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WSL2），即可通过简单的命令行引导完成部署。如果你渴望拥有一个懂你",349277,3,"2026-04-06T06:32:30",[13,14,15,16],"Agent","开发框架","图像","数据工具","ready",{"id":19,"name":20,"github_repo":21,"description_zh":22,"stars":23,"difficulty_score":10,"last_commit_at":24,"category_tags":25,"status":17},3808,"stable-diffusion-webui","AUTOMATIC1111\u002Fstable-diffusion-webui","stable-diffusion-webui 是一个基于 Gradio 构建的网页版操作界面，旨在让用户能够轻松地在本地运行和使用强大的 Stable Diffusion 图像生成模型。它解决了原始模型依赖命令行、操作门槛高且功能分散的痛点，将复杂的 AI 绘图流程整合进一个直观易用的图形化平台。\n\n无论是希望快速上手的普通创作者、需要精细控制画面细节的设计师，还是想要深入探索模型潜力的开发者与研究人员，都能从中获益。其核心亮点在于极高的功能丰富度：不仅支持文生图、图生图、局部重绘（Inpainting）和外绘（Outpainting）等基础模式，还独创了注意力机制调整、提示词矩阵、负向提示词以及“高清修复”等高级功能。此外，它内置了 GFPGAN 和 CodeFormer 等人脸修复工具，支持多种神经网络放大算法，并允许用户通过插件系统无限扩展能力。即使是显存有限的设备，stable-diffusion-webui 也提供了相应的优化选项，让高质量的 AI 艺术创作变得触手可及。",162132,"2026-04-05T11:01:52",[14,15,13],{"id":27,"name":28,"github_repo":29,"description_zh":30,"stars":31,"difficulty_score":32,"last_commit_at":33,"category_tags":34,"status":17},1381,"everything-claude-code","affaan-m\u002Feverything-claude-code","everything-claude-code 是一套专为 AI 编程助手（如 Claude Code、Codex、Cursor 等）打造的高性能优化系统。它不仅仅是一组配置文件，而是一个经过长期实战打磨的完整框架，旨在解决 AI 代理在实际开发中面临的效率低下、记忆丢失、安全隐患及缺乏持续学习能力等核心痛点。\n\n通过引入技能模块化、直觉增强、记忆持久化机制以及内置的安全扫描功能，everything-claude-code 能显著提升 AI 在复杂任务中的表现，帮助开发者构建更稳定、更智能的生产级 AI 代理。其独特的“研究优先”开发理念和针对 Token 消耗的优化策略，使得模型响应更快、成本更低，同时有效防御潜在的攻击向量。\n\n这套工具特别适合软件开发者、AI 研究人员以及希望深度定制 AI 工作流的技术团队使用。无论您是在构建大型代码库，还是需要 AI 协助进行安全审计与自动化测试，everything-claude-code 都能提供强大的底层支持。作为一个曾荣获 Anthropic 黑客大奖的开源项目，它融合了多语言支持与丰富的实战钩子（hooks），让 AI 真正成长为懂上",144730,2,"2026-04-07T23:26:32",[14,13,35],"语言模型",{"id":37,"name":38,"github_repo":39,"description_zh":40,"stars":41,"difficulty_score":32,"last_commit_at":42,"category_tags":43,"status":17},2271,"ComfyUI","Comfy-Org\u002FComfyUI","ComfyUI 是一款功能强大且高度模块化的视觉 AI 引擎，专为设计和执行复杂的 Stable Diffusion 图像生成流程而打造。它摒弃了传统的代码编写模式，采用直观的节点式流程图界面，让用户通过连接不同的功能模块即可构建个性化的生成管线。\n\n这一设计巧妙解决了高级 AI 绘图工作流配置复杂、灵活性不足的痛点。用户无需具备编程背景，也能自由组合模型、调整参数并实时预览效果，轻松实现从基础文生图到多步骤高清修复等各类复杂任务。ComfyUI 拥有极佳的兼容性，不仅支持 Windows、macOS 和 Linux 全平台，还广泛适配 NVIDIA、AMD、Intel 及苹果 Silicon 等多种硬件架构，并率先支持 SDXL、Flux、SD3 等前沿模型。\n\n无论是希望深入探索算法潜力的研究人员和开发者，还是追求极致创作自由度的设计师与资深 AI 绘画爱好者，ComfyUI 都能提供强大的支持。其独特的模块化架构允许社区不断扩展新功能，使其成为当前最灵活、生态最丰富的开源扩散模型工具之一，帮助用户将创意高效转化为现实。",107888,"2026-04-06T11:32:50",[14,15,13],{"id":45,"name":46,"github_repo":47,"description_zh":48,"stars":49,"difficulty_score":32,"last_commit_at":50,"category_tags":51,"status":17},4721,"markitdown","microsoft\u002Fmarkitdown","MarkItDown 是一款由微软 AutoGen 团队打造的轻量级 Python 工具，专为将各类文件高效转换为 Markdown 格式而设计。它支持 PDF、Word、Excel、PPT、图片（含 OCR）、音频（含语音转录）、HTML 乃至 YouTube 链接等多种格式的解析，能够精准提取文档中的标题、列表、表格和链接等关键结构信息。\n\n在人工智能应用日益普及的今天，大语言模型（LLM）虽擅长处理文本，却难以直接读取复杂的二进制办公文档。MarkItDown 恰好解决了这一痛点，它将非结构化或半结构化的文件转化为模型“原生理解”且 Token 效率极高的 Markdown 格式，成为连接本地文件与 AI 分析 pipeline 的理想桥梁。此外，它还提供了 MCP（模型上下文协议）服务器，可无缝集成到 Claude Desktop 等 LLM 应用中。\n\n这款工具特别适合开发者、数据科学家及 AI 研究人员使用，尤其是那些需要构建文档检索增强生成（RAG）系统、进行批量文本分析或希望让 AI 助手直接“阅读”本地文件的用户。虽然生成的内容也具备一定可读性，但其核心优势在于为机器",93400,"2026-04-06T19:52:38",[52,14],"插件",{"id":54,"name":55,"github_repo":56,"description_zh":57,"stars":58,"difficulty_score":10,"last_commit_at":59,"category_tags":60,"status":17},4487,"LLMs-from-scratch","rasbt\u002FLLMs-from-scratch","LLMs-from-scratch 是一个基于 PyTorch 的开源教育项目，旨在引导用户从零开始一步步构建一个类似 ChatGPT 的大型语言模型（LLM）。它不仅是同名技术著作的官方代码库，更提供了一套完整的实践方案，涵盖模型开发、预训练及微调的全过程。\n\n该项目主要解决了大模型领域“黑盒化”的学习痛点。许多开发者虽能调用现成模型，却难以深入理解其内部架构与训练机制。通过亲手编写每一行核心代码，用户能够透彻掌握 Transformer 架构、注意力机制等关键原理，从而真正理解大模型是如何“思考”的。此外，项目还包含了加载大型预训练权重进行微调的代码，帮助用户将理论知识延伸至实际应用。\n\nLLMs-from-scratch 特别适合希望深入底层原理的 AI 开发者、研究人员以及计算机专业的学生。对于不满足于仅使用 API，而是渴望探究模型构建细节的技术人员而言，这是极佳的学习资源。其独特的技术亮点在于“循序渐进”的教学设计：将复杂的系统工程拆解为清晰的步骤，配合详细的图表与示例，让构建一个虽小但功能完备的大模型变得触手可及。无论你是想夯实理论基础，还是为未来研发更大规模的模型做准备",90106,"2026-04-06T11:19:32",[35,15,13,14],{"id":62,"github_repo":63,"name":64,"description_en":65,"description_zh":66,"ai_summary_zh":67,"readme_en":68,"readme_zh":69,"quickstart_zh":70,"use_case_zh":71,"hero_image_url":72,"owner_login":73,"owner_name":74,"owner_avatar_url":75,"owner_bio":76,"owner_company":77,"owner_location":77,"owner_email":78,"owner_twitter":77,"owner_website":79,"owner_url":80,"languages":81,"stars":106,"forks":107,"last_commit_at":108,"license":77,"difficulty_score":109,"env_os":110,"env_gpu":111,"env_ram":112,"env_deps":113,"category_tags":118,"github_topics":121,"view_count":32,"oss_zip_url":77,"oss_zip_packed_at":77,"status":17,"created_at":133,"updated_at":134,"faqs":135,"releases":171},5305,"stardustai\u002Fdataset-viewer","dataset-viewer","A sleek dataset viewer built entirely by AI Agent. Supports streaming large files from WebDAV, S3, SSH, Local or Hugging Face.","dataset-viewer 是一款由 AI 智能体全程构建的现代化数据集查看工具，旨在帮助用户轻松浏览和管理海量数据文件。它完美解决了传统编辑器在打开超大文件（如 100GB+）时卡顿、崩溃或无法预览压缩包内容的痛点。无论是本地硬盘，还是远程的 WebDAV、S3、SSH 服务器乃至 Hugging Face 平台，dataset-viewer 都能通过高效的流式传输技术，实现秒级打开大文件，并支持毫秒级的全文搜索与高亮显示。\n\n这款工具特别适合数据科学家、AI 研究人员、软件开发者以及需要频繁处理大规模数据集的技术人员使用。其独特的技术亮点在于无需解压即可直接预览 ZIP 或 TAR 归档文件内部内容，同时支持 Parquet、Excel、CSV、JSON 及多种编程代码文件的语法高亮展示。基于 Tauri、React 和 TypeScript 构建，dataset-viewer 不仅拥有流畅的虚拟滚动渲染性能，还提供了深色\u002F浅色主题切换和多语言支持的友好界面。无论你是需要快速检查训练数据，还是深入分析复杂日志，dataset-viewer 都能以轻盈的姿态，成为你探索数据世界的得","dataset-viewer 是一款由 AI 智能体全程构建的现代化数据集查看工具，旨在帮助用户轻松浏览和管理海量数据文件。它完美解决了传统编辑器在打开超大文件（如 100GB+）时卡顿、崩溃或无法预览压缩包内容的痛点。无论是本地硬盘，还是远程的 WebDAV、S3、SSH 服务器乃至 Hugging Face 平台，dataset-viewer 都能通过高效的流式传输技术，实现秒级打开大文件，并支持毫秒级的全文搜索与高亮显示。\n\n这款工具特别适合数据科学家、AI 研究人员、软件开发者以及需要频繁处理大规模数据集的技术人员使用。其独特的技术亮点在于无需解压即可直接预览 ZIP 或 TAR 归档文件内部内容，同时支持 Parquet、Excel、CSV、JSON 及多种编程代码文件的语法高亮展示。基于 Tauri、React 和 TypeScript 构建，dataset-viewer 不仅拥有流畅的虚拟滚动渲染性能，还提供了深色\u002F浅色主题切换和多语言支持的友好界面。