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is a text visualization solution for unstructured data within the AntV technology stack, and it is a declarative T8 markdown syntax that can be used to describe the content of data interpretation reports.","maintainers":[{"name":"lvisei","email":"yunji.me@outlook.com"},{"name":"iaaron","email":"943720372@qq.com"},{"name":"jinke.li","email":"jinke.li666@gmail.com"},{"name":"lzxue","email":"120635640@qq.com"},{"name":"army8735","email":"army8735@qq.com"},{"name":"dengfuping","email":"dengfuping_private@163.com"},{"name":"afc163","email":"afc163@gmail.com"},{"name":"chenluli","email":"chenluuli@gmail.com"},{"name":"kn9117","email":"1175863618@qq.com"},{"name":"bbsqq","email":"1491812683@qq.com"},{"name":"banxuan","email":"zhuyuxin0627@gmail.com"},{"name":"yanxiong","email":"ojh496845051@gmail.com"},{"name":"atool","email":"wzwahl36@qq.com"},{"name":"pearl_wang","email":"610999886@qq.com"},{"name":"alex_zjt","email":"alex_zjt@163.com"},{"name":"duxinyue023","email":"duxinyue.dxy@antgroup.com"},{"name":"wang1212","email":"mrwang1212@126.com"},{"name":"gaofuhong","email":"gaofh1023@163.com"}],"readme":" [English](./README.md) | 简体中文\n\n

\n🧬 T8：文本数据可视化\n

\n\n
\n\n`T8` 是 AntV 技术栈下针对非结构化数据得文本可视化解决方案，其中 `T` 代表 Text，`8` 代表一个字节 8 bits，寓意这个工具可以深度透视文本底下的洞察。\n\n![gzip size](https://img.badgesize.io/https://unpkg.com/@antv/t8/dist/t8.min?compression=gzip)\n[![Build Status](https://github.com/antvis/t8/actions/workflows/build.yml/badge.svg)](https://github.com/antvis/T8/actions/workflows/build.yml)\n[![codecov](https://codecov.io/gh/antvis/T8/graph/badge.svg?token=A8fR9pUkbc)](https://codecov.io/gh/antvis/T8)\n[![npm Version](https://img.shields.io/npm/v/@antv/t8.svg)](https://www.npmjs.com/package/@antv/t8)\n[![npm License](https://img.shields.io/npm/l/@antv/t8.svg)](https://www.npmjs.com/package/@antv/t8)\n\n
\n\n`T8` 是一套声明式的 Markdown `Syntax` 语法，可以用它描述数据解读报告的内容。技术方案上，基于 Markdown `Syntax` 数据来自服务端生成的假设，前端消费 Syntax 进行渲染即可。随着数据表达的多样性和即时性的要求越来越高，以及 AI、NLP 技术越来越多的被应用，前端维护文本模版将不可持续，此时使用 T8 进行统一渲染将是最佳选择。\n\n## 📚 文档\n\n- **[快速开始](https://t8.antv.vision/zh/tutorial/quick-start)** - 几分钟内开始使用 T8，包含安装和基本使用示例\n- **[教程](https://t8.antv.vision/zh/tutorial/quick-start)** - 学习主题、事件、插件、流式渲染和 LLM 集成\n- **[语法](https://t8.antv.vision/zh/syntax/)** - 完整的 T8 语法参考和结构指南\n- **[API 文档](https://t8.antv.vision/zh/api/)** - 详细的 API 文档和使用指南\n\n## ✨ Features\n\n- 🛫 **前端技术栈无关** - 可以在 `React`, `Vue` 或者其他的前端框架中使用，并非常易于封装成组件。\n- 🤖 **大语言模型友好** - T8 的 Markdown `Syntax` 描述，近通过简单的提示词，就可以非常容易被大语言模型理解和生成。\n- 🛠️ **可扩展** - 可以通过 `EntityPhrase` 来快速的自定义 T8 文本展示的样式。\n- 🪩 **轻量级** - 很少的、轻量的依赖，并在代码设计中关注包大小，压缩后小于 `20` Kb。\n\n## 🔨 安装\n\n使用 npm 或 yarn 安装 T8：\n\n```bash\nnpm install @antv/t8\n```\n\n```bash\nyarn add @antv/t8\n```\n\n## 🚀 快速示例\n\n```js\nimport { Text } from '@antv/t8';\n\nconst text = new Text({ container: 'container' });\ntext.theme('light').render(`\n # 销售报告\n 总销售额达到 [¥1,234,567](metric_value, origin=1234567)。\n`);\n```\n\n完整的使用示例和高级功能，请参见 **[快速开始指南](https://t8.antv.vision/zh/tutorial/quick-start)**。\n\n## 🤖 在大模型中使用\n\nT8 被设计为对大语言模型友好。T8 语法可以轻松地由 AI 模型生成，使其成为自动化数据叙述生成的理想选择。为了帮助您将 T8 与 AI Agent 集成：\n\n- **[提示词模板](./prompt.zh-CN.md)** - 可直接使用的 LLM 提示词，用于生成 T8 语法\n- **[LLM 集成指南](https://t8.antv.vision/zh/tutorial/advanced/llm)** - 使用 T8 与大语言模型的完整指南\n- **[示例](./example/example.md)** - T8 语法输出示例\n\n## 📮 Contributing\n\n很期待我们的用户参入到 T8 的开发和反馈，也感谢所有贡献这个项目的开源社区开发者。🙏\n\n- [Issues](https://github.com/antvis/t8/issues) - 报告 Bug 或者提交 Pull Request\n- [Discussions](https://github.com/antvis/t8/discussions) - 在 GitHub 讨论区讨论想法\n\n## 📄 License\n\nMIT@[AntV](https://github.com/antvis).\n","readmeFilename":"README.zh-CN.md"}