular charting library and SVG data visualization framework. It provides a set of declarative UI components for rendering animated and interactive charts and graphs within Angular applications. The library allows for the assembly of specialized visualizations by combining low-level internal charting components. It supports the creation of custom charts through the use of mathematical scales, shape generators, and CSS styling overrides. The framework covers a wide range of visualization types, including comparison charts such as bar and line graphs, distribution visualizati
bqplot is an interactive data visualization library for Jupyter notebooks. It implements a grammar of graphics model, allowing users to build complex 2D charts by combining marks, scales, and axes. The library distinguishes itself with specialized toolkits for financial charting, such as OHLC candlesticks and time-series analysis, and geographic data visualization, including choropleths and custom map projections for TopoJSON and GeoJSON data. It enables deep interaction through tools like lasso selection, rectangular brushing, and the ability to manually manipulate plot points or line data.
bqplot is an interactive data visualization library for IPython and Jupyter notebooks that utilizes a grammar of graphics. It functions as a tool for creating 2D charts and maps with real-time updates and bidirectional communication between the kernel and frontend. The library is distinguished by its ability to act as a geographic data visualization tool, rendering choropleth maps and spatial data via GeoJSON and custom projections. It also serves as a financial charting tool for producing OHLC and candle bar charts, and as an interactive dashboard framework for combining plotting widgets wit
Peity is a lightweight SVG data visualization library that transforms numeric text content and HTML attributes into small pie, donut, bar, and line charts. It functions as an attribute-driven renderer and a progressive enhancement tool, adding vector graphics to web pages by reading data directly from the DOM without requiring heavy JavaScript frameworks.
The main features of benpickles/peity are: SVG Data Visualization, Micro-Data Visualizations, Bar Charts, Pie Charts, SVG Path Calculations, Vector Chart Generators, SVG, Micro-Chart Widgets.
Projects with overlapping indexed features include: dc-js/dc.js — dc.js is a multi-dimensional analysis tool and visualization framework used to build interactive data dashboards. It… swimlane/ngx-charts — ngx-charts is an Angular charting library and SVG data visualization framework. It provides a set of declarative UI… bloomberg/bqplot — bqplot is an interactive data visualization library for Jupyter notebooks. It implements a grammar of graphics model,… bqplot/bqplot — bqplot is an interactive data visualization library for IPython and Jupyter notebooks that utilizes a grammar of… flot/flot — Flot is an interactive charting library for jQuery that renders line, bar, pie, and time-series plots with zooming and… f5/unovis — Unovis is a modular SVG and Canvas data visualization library used to build interactive charts, maps, and network…