无论你是需要快速检查训练数据，还是深入分析复杂日志，dataset-viewer 都能以轻盈的姿态，成为你探索数据世界的得力助手。","\u003Cdiv align=\"center\">\n\n# Dataset Viewer\n\n**⚡ Open massive files in seconds · 🔍 Millisecond search · 📦 Direct archive preview**\n\n[![GitHub release](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Frelease\u002Fstardustai\u002Fdataset-viewer.svg)](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Flatest) [![License: MIT](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-MIT-yellow.svg)](https:\u002F\u002Fopensource.org\u002Flicenses\u002FMIT) [![Platform](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fplatform-Windows%20%7C%20macOS%20%7C%20Linux-lightgrey)](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases) [![AI Generated](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F100%25-AI%20Generated-blue)](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer) [![zread](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FAsk_Zread-_.svg?style=flat&color=00b0aa&labelColor=000000&logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPHN2ZyB3aWR0aD0iMTYiIGhlaWdodD0iMTYiIHZpZXdCb3g9IjAgMCAxNiAxNiIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQuOTYxNTYgMS42MDAxSDIuMjQxNTZDMS44ODgxIDEuNjAwMSAxLjYwMTU2IDEuODg2NjQgMS42MDE1NiAyLjI0MDFWNC45NjAxQzEuNjAxNTYgNS4zMTM1NiAxLjg4ODEgNS42MDAxIDIuMjQxNTYgNS42MDAxSDQuOTYxNTZDNS4zMTUwMiA1LjYwMDEgNS42MDE1NiA1LjMxMzU2IDUuNjAxNTYgNC45NjAxVjIuMjQwMUM1LjYwMTU2IDEuODg2NjQgNS4zMTUwMiAxLjYwMDEgNC45NjE1NiAxLjYwMDFaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00Ljk2MTU2IDEwLjM5OTlIMi4yNDE1NkMxLjg4ODEgMTAuMzk5OSAxLjYwMTU2IDEwLjY4NjQgMS42MDE1NiAxMS4wMzk5VjEzLjc1OTlDMS42MDE1NiAxNC4xMTM0IDEuODg4MSAxNC4zOTk5IDIuMjQxNTYgMTQuMzk5OUg0Ljk2MTU2QzUuMzE1MDIgMTQuMzk5OSA1LjYwMTU2IDE0LjExMzQgNS42MDE1NiAxMy43NTk5VjExLjAzOTlDNS42MDE1NiAxMC42ODY0IDUuMzE1MDIgMTAuMzk5OSA0Ljk2MTU2IDEwLjM5OTlaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik0xMy43NTg0IDEuNjAwMUgxMS4wMzg0QzEwLjY4NSAxLjYwMDEgMTAuMzk4NCAxLjg4NjY0IDEwLjM5ODQgMi4yNDAxVjQuOTYwMUMxMC4zOTg0IDUuMzEzNTYgMTAuNjg1IDUuNjAwMSAxMS4wMzg0IDUuNjAwMUgxMy43NTg0QzE0LjExMTkgNS42MDAxIDE0LjM5ODQgNS4zMTM1NiAxNC4zOTg0IDQuOTYwMVYyLjI0MDFDMTQuMzk4NCAxLjg4NjY0IDE0LjExMTkgMS42MDAxIDEzLjc1ODQgMS42MDAxWiIgZmlsbD0iI2ZmZiIvPgo8cGF0aCBkPSJNNCAxMkwxMiA0TDQgMTJaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00IDEyTDEyIDQiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIxLjUiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIvPgo8L3N2Zz4K&logoColor=ffffff)](https:\u002F\u002Fzread.ai\u002Fstardustai\u002Fdataset-viewer)\n\nA modern, high-performance dataset viewer built with Tauri, React, and TypeScript. Designed to handle massive datasets from multiple sources with efficient streaming for large files (100GB+) and lightning-fast search capabilities.\n\n[中文文档](README_zh.md) · [Download](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Flatest) · [Report Bug](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Fissues) · [Request Feature](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Fissues)\n\n\u003C\u002Fdiv>\n\n\n\n## 🚀 Key Features\n\n- ⚡ **Instant Large File Opening**: Handle 100GB+ files with virtualized rendering\n- 🔍 **Real-time Search**: Millisecond search with highlighting across massive files\n- 📦 **Direct Archive Preview**: Browse ZIP\u002FTAR files without extraction\n- 🌐 **Multi-Protocol Support**: WebDAV, SSH\u002FSFTP, SMB\u002FCIFS, S3, Local Files, HuggingFace Hub\n- 🗂️ **Multi-Format Support**: Parquet, Excel, CSV, JSON, code files with syntax highlighting\n- 🎨 **Modern Interface**: Dark\u002Flight themes, responsive design, multi-language support\n\n## 📚 Supported File Types\n\n- **📄 Text & Code**: JSON, YAML, XML, JavaScript, Python, Java, C\u002FC++, Rust, Go, PHP, etc.\n- **📝 Documents**: Markdown (preview), Word (.docx\u002F.rtf), PowerPoint (.pptx), PDF (searchable)\n- **📊 Data Files**: Parquet (optimized), Excel, CSV, ODS with virtual scrolling\n- **📦 Archives**: ZIP, TAR (streaming preview without extraction)\n- **📱 Media**: Images, Videos, Audio files\n\n## 📸 Screenshots\n\n\u003Cdiv align=\"center\">\n\u003Ctable width=\"100%\">\n  \u003Ctr>\n    \u003Ctd align=\"center\" width=\"50%\">\n      \u003Cb>🔗 Connection Setup\u003C\u002Fb>\u003Cbr>\n      \u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fstardustai_dataset-viewer_readme_2c24549e6853.png\" alt=\"Connection Setup\" style=\"max-width:100%;\">\n      \u003Cbr>\u003Cem>Easy connection management with multiple storage types\u003C\u002Fem>\n    \u003C\u002Ftd>\n    \u003Ctd align=\"center\" width=\"50%\">\n      \u003Cb>📊 JSON Viewer\u003C\u002Fb>\u003Cbr>\n      \u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fstardustai_dataset-viewer_readme_42a1ac01a58c.png\" alt=\"JSON Viewer\" style=\"max-width:100%;\">\n      \u003Cbr>\u003Cem>Structured JSON display with syntax highlighting and collapsible nodes\u003C\u002Fem>\n    \u003C\u002Ftd>\n  \u003C\u002Ftr>\n  \u003Ctr>\n    \u003Ctd align=\"center\" width=\"50%\">\n      \u003Cb>💻 Code Viewer\u003C\u002Fb>\u003Cbr>\n      \u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fstardustai_dataset-viewer_readme_b910b641aba7.png\" alt=\"Code Viewer\" style=\"max-width:100%;\">\n      \u003Cbr>\u003Cem>Multi-language syntax highlighting with large file support\u003C\u002Fem>\n    \u003C\u002Ftd>\n    \u003Ctd align=\"center\" width=\"50%\">\n      \u003Cb>📋 Data Sheets\u003C\u002Fb>\u003Cbr>\n      \u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fstardustai_dataset-viewer_readme_2ad7ebee3e48.png\" alt=\"Data Sheets\" style=\"max-width:100%;\">\n      \u003Cbr>\u003Cem>CSV\u002FExcel visualization with filtering and sorting capabilities\u003C\u002Fem>\n    \u003C\u002Ftd>\n  \u003C\u002Ftr>\n  \u003Ctr>\n    \u003Ctd align=\"center\" width=\"50%\">\n      \u003Cb>🌐 Point Cloud Viewer\u003C\u002Fb>\u003Cbr>\n      \u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fstardustai_dataset-viewer_readme_3f8a2d8b5108.png\" alt=\"Point Cloud Viewer\" style=\"max-width:100%;\">\n      \u003Cbr>\u003Cem>Interactive 3D point cloud data visualization\u003C\u002Fem>\n    \u003C\u002Ftd>\n    \u003Ctd align=\"center\" width=\"50%\">\n      \u003Cb>📦 Archive Browser\u003C\u002Fb>\u003Cbr>\n      \u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fstardustai_dataset-viewer_readme_43ad8b590a07.png\" alt=\"Archive Browser\" style=\"max-width:100%;\">\n      \u003Cbr>\u003Cem>Browse ZIP\u002FTAR archives without extraction\u003C\u002Fem>\n    \u003C\u002Ftd>\n  \u003C\u002Ftr>\n\u003C\u002Ftable>\n\u003C\u002Fdiv>\n\n## ✨ Technical Highlights\n\n- 🤖 **100% AI-Generated**: Entire codebase created through AI assistance\n- 🚀 **Native Performance**: Tauri (Rust) + React, cross-platform desktop app\n- 🧠 **Smart Memory**: Chunked loading, virtual scrolling for millions of rows\n- 📊 **Streaming Architecture**: Large file chunked transmission, no full extraction needed\n\n## 🎯 Perfect For\n\n- **Data Scientists**: Explore large datasets, Parquet files, and CSV data\n- **Log Analysis**: Search massive log files without memory constraints\n- **Archive Management**: Browse compressed files without extraction\n- **Remote Access**: Connect to WebDAV, SSH\u002FSFTP, SMB, cloud storage, HuggingFace\n- **Performance-Critical**: Instant file access and lightning-fast search\n\n## 🔌 Plugin Development\n\nExtend Dataset Viewer's capabilities by creating custom plugins! Our plugin system allows you to add support for new file formats and viewers.