Stars and mentions
Last 30 days, Oct 5 – Nov 3
Package downloads
Cumulative recorded downloads · since 2025-10-19
Across 14 known packages in repositories antvis owns. Cumulative totals include recorded downloads before the selected range. Missing observations leave gaps; totals may be incomplete.
Top repositories
antvis’s repositories ranked by new forks, as on trending.
Contributes to
Repositories outside antvis’s account where antvis opened or reviewed pull requests in the past 365 days.
Who noticed antvis
Everyone who starred or forked antvis’s repositories since the archive began in 2011.
Notable accounts
Ordered by the stars their own repositories have received.
Biggest fans
Accounts that starred the most of these repositories.
Breakout weeks
Each repository’s best week of new stars, with the release published around it.
Achievements
Awards earned by the repositories antvis owns. Select an award to embed its badge.
- Gold
- 01st place finishes
- Silver
- 42nd place finishes
- Bronze
- 23rd place finishes
- Awarded repositories
- 2Owned by antvis now
Repositories
Ordered by gold, then silver, then bronze.
A repository earns an award for finishing first, second or third in a completed trending day or week, ranked by new stars, new forks or pull request authors. Awards follow a repository through renames and transfers and count toward its current owner. Weeks run Monday to Sunday, UTC.
Mentions
AntV 又开源了，这次是一个数据分析 Agent 的开发框架： AVA 简介 我们是 AntV ，蚂蚁做数据可视化解决方案的，今天发布了 AVA 4.0 版本。 - 官网： ava.antv.vision - 开源地址： antvis/AVA 感谢关注一下 ⭐️⭐️。~50 行核心代码 即可构建你的 Data Agent ； AVA 4.0 是 一套面向 JavaScript 应用和 AI Agent 的开源数据分析与可视化框架。 3.0 基于规则与统计方法，聚焦数据洞察与图表推荐，帮助开发者发现数据中的异常、趋势，并选择合适的图表。4.0 进一步面向 AI Agent ，打通数据接入、分析执行与可视化表达。Agent 可以结合业务口径理解问题，调用 AVA 查询和计算数据，再用图表呈现结果。 > 如果你熟悉 PandasAI ，可以把 AVA 理解为 JavaScript 生态中面向 AI Agent 的数据分析与可视化框架。 使用 - 1.安装 npm install @antv/ava@4 - 2.实例化 AVA import { AVA } from '@antv/ava'; const ava = new AVA({ llm: { model: '<your-model>', apiKey: '<your-api-key>', // baseURL: '<your-provider-api-url>', }, }); - 3.加载数据 await ava.source({ type: 'csv-file', options: { path: './sales.csv' } }); 支持 10+ 中数据源，包括本地文件、远程数据、以及像飞书、腾讯表格、Supabase 的 Saas 产品数据，还在社区生态扩展中。 - 4.探索数据 const schema = await ava.schema(); const profile = await ava.profile({ metrics: ['row_count', 'null_count'] }); await ava.semantic(undefined, () => ({ description: 'Use the sales column for amounts after discounts and order_date for monthly comparisons.', })); 通过 API 了解加载的数据集是什么样的？可以做什么分析！ - 5.问题推荐 如果不知道需要问什么？可以让 AVA 来推荐。 const suggestions = await ava.suggest(3); // - How did sales change from January to February 2025? // - Which products contributed most to the sales decline? // - How do sales and profit vary by region? - 6.分析和洞察 自然语言对话，问数，查数，洞察信息等。 const result = await ava.analyze( 'Compare January and February 2025 sales by product. Show both months and the change, ordered by the largest decline.' ); - 7.可视化 AntV 做可视化的，自然少不了分析结果数据的可视化。可视化能力基于 [GPT-Vis]( gpt-vis.antv.vision) 同样也是开源的. const chart = await ava.visualize({ query: 'Plot the sales change by product from January to February 2025 as a bar chart.', data: result.data, }); 周边 除了以 SDK 用 API 快速接入 Data Agent 之外， 也可以直接使用 CLI 或者 Skill ，快速本地做数据分析。具体： - 官网： ava.antv.vision - 生态周边收集： AVA#1035 V2EX 不能贴图，还是去官网看吧，官网有 AI 体验能力，填入 APIKey 就能体验纯前端版本。
Type text, get an infographic | Awesome GitHub Repos Part 1 AntV Infographic, an open-source framework that renders infographics from a short text syntax, designed for AI and streaming output. ⭐ Repo: antvis/Infographic #opensource #github #programming
做信息图不用再求设计师了。 蚂蚁 AntV 出了个 Infographic：输入一句描述，直接出专业 SVG 信息图，自带约 200 套模板。 装进 Claude 就能用，npm 上开箱集成。 我唯一嘀咕的是：模板这么多，选择困难症要犯。 你打算先拿它画什么？ 仓库：antvis/Infographic t.co
Small tip that made a big difference: have @bot install antvis/mcp-server-chart and use it any time it shows off data. Way better than a markdown table.
VRChatワールド軽量化 12個のTips 使用スキル デザイン: pbakaus/impeccable レンダリング: antvis/infographic t.co