This article walks through using AntV Infographic together with Vibe Coding and Trae Solo to create an AI‑powered chart generator that turns natural‑language descriptions into beautiful infographics, covering configuration basics, prompt engineering, automated code generation, testing, and result analysis.
This article introduces the AntV‑developed mcp-server-chart MCP Server, explains how to set up the VSCode + Cline + Node environment, configure the server via JSON, and demonstrates its ability to generate network and bar charts through large‑model function calls, while also discussing current limitations and future improvements.
This article introduces front‑end graph visualization using AntV G6 and Graphin, explains graph models and JSON data structures, covers traversal, shortest‑path and clustering algorithms, compares G6 and Graphin, and provides detailed TypeScript and React code for custom extensions, event handling, and full‑screen support.
This interview chronicles Wang Zhiwei’s journey from a university student experimenting with GitHub to the CTO of AntV, highlighting how his 100‑line Echarts‑for‑React component launched a thriving open‑source career, shaped Ant Group’s culture, and offers practical advice for developers eager to contribute to open source.
This whitepaper introduces AntV’s AVA framework for insight presentation, explains the concept of visualizing data insights, outlines design principles and standards for insight display, describes various presentation forms, and provides frontend technical solutions—including enhanced chart marks and independent insight cards—to efficiently deliver actionable visual analysis.
This article examines how rising analysis demands are reshaping enterprise data visualization, presenting three engineering challenges, a concrete case study of enhanced line charts, the shift toward declarative syntax, and emerging trends such as treating visualizations as data, improving analysis communication, and deepening automation.
This article chronicles Yǐngyǐng’s evolution from a curious student choosing computer science to a key contributor of AntV S2, highlighting her perseverance, open‑source breakthroughs, work‑life balance strategies, and the lessons she learned while shaping cross‑tab visualizations at Ant Group.
This article explores data visualization fundamentals, compares scientific, information, and analytical visualization, reviews popular frontend libraries like ECharts and AntV/G2, showcases real-world case studies, and details technical choices for building interactive charts and graph‑based analytics in modern applications.
This tutorial demonstrates step‑by‑step how to wrap popular H5 chart libraries like AntV/F2 and ECharts inside a Uni‑App component, enabling seamless chart rendering in WeChat mini‑programs using Vue syntax and handling canvas context compatibility.
This article demonstrates how to use AntV S2 in a React project to create a multi‑dimensional table for quickly filtering, sorting, paginating, and highlighting ideal housing units during a fast‑paced on‑site selection process, complete with code snippets and visual examples.
This article explains how AntV S2 uses a canvas‑based rendering engine and event delegation to provide advanced interactions such as cell highlighting, brush selection, dynamic resizing, column hiding, and custom tooltips for multi‑dimensional data tables, complete with code examples and implementation details.
This article provides a comprehensive analysis of AntV's F2 chart library, covering its graphics grammar foundation, modular architecture, implementation details, and mobile adaptation challenges, offering valuable insights for developers working with data visualization.
The talk outlines why enterprise data visualization is essential for extracting value from massive, multi‑dimensional data, describes design and development challenges, presents AntV's comprehensive frontend visualization solutions, and predicts future trends such as intelligent, democratized, and decision‑integrated visual analytics.
This article provides a thorough front‑end guide to data visualization, covering its definition, scientific and information branches, a step‑by‑step workflow, common pitfalls, and a curated list of tools and libraries such as AntV G2, F2, G6, L7 and others for various scenarios including general reports, mobile, large‑screen dashboards, graph editing, and geographic visualizations.
The G2 3.2 release from AntV introduces a richer visual cognition system with tail‑legend support, region‑filter color guides, new data marker guides, more flexible component configurations, and chart‑level theme customization, while providing installation options via npm or CDN for developers to try the latest features.