\n\n- 📖 **[Plugin Development Guide (Wiki)](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Fwiki\u002FPlugin-Development-Guide)** - Complete guide to building plugins\n- 📦 **[@dataset-viewer\u002Fsdk](https:\u002F\u002Fwww.npmjs.com\u002Fpackage\u002F@dataset-viewer\u002Fsdk)** - Official SDK for plugin development\n- 🎨 **[Example Plugins](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Ftree\u002Fmain\u002Fpackages)** - CAD Viewer, Sketch Viewer, and more\n\nGet started with our SDK and create plugins for:\n- Custom file format viewers\n- Data converters and analyzers\n- Integration with external tools\n- Enhanced visualization components\n\n## 🤝 Contributing\n\nWe welcome contributions! You can help by:\n\n- 🐛 [Reporting bugs](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Fissues) with clear reproduction steps\n- 💡 [Suggesting features](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Fissues) and explaining their usefulness\n- 🔧 Submitting code: Fork → Branch → Changes → PR\n- 🔌 Creating plugins to extend functionality\n- 📖 Improving documentation and examples\n- ⭐ Starring the repository to show support\n\n## 🙏 Acknowledgments\n\nThanks to the **Tauri**, **React**, and **Rust** communities for their excellent tools and frameworks. This project showcases the power of AI-assisted development.\n\n## 📄 License\n\nThis project is licensed under the **MIT License** - see the [LICENSE](LICENSE) file for details.\n\n---\n\n\u003Cdiv align=\"center\">\n\n**Made with ❤️ and 🤖 AI**\n\n\u003C\u002Fdiv>\n","\u003Cdiv align=\"center\">\n\n# 数据集查看器\n\n**⚡ 秒级打开超大文件 · 🔍 毫秒级搜索 · 📦 直接预览压缩包**\n\n[![GitHub 发布](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Frelease\u002Fstardustai\u002Fdataset-viewer.svg)](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Flatest) [![许可证：MIT](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-MIT-yellow.svg)](https:\u002F\u002Fopensource.org\u002Flicenses\u002FMIT) [![平台](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fplatform-Windows%20%7C%20macOS%20%7C%20Linux-lightgrey)](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases) [![AI 生成](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F100%25-AI%20Generated-blue)](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer) [![zread](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FAsk_Zread-_.svg?style=flat&color=00b0aa&labelColor=000000&logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPHN2ZyB3aWR0aD0iMTYiIGhlaWdodD0iMTYiIHZpZXdCb3g9IjAgMCAxNiAxNiIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQuOTYxNTYgMS42MDAxSDIuMjQxNTZDMS44ODgxIDEuNjAwMSAxLjYwMTU2IDEuODg2NjQgMS42MDE1NiAyLjI0MDFWNC45NjAxQzEuNjAxNTYgNS4zMTM1NiAxLjg4ODEgNS42MDAxIDIuMjQxNTYgNS42MDAxSDQuOTYxNTZDNS5zMTUwMiA1LjYwMDEgNS42MDE1NiA1LjMxMzU2IDUuNjAxNTYgNC45NjAxVjIuMjQwMUM1LjYwMTU2IDEuODg2NjQgNS5zMTUwMiAxLjYwMDEgNC45NjE1NiAxLjYwMDFaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00Ljk2MTU2IDEwLjM5OTlIMi4yNDE1NkMxLjg4ODEgMTAuMzk5OSAxLjYwMTU2IDEwLjY4NjQgMS42MDE1NiAxMS4wMzk5VjEzLjc1OTlDMS42MDE1NiAxNC4xMTM0IDEuODg4MSAxNC4zOTk5IDIuMjQxNTYgMTQuMzk5OUH0Ljk6MTU2QzUuMzE1MDIgMTQuMzk9OSA1LjYwMTU2IDE0LjExMzQgNS5zMTUwMiAxMC4zTk9OSA0Ljk6MTU2IDEwLjM5OTNaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik0xMy43NTg0IDEuNjAwMUgxMS.0M3g4QzE0LjY8NSIDEuNjAwDEgE0LjM984CAEjLjg8NjY4IDEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984CAEjLjM984......\u003Cdiv align=\"center\">\n\n# 数据集查看器\n\n**⚡ 秒级打开超大文件 · 🔍 毫秒级搜索 · 📦 直接预览压缩包**\n\n[![GitHub 发布](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Frelease\u002Fstardustai\u002Fdataset-viewer.svg)](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Flatest) [![许可证：MIT](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-MIT-yellow.svg)](https:\u002F\u002Fopensource.org\u002Flicenses\u002FMIT) [![平台](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fplatform-Windows%20%7C%20macOS%20%7C%20Linux-lightgrey)](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases) [![AI 生成](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F100%25-AI%20Generated-blue)](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer) [![zread](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FAsk_Zread-_.svg?style=flat&color=00b0aa&labelColor=000000&logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPHN2ZyB3aWR0aD0iMTYiIGhlaWdodD0iMTYiIHZpZXdCb3g9IjAgMCAxNiAxNiIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQuOTYxNTYgMS42MDAxSDIuMjQxNTZDMS44ODgxIDEuNjAwMSAxLjYwMTU2IDEuODg2NjQgMS42MDE1NiAyLjI0MDFWNC45NjAxQzEuNjAxNTYgNS4zMTM1NiAxLjg4ODEgNS42MDAxIDIuMjQxNTYgNS42MDAxSDQuOTYxNTZDNS5zMTUwMiA1LjYwMDEgNS42MDE1NiA1LjMxMzU2IDUuNjAxNTYgNC45NjAxVjIuMjQwMUM1LjYwMTU2IDEuODg2NjQgNS5zMTUwMiAxLjYwMDEgNC45NjE1NiAxLjYwMDFaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00Ljk2MTU2IDEwLjM5OTlIMi4yNDE1NkMxLjg4ODEgMTAuMzk5OSAxLjYwMTU2IDEwLjY4NjQgMS42MDE1NiAxMS.0Mzk5VjEzLjc1OTlDMS42MDE1NiAxNC4xMTM0IDEuODg4MSAxNC4zOTk5IDIuMjQxNTYgMTQuMzk5OUH4Ljk6MTU2QzUuMzE1MDIgMTQuMzk9OSA1LjYwMTU2IDE0LjExMzQgNS56MDE1NiAxMy7599VjEXL.0Mzk99DNS56MDE1NiAxMC46ODY0ID5uMzE1MDIgMTAuMzk9OSA0L.j6156g 10.3999LaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik0xMy7584g IDEuNjAwMUgxLS.0M384gCzE0L.685g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M3984g IDEuNjAwMEgE0L.M398......\n\n## 🤝 贡献\n\n我们欢迎各种形式的贡献！