# 使用 Homebrew 安装 libgrape-lite 查看 libgrape-lite 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。 ## 安装 ```sh sudo av install brew:libgrape-lite ``` 其他安装命令: ### macOS - Homebrew (100%): ```sh brew install libgrape-lite ``` 证据: local Homebrew formula metadata ## 软件包事实 - **软件包键:** brew:libgrape-lite - **软件包管理器:** Homebrew - **版本:** 0.3.5 - **来源摘要:** C++ library for parallel graph processing - **主页:** - **仓库:** - **已生成:** 2026-08-03T19:37:03+00:00 ## 可执行文件 - run_app (别名) ## 安装行为 - Bottle: 不可用 ## 版本和新鲜度 - 页面生成时间: 2026-08-03 - 管理器版本: 0.3.5 ## 项目历史与用法 libgrape-lite is Alibaba's C++ library form of GRAPE, a parallel graph-processing system built around the PIE programming model. It exists to let developers adapt sequential graph algorithms with relatively small changes and run them across large graph data. ### 项目历史 The repository README ties libgrape-lite to GRAPE, the Graph Parallel Processing Engine described in SIGMOD and VLDB work from 2017. The project presents itself as a lightweight, open-source implementation of the GRAPE core rather than a full graph platform. GraphScope documentation says its analytical engine originated from GRAPE, and that a lightweight version of GRAPE is open-sourced as libgrape-lite. GraphScope extends it with mutable fragments, vineyard support, and service-mode features. ### 采用历史 libgrape-lite's adoption story is mostly inside Alibaba and GraphScope rather than broad end-user CLI use. The README's badge says it enables GraphScope, and GraphScope's glossary calls libgrape-lite a dependency that serves as the analytical engine core. The v0.1.0 tag points to a 2021-10-29 commit, and subsequent tags through v0.3.5 show a small versioned release series. Homebrew packaging makes the C++/MPI graph library available outside the GraphScope source tree for users who want the lighter standalone component. ### 使用方式 Users build libgrape-lite with CMake, a C++11 compiler, MPI, and glog, then run example analytical applications such as single-source shortest path, weakly connected components, PageRank, local clustering coefficient, label propagation, and breadth-first search. The project also includes LDBC benchmark support, optional GPU graph processing with CUDA and NCCL, and a GNN sampler example, so the package is most relevant to graph analytics researchers and infrastructure developers. ### 为什么软件包爱好者会关心 The package is niche but interesting because it is a standalone slice of a larger graph-computing platform. Packaging libgrape-lite separately lets users experiment with GRAPE-style graph analytics without installing all of GraphScope. Its dependency profile is very package-manager-shaped: C++11, MPI, glog, optional jemalloc, optional CUDA/NCCL, and benchmark/examples. That makes it a small formula with heavyweight ecosystem implications. ### 时间线 - 2017: GRAPE publications appeared at SIGMOD and VLDB, with the README citing Best Paper and Best Demo awards. - 2021-10-29: The v0.1.0 tag points to a commit from this date. - 2021: GraphScope was presented in VLDB and open sourced, with its analytical engine tied to GRAPE. - 2026-07-01: The batch input listed Homebrew packaging for standalone libgrape-lite. ### Related projects - GraphScope is the larger graph-computing system whose analytical engine builds on GRAPE/libgrape-lite. - Vineyard is named by GraphScope documentation as an extension point around the analytical engine. - LDBC Graphalytics, CUDA, NCCL, MPICH, OpenMPI, glog, and GraphScope's GRAPE-JDK appear in the project's documented ecosystem. ### 来源 - - - - - ## 安全说明 library-like package without higher-risk signals. - **Geiger 风险:** 绿色 / 低 - library-like package without higher-risk signals ## Combined YAML source View the package source record on GitHub. [combined/libgrape-lite.yml](https://github.com/mxcl/pkgdb/blob/main/combined/libgrape-lite.yml) ## 来源 - pkg.so package database - Geiger risk classifier - curated package history - pkgdb category and tag curation - cross-ecosystem install command graph