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Agent 编排，把私有数据接入 LLM 构建 RAG 与智能体应用。",{"owner":743,"repo":744,"repoId":745,"category":42,"subgroup":43,"language":622,"tags":746,"starCount":751,"ownerUid":752,"latestTag":753,"platforms":754,"lastReleaseTime":755,"downloadCount":756,"description":757},"pandas-dev","pandas",858127,[747,748,749,750,744,635],"alignment","data-analysis","data-science","flexible",50247,21206976,"v3.1.0",[700],"2026-10-22T13:20:42Z",164,"pandas 是 Python 最流行的数据分析与处理库，提供类似 R data.frame 的带标签数据结构 Series 与 DataFrame，覆盖清洗、对齐、分组聚合、时间序列等日常数据工作全流程。",{"description":759,"readmeHtml":760},"LLVM Project 是一套模块化、可复用的编译器与工具链技术合集，包含 LLVM 核心、Clang 前端、LLD 链接器、libc++ 标准库与 MLIR 等组件。","\u003Ch2 id=\"项目概述\">项目概述\u003C\u002Fh2>\u003Cp>LLVM Project 由 LLVM 基金会社区维护，是现代编译基础设施事实上的基石：苹果、Google 到 AMD 的生产编译器都构建在它之上。这个 monorepo 收纳了全部子项目源码——中间表示与优化核心 LLVM、C 家族前端 Clang、C++ 标准库 libc++、快速链接器 LLD、调试器 LLDB、多层级 IR 框架 MLIR、Fortran 前端 Flang、OpenMP 运行时与多目标优化器 Polly 等。\u003C\u002Fp>\n\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>项目\u003C\u002Fth>\n\u003Cth>内容\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>形态\u003C\u002Ftd>\n\u003Ctd>编译器与工具链组件合集（monorepo）\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>覆盖语言\u003C\u002Ftd>\n\u003Ctd>C \u002F C++ \u002F Objective-C \u002F Objective-C++ 经 Clang 编译\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>许可\u003C\u002Ftd>\n\u003Ctd>Apache 2.0（含 LLVM 例外条款），见 LICENSE.TXT\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>主目录\u003C\u002Ftd>\n\u003Ctd>llvm \u002F clang \u002F lld \u002F lldb \u002F mlir \u002F flang \u002F libcxx 等\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>社区\u003C\u002Ftd>\n\u003Ctd>Discourse 论坛、Discord、Office Hours\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Cblockquote>\n\u003Cp>把「源代码变成高效机器码」这件事拆成一个个可复用的模块。\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\u003Ch2 id=\"核心组件\">核心组件\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>LLVM 核心\u003C\u002Fstrong>：中间表示（bitcode）、优化器与代码生成，附带汇编器、反汇编器与 bitcode 分析工具\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Clang\u003C\u002Fstrong>：C、C++、Objective-C、Objective-C++ 前端，先编译到 LLVM bitcode 再生成目标文件，以诊断信息与标准符合度著称\u003C\u002Fli>\n\u003Cli>\u003Cstrong>LLD\u003C\u002Fstrong>：内置于 LLVM 的快速链接器，可替代 GNU ld 等传统链接器\u003C\u002Fli>\n\u003Cli>\u003Cstrong>libc++ \u002F libc++abi\u003C\u002Fstrong>：高性能 C++ 标准库及其运行时\u003C\u002Fli>\n\u003Cli>\u003Cstrong>LLDB\u003C\u002Fstrong>：与 Clang 共享表达式解析的调试器\u003C\u002Fli>\n\u003Cli>\u003Cstrong>MLIR\u003C\u002Fstrong>：多层中间表示框架，AI 编译器与领域 DSL 的地基\u003C\u002Fli>\n\u003Cli>\u003Cstrong>运行时家族\u003C\u002Fstrong>：compiler-rt、libunwind、openmp、libc 等执行环境组件\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"集成方式\">集成方式\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>作为工具链使用\u003C\u002Fstrong>：Clang 加 LLD 可直接替换现有 C\u002FC++ 构建的编译器与链接器，\u003Ccode>cmake -DCMAKE_C_COMPILER=clang\u003C\u002Fcode> 即可切入\u003C\u002Fli>\n\u003Cli>\u003Cstrong>作为库链接\u003C\u002Fstrong>：LLVM 以库族发布，\u003Ccode>llvm-config --cxxflags --libs\u003C\u002Fcode> 输出对接所需参数，ORC JIT 可把 IR 直接在内存里跑起来\u003C\u002Fli>\n\u003Cli>\u003Cstrong>作为平台扩展\u003C\u002Fstrong>：MLIR 自定义方言、Clang 插件与 pass 插件是常见的三方扩展点\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"获取与构建\">获取与构建\u003C\u002Fh2>\u003Col>\n\u003Cli>执行 \u003Ccode>git clone https:\u002F\u002Fgithub.com\u002Fllvm\u002Fllvm-project\u003C\u002Fcode>（仓库体积巨大，建议浅克隆）\u003C\u002Fli>\n\u003Cli>构建：\u003Ccode>cmake -G Ninja -S llvm -B build -DCMAKE_BUILD_TYPE=Release && ninja -C build\u003C\u002Fcode>\u003C\u002Fli>\n\u003Cli>入门与贡献指南见 llvm.org\u002Fdocs 的 Getting Started 与 Contributing 页面\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch2 id=\"适用场景\">适用场景\u003C\u002Fh2>\u003Cul>\n\u003Cli>语言与编译器研究者\u003C\u002Fli>\n\u003Cli>需要自研 DSL 或 AI 编译栈的工程团队\u003C\u002Fli>\n\u003Cli>追求链接速度与优化质量的 C\u002FC++ 项目\u003C\u002Fli>\n\u003Cli>工具链发行版与交叉编译环境维护者\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"环境要求\">环境要求\u003C\u002Fh2>\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>项目\u003C\u002Fth>\n\u003Cth>要求\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>构建系统\u003C\u002Ftd>\n\u003Ctd>CMake，配 Ninja 或 Make\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>语言标准\u003C\u002Ftd>\n\u003Ctd>C++17\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>参考\u003C\u002Ftd>\n\u003Ctd>具体编译器与版本要求见官方 Getting Started\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Ch2 id=\"注意事项\">注意事项\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>仓库极大\u003C\u002Fstrong>：完整克隆超过 4 GB，建议 \u003Ccode>--depth 1\u003C\u002Fcode> 浅克隆或按需 sparse-checkout\u003C\u002Fli>\n\u003Cli>\u003Cstrong>全量构建昂贵\u003C\u002Fstrong>：完整构建 LLVM 加 Clang 需要数十分钟到数小时，日常开发可只启用 \u003Ccode>LLVM_ENABLE_PROJECTS=clang\u003C\u002Fcode>\u003C\u002Fli>\n\u003Cli>\u003Cstrong>发版节奏\u003C\u002Fstrong>：每年发布两个大版本\u003C\u002Fli>\n\u003C\u002Ful>\n",1793197896106]