你可以通过以下方式帮助我们：\n\n- 🐛 [报告 bug](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Fissues)，并提供清晰的复现步骤\n- 💡 [提出功能建议](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Fissues)，并说明其价值和用途\n- 🔧 提交代码：Fork → 分支 → 修改 → Pull Request\n- 🔌 创建插件以扩展功能\n- 📖 改进文档和示例\n- ⭐ 为本仓库加星，以表示支持\n\n## 🙏 致谢\n\n感谢 **Tauri**、**React** 和 **Rust** 社区提供的优秀工具和框架。本项目展示了 AI 辅助开发的强大能力。\n\n## 📄 许可证\n\n本项目采用 **MIT 许可证** 许可——详情请参阅 [LICENSE](LICENSE) 文件。\n\n---\n\n\u003Cdiv align=\"center\">\n\n**用心与 AI 机器人共同打造**\n\n\u003C\u002Fdiv>","# Dataset Viewer 快速上手指南\n\nDataset Viewer 是一款基于 Tauri、React 和 TypeScript 构建的高性能数据集查看器。它专为处理海量数据设计，支持秒级打开 100GB+ 大文件、毫秒级搜索以及无需解压直接预览压缩包。\n\n## 🛠️ 环境准备\n\n在开始之前，请确保您的系统满足以下要求：\n\n*   **操作系统**：Windows、macOS 或 Linux。\n*   **硬件建议**：虽然软件针对大文件进行了优化，但处理超大规模数据集时，建议拥有足够的内存（RAM）以获得最佳体验。\n*   **前置依赖**：\n    *   本工具提供预编译的二进制安装包，**普通用户无需安装任何开发环境依赖**即可直接使用。\n    *   若您计划进行插件开发或源码编译，则需要安装 `Node.js`、`Rust` 和 `Tauri CLI`。\n\n## 📥 安装步骤\n\n推荐直接下载官方发布的预编译版本进行安装，这是最快捷的方式。\n\n### 方式一：下载预编译包（推荐）\n\n访问 [GitHub Releases](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Flatest) 页面，根据您的操作系统下载对应的安装包：\n\n*   **Windows**: 下载 `.exe` 或 `.msi` 文件。\n*   **macOS**: 下载 `.dmg` 文件（Intel\u002FApple Silicon 通用）。\n*   **Linux**: 下载 `.AppImage`、`.deb` (Debian\u002FUbuntu) 或 `.rpm` (Fedora\u002FRHEL) 文件。\n\n下载完成后，运行安装程序并按照提示完成安装。\n\n> **💡 国内加速提示**：如果 GitHub 下载速度较慢，您可以尝试使用国内镜像站（如 Gitee 镜像，若有）或通过代理工具加速下载链接。\n\n### 方式二：从源码构建（仅限开发者）\n\n如果您需要自定义构建或贡献代码，请使用以下命令：\n\n```bash\n# 克隆仓库\ngit clone https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer.git\ncd dataset-viewer\n\n# 安装依赖\nnpm install\n\n# 启动开发模式\nnpm run tauri dev\n\n# 构建生产版本\nnpm run tauri build\n```\n\n## 🚀 基本使用\n\n安装完成后，启动 Dataset Viewer 即可开始高效浏览数据。\n\n### 1. 连接数据源\n启动应用后，您将在主界面看到连接设置面板。Dataset Viewer 支持多种数据源协议：\n*   **本地文件**：直接拖拽文件或点击 \"Local Files\" 浏览本地目录。\n*   **远程存储**：支持 WebDAV, SSH\u002FSFTP, SMB\u002FCIFS, AWS S3 以及 HuggingFace Hub。\n    *   选择对应的协议标签页。\n    *   输入主机地址、端口、用户名和密码（或 Access Key）。\n    *   点击 **Connect** 建立连接。\n\n### 2. 浏览与预览\n连接成功后，文件列表将展示在左侧栏：\n*   **直接预览压缩包**：双击 `.zip` 或 `.tar` 文件，无需解压即可直接浏览内部文件结构。\n*   **大文件加载**：打开超过 100GB 的日志文件或数据集，软件将通过虚拟滚动技术瞬间加载，不会占用大量内存。\n\n### 3. 查看特定格式\n点击任意文件即可查看内容，软件会自动识别格式并渲染：\n*   **代码文件** (`.py`, `.js`, `.rs` 等)：自动应用语法高亮。\n*   **数据文件** (`.csv`, `.parquet`, `.xlsx`)：以表格形式展示，支持排序和过滤。\n*   **JSON\u002FYAML**：提供可折叠的树状结构视图。\n*   **3D 点云**：支持交互式 3D 可视化。\n\n### 4. 毫秒级搜索\n在顶部搜索栏输入关键词：\n*   软件将在当前文件（即使是百 GB 级别）中进行实时搜索。\n*   匹配项会立即高亮显示，并支持快速跳转。\n\n---\n*现在您可以尽情探索海量数据，享受流畅的查看体验了！*","某自动驾驶算法团队需要快速审查存储在 AWS S3 上的 200GB 传感器日志（Parquet 格式）和压缩标注数据，以定位模型训练中的异常点。\n\n### 没有 dataset-viewer 时\n- **等待时间过长**：必须先将数百 GB 的文件从云端完整下载到本地才能打开，耗时数小时且占用大量磁盘空间。\n- **无法直接预览压缩包**：查看 ZIP\u002FTAR 包内的具体标注文件前，不得不先手动解压整个归档，流程繁琐且易出错。\n- **检索效率极低**：在超大文本或数据文件中搜索特定错误代码时，传统编辑器往往卡死或响应延迟高达数秒。\n- **格式支持受限**：缺乏对 Parquet 等专业数据格式的原生支持，需编写额外的 Python 脚本转换格式后才能查看。\n\n### 使用 dataset-viewer 后\n- **秒级流式加载**：直接通过 S3 协议连接，利用虚拟渲染技术瞬间打开 200GB+ 文件，无需下载即可流畅滚动浏览。\n- **归档免解压预览**：直接双击进入 ZIP\u002FTAR 包内部查看任意子文件，像操作普通文件夹一样高效便捷。\n- **毫秒级实时搜索**：即使在海量数据中检索关键词，也能实现毫秒级响应并高亮显示结果，彻底告别卡顿。\n- **多格式原生支持**：内置对 Parquet、Excel 及多种代码文件的完美解析，配合语法高亮让数据审查一目了然。\n\ndataset-viewer 通过流式处理和免解压预览技术，将原本需要数小时的数据准备与排查工作压缩至分钟级，极大提升了大规模数据集的迭代效率。","https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fstardustai_dataset-viewer_2c24549e.png","stardustai","Stardust.ai","https:\u002F\u002Foss.gittoolsai.com\u002Favatars\u002Fstardustai_f0082291.png","Cloud data annotation service for AI",null,"contacts@stardust.ai","https:\u002F\u002Fstardust.ai","https:\u002F\u002Fgithub.com\u002Fstardustai",[82,86,90,94,98,102],{"name":83,"color":84,"percentage":85},"TypeScript","#3178c6",69.2,{"name":87,"color":88,"percentage":89},"Rust","#dea584",30.1,{"name":91,"color":92,"percentage":93},"CSS","#663399",0.4,{"name":95,"color":96,"percentage":97},"HTML","#e34c26",0.2,{"name":99,"color":100,"percentage":101},"JavaScript","#f1e05a",0.1,{"name":103,"color":104,"percentage":105},"Shell","#89e051",0,659,44,"2026-04-04T16:09:24",1,"Windows, macOS, Linux","未说明","未说明（支持虚拟滚动和分块加载以优化大文件内存占用）",{"notes":114,"python":111,"dependencies":115},"该工具是基于 Tauri、React 和 TypeScript 构建的跨平台桌面应用程序，并非 Python 库。它专为处理超大文件（100GB+）设计，采用流式架构和虚拟渲染技术，无需解压即可预览 ZIP\u002FTAR 归档文件。支持多种远程协议（WebDAV, SSH\u002FSFTP, SMB, S3, HuggingFace Hub）。代码库由 AI 生成。",[116,117,83],"Tauri (Rust)","React",[119,120,13,15,14,35],"音频","视频",[122,123,124,125,126,127,128,129,130,131,132],"tauri","text","viewer","webdav","ai","huggingface","s3","file-streaming","smb","ssh","vibe-coding","2026-03-27T02:49:30.150509","2026-04-08T10:02:41.881335",[136,141,146,151,156,161,166],{"id":137,"question_zh":138,"answer_zh":139,"source_url":140},24056,"在 Windows 上打开文件失败或报错怎么办？","该问题在旧版本（特别是 1.5.0 及之前）的 Windows 平台上存在兼容性缺陷。请升级至 1.6.4 或更高版本，该版本已完全修复普通文件的查看问题。如果是压缩包内文件预览失败，建议关注后续更新或尝试使用 1.6.2 及以上版本。","https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Fissues\u002F57",{"id":142,"question_zh":143,"answer_zh":144,"source_url":145},24057,"macOS (Apple Silicon) 提示安装包“已损坏”无法打开如何解决？","这是 macOS 的安全机制拦截所致。虽然软件依赖系统 WebView 可能存在部分兼容性问题，但通常可以通过以下方式解决：在终端运行 `sudo xattr -rd com.apple.quarantine \u002FApplications\u002FDataset\\ Viewer.app` 命令移除隔离属性，或者在“系统设置”->“隐私与安全性”中点击“仍要打开”。","https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Fissues\u002F34",{"id":147,"question_zh":148,"answer_zh":149,"source_url":150},24058,"连接 WebDAV (如 FileRun) 时显示目录为空怎么办？","这是一个已知的兼容性 Bug，导致软件能连接但无法列出文件内容。该问题已在后续的发布版本中修复。如果遇到此情况，请检查并升级到最新版本的 Dataset Viewer。","https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Fissues\u002F46",{"id":152,"question_zh":153,"answer_zh":154,"source_url":155},24059,"Windows 安装后 .bat 批处理文件无法执行或被错误关联怎么办？","旧版本（如 1.3.0）曾错误地修改了注册表关联。请首先尝试升级到 1.3.1 或更高版本，新版已移除此行为。若卸载后问题依旧，需手动清理注册表。以管理员身份运行 PowerShell，执行以下命令恢复 .bat 关联：\n\n$currentAssoc = Get-ItemProperty \"HKCU:\\Software\\Classes\\.bat\" -Name \"(default)\" -ErrorAction SilentlyContinue\nif ($currentAssoc.'(default)' -eq \"DatasetViewer.File\") {\n    Remove-Item \"HKCU:\\Software\\Classes\\.bat\" -Force\n    Write-Host \".bat 文件关联已清理\" -ForegroundColor Green\n}\n\n如需恢复所有被关联的文件类型，可下载官方提供的完整清理脚本运行。","https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Fissues\u002F31",{"id":157,"question_zh":158,"answer_zh":159,"source_url":160},24060,"CSV 文件打开乱码或编码识别错误如何处理？","在 1.5.0 之前的版本中可能需要手动干预，但从 1.5.0 版本开始，软件已经支持自动识别 CSV 文件的编码格式。