go-echarts is a Go library and wrapper for Apache ECharts used to create interactive data visualizations. It functions as a generator that produces the configurations and HTML files necessary to render complex datasets as visual charts and graphs in a web browser. The library includes specialized tools for geographic data visualization, allowing spatial information and distributed datasets to be mapped using coordinates and regional boundaries. The project supports exporting visualizations as standalone HTML files for static use or serving them through an HTTP server for web-based dashboardi
This C++ data visualization library is a scientific plotting framework used to create 2D and 3D charts, network graphs, and geographic maps. It operates as a multi-backend graphics library, decoupling high-level plotting logic from low-level rendering engines to support various output backends. The project distinguishes itself with a dual-interface API, providing both a global functional interface for rapid prototyping and an object-oriented interface for precise control. It features a component-based layout engine for managing tiled grids and subplots, alongside a layered plot state that all
Davinci is a business intelligence and data visualization platform used for building interactive dashboards and reports. It functions as a SQL-based dashboard builder and multi-tenant analytics service that connects to databases via JDBC and CSV files to transform raw data into visual components. The platform is distinguished by its granular security model, which includes row-level and column-level permissions integrated with LDAP and OAuth2 authentication. It also provides an embedded visualization tool that allows secure, parameterized charts and dashboards to be inserted into external appl
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
go-echarts is a data visualization library and wrapper for Go that generates JSON configurations for the ECharts JavaScript library. It functions as an HTML chart generator, allowing developers to create interactive charts and browser-based reports within Go applications.
go-echarts/go-echarts 的主要功能包括:Interactive Data Charting, Data Visualization Libraries, Geographic Map Visualizations, Geographic Data Mapping, JSON Configuration Mapping, Dashboard Generation Frameworks, Apache ECharts Integrations, Automated Report Generators。
go-echarts/go-echarts 的开源替代品包括: chenjiandongx/go-echarts — go-echarts is a Go library and wrapper for Apache ECharts used to create interactive data visualizations. It functions… alandefreitas/matplotplusplus — This C++ data visualization library is a scientific plotting framework used to create 2D and 3D charts, network… edp963/davinci — Davinci is a business intelligence and data visualization platform used for building interactive dashboards and… dc-js/dc.js — dc.js is a multi-dimensional analysis tool and visualization framework used to build interactive data dashboards. It… justineo/vue-echarts — vue-echarts is a declarative charting wrapper and Vue.js component for the Apache ECharts library. It functions as a… bloomberg/bqplot — bqplot is an interactive data visualization library for Jupyter notebooks. It implements a grammar of graphics model,…