请将软件更新至 1.5.0 或更高版本即可解决大部分编码问题。","https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Fissues\u002F48",{"id":162,"question_zh":163,"answer_zh":164,"source_url":165},24061,"软件是否支持直接编辑或修改数据文件？","目前暂时没有支持文件编辑的计划。虽然对小文件进行修改的技术实现并不复杂，但为了保持对大型数据集的高性能兼容和稳定性，当前版本定位为查看器，不支持写入或修改操作。","https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Fissues\u002F30",{"id":167,"question_zh":168,"answer_zh":169,"source_url":170},24062,"未来会支持 JSON 字段的统计分析功能吗？","是的，开发团队已经考虑到此类需求（如查看字段取值集合、统计量等），并计划在未来的版本中加入针对 JSON 数据的增强处理能力。","https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Fissues\u002F53",[172,177,182,187,192,197,202,207,212,217,222,227,232,237,242,247,252,257,262,267],{"id":173,"version":174,"summary_zh":175,"released_at":176},145633,"v1.6.4","## 🐛 修复\n\n- 修复(protocol_handler): 重构响应构建器，以实现一致的 HTTP 版本处理\n\n## 📦 其他\n\n- 版本升级至 1.6.4\n\n\n\n### 💾 下载\n\n| 平台 | 下载 |\n|----------|----------|\n| macOS (Apple Silicon) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.4\u002FDataset.Viewer_1.6.4_aarch64.dmg) |\n| macOS (Intel) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.4\u002FDataset.Viewer_1.6.4_x64.dmg) |\n| Windows x64 | [下载 MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.4\u002FDatasetViewer_1.6.4_x64_en-US.msi) |\n| Linux (AppImage) | [下载 AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.4\u002FDataset.Viewer_1.6.4_amd64.AppImage) |\n\n### 🔧 安装\n\n- **macOS**: 下载 DMG → 拖拽到 Applications 文件夹 → 执行：`sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**: 下载 MSI → 运行安装程序\n- **Linux (AppImage)**: `chmod +x \"Dataset Viewer_\"*.AppImage` → 运行\n","2025-10-17T07:04:40",{"id":178,"version":179,"summary_zh":180,"released_at":181},145634,"v1.6.3","## 🐛 修复\n\n- 修复(protocol_handler)：改进本地路径和查询参数的 URL 处理\n\n## 📦 其他\n\n- 版本升级至 1.6.3\n\n\n\n### 💾 下载\n\n| 平台 | 下载 |\n|----------|----------|\n| macOS (Apple Silicon) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.3\u002FDataset.Viewer_1.6.3_aarch64.dmg) |\n| macOS (Intel) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.3\u002FDataset.Viewer_1.6.3_x64.dmg) |\n| Windows x64 | [下载 MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.3\u002FDatasetViewer_1.6.3_x64_en-US.msi) |\n| Linux (AppImage) | [下载 AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.3\u002FDataset.Viewer_1.6.3_amd64.AppImage) |\n\n### 🔧 安装\n\n- **macOS**: 下载 DMG → 拖拽到“应用程序”文件夹 → 执行命令：`sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**: 下载 MSI → 运行安装程序\n- **Linux (AppImage)**: `chmod +x \"Dataset Viewer_\"*.AppImage` → 运行\n","2025-10-17T06:08:08",{"id":183,"version":184,"summary_zh":185,"released_at":186},145635,"v1.6.2","## 🐛 修复\n\n- 修复：自定义协议 URL 在 Windows 上文件访问失败的问题 (#59)\n\n## 📦 其他\n\n- 版本升级至 1.6.2\n\n\n\n### 💾 下载\n\n| 平台 | 下载 |\n|----------|----------|\n| macOS (Apple Silicon) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.2\u002FDataset.Viewer_1.6.2_aarch64.dmg) |\n| macOS (Intel) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.2\u002FDataset.Viewer_1.6.2_x64.dmg) |\n| Windows x64 | [下载 MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.2\u002FDatasetViewer_1.6.2_x64_en-US.msi) |\n| Linux (AppImage) | [下载 AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.2\u002FDataset.Viewer_1.6.2_amd64.AppImage) |\n\n### 🔧 安装\n\n- **macOS**: 下载 DMG → 拖拽到 Applications 文件夹 → 执行命令：`sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**: 下载 MSI → 运行安装程序\n- **Linux (AppImage)**: `chmod +x \"Dataset Viewer_\"*.AppImage` → 运行\n","2025-10-16T16:20:58",{"id":188,"version":189,"summary_zh":190,"released_at":191},145636,"v1.6.1","## 🚀 功能\n\n- feat: 优化点云解析和渲染性能 (#56)\n\n## 🐛 修复\n\n- fix(pcd-viewer): 实例缓存类型\n\n## 📦 其他\n\n- 版本升级至 1.6.1\n\n\n\n### 💾 下载\n\n| 平台 | 下载 |\n|----------|----------|\n| macOS (Apple Silicon) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.1\u002FDataset.Viewer_1.6.1_aarch64.dmg) |\n| macOS (Intel) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.1\u002FDataset.Viewer_1.6.1_x64.dmg) |\n| Windows x64 | [下载 MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.1\u002FDatasetViewer_1.6.1_x64_en-US.msi) |\n| Linux (AppImage) | [下载 AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.1\u002FDataset.Viewer_1.6.1_amd64.AppImage) |\n\n### 🔧 安装\n\n- **macOS**: 下载 DMG → 拖拽到 Applications 文件夹 → 执行：`sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**: 下载 MSI → 运行安装程序\n- **Linux (AppImage)**: `chmod +x \"Dataset Viewer_\"*.AppImage` → 运行\n","2025-10-05T12:26:41",{"id":193,"version":194,"summary_zh":195,"released_at":196},145637,"v1.6.0","\u003Cpicture>\n  \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F4ec0188a-1c61-4276-a63e-030f32784727\" \u002F>\n  \u003Csource media=\"(prefers-color-scheme: light)\" srcset=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F6493740f-fde3-432c-9d39-0cdac866ba0d\" \u002F>\n  \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F6493740f-fde3-432c-9d39-0cdac866ba0d\" \u002F>\n\u003C\u002Fpicture>\n\n## 🚀 功能\n\n- 新增：支持多个插件，用户可选择打开方式 (#54)\n- 新增：添加网格文件视图 (#55)\n\n## 🐛 修复\n\n- 修复：清理 OSS 适配器中的 bucket 字段，并优化连接名称显示\n\n## 📦 其他\n\n- 文档：在 README 文件中新增插件开发章节\n- 版本升级至 1.6.0\n\n\n\n### 💾 下载\n\n| 平台 | 下载 |\n|----------|----------|\n| macOS (Apple Silicon) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.0\u002FDataset.Viewer_1.6.0_aarch64.dmg) |\n| macOS (Intel) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.0\u002FDataset.Viewer_1.6.0_x64.dmg) |\n| Windows x64 | [下载 MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.0\u002FDatasetViewer_1.6.0_x64_en-US.msi) |\n| Linux (AppImage) | [下载 AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.0\u002FDataset.Viewer_1.6.0_amd64.AppImage) |\n\n### 🔧 安装\n\n- **macOS**：下载 DMG → 拖拽到 Applications 文件夹 → 执行命令：`sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**：下载 MSI → 运行安装程序\n- **Linux (AppImage)**：`chmod +x \"Dataset Viewer_\"*.AppImage` → 运行\n","2025-09-30T10:34:54",{"id":198,"version":199,"summary_zh":200,"released_at":201},145638,"v1.6.0-beta.1","## 🐛 修复\n\n- 修复：绝对路径的本地协议处理\n\n## 📦 其他\n\n- 版本升级至 1.6.0-beta.1\n\n\n\n### 💾 下载\n\n| 平台 | 下载 |\n|----------|----------|\n| macOS (Apple Silicon) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.0-beta.1\u002FDataset.Viewer_1.6.0-beta.1_aarch64.dmg) |\n| macOS (Intel) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.0-beta.1\u002FDataset.Viewer_1.6.0-beta.1_x64.dmg) |\n| Windows x64 | [下载 MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.0-beta.1\u002FDatasetViewer_1.6.0-1_x64_en-US.msi) |\n| Linux (AppImage) | [下载 AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.0-beta.1\u002FDataset.Viewer_1.6.0-beta.1_amd64.AppImage) |\n\n### 🔧 安装\n\n- **macOS**: 下载 DMG → 拖拽到 Applications 文件夹 → 执行命令：`sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**: 下载 MSI → 运行安装程序\n- **Linux (AppImage)**: `chmod +x \"Dataset Viewer_\"*.AppImage` → 运行\n","2025-09-30T03:28:27",{"id":203,"version":204,"summary_zh":205,"released_at":206},145639,"v1.6.0-beta.0","## 🚀 功能\n\n- feat: 增强了 tar.gz 处理器\n- feat: 实现 CSV 流式加载和缓存管理 (#52)\n\n## 📦 其他\n\n- refactor: 引入 ProtocolHandler 工具类用于处理文件请求 (#50)\n- refactor: 将 StorageServiceManager 替换为 Zustand 状态管理库 (#51)\n- chore: 移除未使用或冗余的 i18n 键\n- 版本升级至 1.6.0-beta.0\n\n\n\n### 💾 下载\n\n| 平台 | 下载 |\n|----------|----------|\n| macOS (Apple Silicon) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.0-beta.0\u002FDataset.Viewer_1.6.0-beta.0_aarch64.dmg) |\n| macOS (Intel) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.0-beta.0\u002FDataset.Viewer_1.6.0-beta.0_x64.dmg) |\n| Windows x64 | [下载 MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.0-beta.0\u002FDatasetViewer_1.6.0-0_x64_en-US.msi) |\n| Linux (AppImage) | [下载 AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.6.0-beta.0\u002FDataset.Viewer_1.6.0-beta.0_amd64.AppImage) |\n\n### 🔧 安装\n\n- **macOS**: 下载 DMG → 拖拽到 Applications 文件夹 → 执行：`sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**: 下载 MSI → 运行安装程序\n- **Linux (AppImage)**: `chmod +x \"Dataset Viewer_\"*.AppImage` → 运行\n","2025-09-23T08:01:51",{"id":208,"version":209,"summary_zh":210,"released_at":211},145640,"v1.5.0","\u003Cpicture>\n  \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F9bfe67d2-4fb5-4481-b2bd-37e7ea52b98f\" \u002F>\n  \u003Csource media=\"(prefers-color-scheme: light)\" srcset=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F93fbb174-7377-4811-ab7f-8b7f3ca87320\" \u002F>\n  \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F93fbb174-7377-4811-ab7f-8b7f3ca87320\" \u002F>\n\u003C\u002Fpicture>\n\n\u003Cpicture>\n  \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F4bba608b-e1a3-4d1c-bd43-2863246e777c\" \u002F>\n  \u003Csource media=\"(prefers-color-scheme: light)\" srcset=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F90095bff-88a1-4559-a8ea-a5deffaa535d\" \u002F>\n  \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F90095bff-88a1-4559-a8ea-a5deffaa535d\" \u002F>\n\u003C\u002Fpicture>\n\n\n## 🚀 功能特性\n\n- 新增插件功能：基于 [cad-viewer](https:\u002F\u002Fgithub.com\u002Fmlight-lee\u002Fcad-viewer) 和 [sketch-editor](https:\u002F\u002Fgithub.com\u002Farmy8735\u002Fsketch-editor) 添加 CAD 和草图支持\n- 新增文本处理功能：使用 jschardet 为所有文本文件实现高性能的自动编码检测 (#49)\n\n## 🐛 修复\n\n- 修复类型定义：移除下载和批量操作选项结构\n\n## 📦 其他\n\n- 杂项更新：修复预构建脚本\n- 版本升级至 1.5.0\n\n\n\n### 💾 下载\n\n| 平台 | 下载链接 |\n|----------|----------|\n| macOS (Apple Silicon) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.5.0\u002FDataset.Viewer_1.5.0_aarch64.dmg) |\n| macOS (Intel) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.5.0\u002FDataset.Viewer_1.5.0_x64.dmg) |\n| Windows x64 | [下载 MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.5.0\u002FDatasetViewer_1.5.0_x64_en-US.msi) |\n| Linux (AppImage) | [下载 AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.5.0\u002FDataset.Viewer_1.5.0_amd64.AppImage) |\n\n### 🔧 安装说明\n\n- **macOS**：下载 DMG 文件 → 拖拽至“应用程序”文件夹 → 执行命令：`sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**：下载 MSI 文件 → 运行安装程序\n- **Linux (AppImage)**：运行命令：`chmod +x \"Dataset Viewer_\"*.AppImage` → 直接运行","2025-09-19T09:56:53",{"id":213,"version":214,"summary_zh":215,"released_at":216},145641,"v1.5.0-beta.3","## 🚀 功能\n\n- feat: 为 SketchViewer 添加暗黑模式支持\n\n## 🐛 修复\n\n- fix(webdav): 优化 URL 处理并改进响应解析逻辑 (#47)\n\n## 📦 其他\n\n- 版本升级至 1.5.0-beta.3\n\n\n\n### 💾 下载\n\n| 平台 | 下载 |\n|----------|----------|\n| macOS (Apple Silicon) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.5.0-beta.3\u002FDataset.Viewer_1.5.0-beta.3_aarch64.dmg) |\n| macOS (Intel) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.5.0-beta.3\u002FDataset.Viewer_1.5.0-beta.3_x64.dmg) |\n| Windows x64 | [下载 MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.5.0-beta.3\u002FDatasetViewer_1.5.0-3_x64_en-US.msi) |\n| Linux (AppImage) | [下载 AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.5.0-beta.3\u002FDataset.Viewer_1.5.0-beta.3_amd64.AppImage) |\n\n### 🔧 安装\n\n- **macOS**: 下载 DMG → 拖拽到 Applications 文件夹 → 执行：`sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**: 下载 MSI → 运行安装程序\n- **Linux (AppImage)**: `chmod +x \"Dataset Viewer_\"*.AppImage` → 运行\n","2025-09-19T03:21:58",{"id":218,"version":219,"summary_zh":220,"released_at":221},145642,"v1.5.0-beta.2","## 🚀 功能\n\n- feat(plugin): 添加对 Sketch 和 PSD 的基础支持 (#45)\n\n## 🐛 修复\n\n- fix: 统一插件路径转换和文件加载逻辑\n- fix: 本地插件调试机制\n\n## 📦 其他\n\n- chore: 更新依赖\n- 版本升级至 1.5.0-beta.2\n\n\n\n### 💾 下载\n\n| 平台 | 下载 |\n|----------|----------|\n| macOS (Apple Silicon) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.5.0-beta.2\u002FDataset.Viewer_1.5.0-beta.2_aarch64.dmg) |\n| macOS (Intel) | [下载 DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.5.0-beta.2\u002FDataset.Viewer_1.5.0-beta.2_x64.dmg) |\n| Windows x64 | [下载 MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.5.0-beta.2\u002FDatasetViewer_1.5.0-2_x64_en-US.msi) |\n| Linux (AppImage) | [下载 AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.5.0-beta.2\u002FDataset.Viewer_1.5.0-beta.2_amd64.AppImage) |\n\n### 🔧 安装\n\n- **macOS**: 下载 DMG → 拖拽到 Applications 文件夹 → 执行：`sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**: 下载 MSI → 运行安装程序\n- **Linux (AppImage)**: `chmod +x \"Dataset Viewer_\"*.AppImage` → 运行\n","2025-09-18T11:06:52",{"id":223,"version":224,"summary_zh":225,"released_at":226},145643,"v1.5.0-beta.1","## 🚀 Features\n\n- feat: enhance plugin loading mechanism (#44)\n\n## 🐛 Fixes\n\n- fix(ci): build SDK package\n\n## 📦 Other\n\n- Bump version to 1.5.0-beta.1\n\n\n\n### 💾 Downloads\n\n| Platform | Download |\n|----------|----------|\n| macOS (Apple Silicon) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.5.0-beta.1\u002FDataset.Viewer_1.5.0-beta.1_aarch64.dmg) |\n| macOS (Intel) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.5.0-beta.1\u002FDataset.Viewer_1.5.0-beta.1_x64.dmg) |\n| Windows x64 | [Download MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.5.0-beta.1\u002FDatasetViewer_1.5.0-1_x64_en-US.msi) |\n| Linux (AppImage) | [Download AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.5.0-beta.1\u002FDataset.Viewer_1.5.0-beta.1_amd64.AppImage) |\n\n### 🔧 Installation\n\n- **macOS**: Download DMG → Drag to Applications → Run: `sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**: Download MSI → Run installer\n- **Linux (AppImage)**: `chmod +x \"Dataset Viewer_\"*.AppImage` → Run\n","2025-09-17T08:51:34",{"id":228,"version":229,"summary_zh":230,"released_at":231},145644,"v1.5.0-beta.0","## 🚀 Features\r\n\r\n- feat: add plugin management system for custom render support (#33)\r\n\r\n## 📦 Other\r\n\r\n- chore(deps-dev): bump vite from 6.3.5 to 6.3.6 (#41)\r\n- docs: added theme mode switching\r\n- docs: optimize theme switching logic\r\n- Bump version to 1.5.0-beta.0","2025-09-15T11:42:59",{"id":233,"version":234,"summary_zh":235,"released_at":236},145645,"v1.4.0","## 🚀 Features\n\n- feat: rename markdown code highlighter utility and enhance syntax highlighting support\n\n## 🐛 Fixes\n\n- fix: default configuration for s3 connection\n\n## 📦 Other\n\n- Bump version to 1.4.0\n\n\n\n### 💾 Downloads\n\n| Platform | Download |\n|----------|----------|\n| macOS (Apple Silicon) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.4.0\u002FDataset.Viewer_1.4.0_aarch64.dmg) |\n| macOS (Intel) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.4.0\u002FDataset.Viewer_1.4.0_x64.dmg) |\n| Windows x64 | [Download MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.4.0\u002FDatasetViewer_1.4.0_x64_en-US.msi) |\n| Linux (AppImage) | [Download AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.4.0\u002FDataset.Viewer_1.4.0_amd64.AppImage) |\n\n### 🔧 Installation\n\n- **macOS**: Download DMG → Drag to Applications → Run: `sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**: Download MSI → Run installer\n- **Linux (AppImage)**: `chmod +x \"Dataset Viewer_\"*.AppImage` → Run\n","2025-09-09T11:35:13",{"id":238,"version":239,"summary_zh":240,"released_at":241},145646,"v1.4.0-beta.2","## 🚀 Features\n\n- feat: support highlighting of single-line text in modal\n\n## 🐛 Fixes\n\n- fix: ssh private key path expansion\n\n## 📦 Other\n\n- Bump version to 1.4.0-beta.2\n\n\n\n### 💾 Downloads\n\n| Platform | Download |\n|----------|----------|\n| macOS (Apple Silicon) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.4.0-beta.2\u002FDataset.Viewer_1.4.0-beta.2_aarch64.dmg) |\n| macOS (Intel) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.4.0-beta.2\u002FDataset.Viewer_1.4.0-beta.2_x64.dmg) |\n| Windows x64 | [Download MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.4.0-beta.2\u002FDatasetViewer_1.4.0-2_x64_en-US.msi) |\n| Linux (AppImage) | [Download AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.4.0-beta.2\u002FDataset.Viewer_1.4.0-beta.2_amd64.AppImage) |\n\n### 🔧 Installation\n\n- **macOS**: Download DMG → Drag to Applications → Run: `sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**: Download MSI → Run installer\n- **Linux (AppImage)**: `chmod +x \"Dataset Viewer_\"*.AppImage` → Run\n","2025-09-08T03:48:37",{"id":243,"version":244,"summary_zh":245,"released_at":246},145647,"v1.4.0-beta.1","## 🚀 Features\n\n- feat: add forward loading functionality with scroll detection (#39)\n\n## 🐛 Fixes\n\n- fix: move ref declarations for file association handling to top level\n\n## 📦 Other\n\n- refactor: use russh and russh-sftp for pure Rust implementation SSH\u002FSFTP client\n- Bump version to 1.4.0-beta.1\n\n\n\n### 💾 Downloads\n\n| Platform | Download |\n|----------|----------|\n| macOS (Apple Silicon) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.4.0-beta.1\u002FDataset.Viewer_1.4.0-beta.1_aarch64.dmg) |\n| macOS (Intel) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.4.0-beta.1\u002FDataset.Viewer_1.4.0-beta.1_x64.dmg) |\n| Windows x64 | [Download MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.4.0-beta.1\u002FDatasetViewer_1.4.0-1_x64_en-US.msi) |\n| Linux (AppImage) | [Download AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.4.0-beta.1\u002FDataset.Viewer_1.4.0-beta.1_amd64.AppImage) |\n\n### 🔧 Installation\n\n- **macOS**: Download DMG → Drag to Applications → Run: `sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**: Download MSI → Run installer\n- **Linux (AppImage)**: `chmod +x \"Dataset Viewer_\"*.AppImage` → Run\n","2025-09-07T10:53:10",{"id":248,"version":249,"summary_zh":250,"released_at":251},145648,"v1.4.0-beta.0","## 🚀 Features\n\n- feat: enhance folding functionality with summary display and improved detection logic\n- feat: add comprehensive SMB\u002FSSH support (#38)\n\n## 🐛 Fixes\n\n- fix: file browser refresh logic with visibility control\n\n## 📦 Other\n\n- chore: update versioning workflow to include Cargo.lock\n- chore: add version validation step in update workflow\n- chore: fix streamline version validation in update workflow\n- Bump version to 1.4.0-beta.0\n\n\n\n### 💾 Downloads\n\n| Platform | Download |\n|----------|----------|\n| macOS (Apple Silicon) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.4.0-beta.0\u002FDataset.Viewer_1.4.0-beta.0_aarch64.dmg) |\n| macOS (Intel) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.4.0-beta.0\u002FDataset.Viewer_1.4.0-beta.0_x64.dmg) |\n| Windows x64 | [Download MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.4.0-beta.0\u002FDatasetViewer_1.4.0-0_x64_en-US.msi) |\n| Linux (AppImage) | [Download AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.4.0-beta.0\u002FDataset.Viewer_1.4.0-beta.0_amd64.AppImage) |\n\n### 🔧 Installation\n\n- **macOS**: Download DMG → Drag to Applications → Run: `sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**: Download MSI → Run installer\n- **Linux (AppImage)**: `chmod +x \"Dataset Viewer_\"*.AppImage` → Run\n","2025-09-07T07:18:05",{"id":253,"version":254,"summary_zh":255,"released_at":256},145649,"v1.3.2","## 🚀 Features\n\n- feat: added right-click menu to open in text format (#36)\n- feat: improve connection handling and storage logic for OSS adapter\n- feat: standardize connection configuration logic, optimize default connection\n- feat: enhance content type detection with optimized JSON and XML checks\n\n## 📦 Other\n\n- chore: add macOS signing setup and entitlements (#35)\n- Bump version to 1.3.2\n\n\n\n### 💾 Downloads\n\n| Platform | Download |\n|----------|----------|\n| macOS (Apple Silicon) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.3.2\u002FDataset.Viewer_1.3.2_aarch64.dmg) |\n| macOS (Intel) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.3.2\u002FDataset.Viewer_1.3.2_x64.dmg) |\n| Windows x64 | [Download MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.3.2\u002FDatasetViewer_1.3.2_x64_en-US.msi) |\n| Linux (AppImage) | [Download AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.3.2\u002FDataset.Viewer_1.3.2_amd64.AppImage) |\n\n### 🔧 Installation\n\n- **macOS**: Download DMG → Drag to Applications → Run: `sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**: Download MSI → Run installer\n- **Linux (AppImage)**: `chmod +x \"Dataset Viewer_\"*.AppImage` → Run\n","2025-09-04T03:16:50",{"id":258,"version":259,"summary_zh":260,"released_at":261},145650,"v1.3.1","## 🚀 Features\n\n- feat: update the file processing of point cloud data in the archive\n- feat: remove file association registration related functions\n\n## 🐛 Fixes\n\n- fix: resolve typescript compilation errors after code linting\n- fix: dependencies in useEffect hooks\n- fix: auto connection and unified config structure\n\n## 📦 Other\n\n- docs: update screenshots for  connect interfaces\n- chore: add biome + rustfmt code formatting with pre-commit hooks\n- chore: autofix line error\n- Revert \"chore: autofix line error\"\n- chore: update storage key and text file associations\n- Bump version to 1.3.1\n\n\n\n### 💾 Downloads\n\n| Platform | Download |\n|----------|----------|\n| macOS (Apple Silicon) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.3.1\u002FDataset.Viewer_1.3.1_aarch64.dmg) |\n| macOS (Intel) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.3.1\u002FDataset.Viewer_1.3.1_x64.dmg) |\n| Windows x64 | [Download MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.3.1\u002FDatasetViewer_1.3.1_x64_en-US.msi) |\n| Linux (AppImage) | [Download AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.3.1\u002FDataset.Viewer_1.3.1_amd64.AppImage) |\n\n### 🔧 Installation\n\n- **macOS**: Download DMG → Drag to Applications → Run: `sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**: Download MSI → Run installer\n- **Linux (AppImage)**: `chmod +x \"Dataset Viewer_\"*.AppImage` → Run\n","2025-08-31T09:20:37",{"id":263,"version":264,"summary_zh":265,"released_at":266},145651,"v1.3.0","> AI Agent is a worker, not an engineer.\r\n\r\n## 🚀 Features\r\n\r\n- feat: implement streaming buffer for Parquet data loading (#28)\r\n- feat: simplify Deflate content reading approach in ZipHandler\r\n\r\n## 🐛 Fixes\r\n\r\n- fix: size limit handling for archive analysis and downloads\r\n\r\n## 📦 Other\r\n\r\n- refactor(oss-client): modularize OSS authentication and URL parsing\r\n- refactor: tauri commands and storage management\r\n- refactor: rename commands for consistency and clarity\r\n- refactor: storage client implementations to use unified Tauri commands (#27)\r\n- docs: update README and add product screenshots for enhanced user experience\r\n- refactor: storage client interfaces and implementations\r\n- refactor: unify archive and storage command interfaces for consistency\r\n- refactor: rename download commands for clarity and unify download path handling\r\n- refactor: consolidate storage clients into a unified StorageClient (#29)\r\n- Bump version to 1.3.0\r\n\r\n\r\n\r\n### 💾 Downloads\r\n\r\n| Platform | Download |\r\n|----------|----------|\r\n| macOS (Apple Silicon) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.3.0\u002FDataset.Viewer_1.3.0_aarch64.dmg) |\r\n| macOS (Intel) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.3.0\u002FDataset.Viewer_1.3.0_x64.dmg) |\r\n| Windows x64 | [Download MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.3.0\u002FDatasetViewer_1.3.0_x64_en-US.msi) |\r\n| Linux (AppImage) | [Download AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.3.0\u002FDataset.Viewer_1.3.0_amd64.AppImage) |\r\n\r\n### 🔧 Installation\r\n\r\n- **macOS**: Download DMG → Drag to Applications → Run: `sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\r\n- **Windows**: Download MSI → Run installer\r\n- **Linux (AppImage)**: `chmod +x \"Dataset Viewer_\"*.AppImage` → Run\r\n","2025-08-28T11:06:05",{"id":268,"version":269,"summary_zh":270,"released_at":271},145652,"v1.2.1","## 🚀 Features\n\n- feat(search): enhance file search functionality with improved navigation and content loading\n\n## 🐛 Fixes\n\n- fix: webdav parsing and zip streaming decompression\n\n## 📦 Other\n\n- Bump version to 1.2.1\n\n\n\n### 💾 Downloads\n\n| Platform | Download |\n|----------|----------|\n| macOS (Apple Silicon) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.2.1\u002FDataset.Viewer_1.2.1_aarch64.dmg) |\n| macOS (Intel) | [Download DMG](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.2.1\u002FDataset.Viewer_1.2.1_x64.dmg) |\n| Windows x64 | [Download MSI](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.2.1\u002FDatasetViewer_1.2.1_x64_en-US.msi) |\n| Linux (AppImage) | [Download AppImage](https:\u002F\u002Fgithub.com\u002Fstardustai\u002Fdataset-viewer\u002Freleases\u002Fdownload\u002Fv1.2.1\u002FDataset.Viewer_1.2.1_amd64.AppImage) |\n\n### 🔧 Installation\n\n- **macOS**: Download DMG → Drag to Applications → Run: `sudo xattr -d com.apple.quarantine \"\u002FApplications\u002FDataset Viewer.app\"`\n- **Windows**: Download MSI → Run installer\n- **Linux (AppImage)**: `chmod +x \"Dataset Viewer_\"*.AppImage` → Run\n","2025-08-26T02:32:31"]