# 使用 Homebrew 安装 brpc

查看 brpc 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:brpc
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install brpc
```

  证据: local Homebrew formula metadata

## 软件包事实

- **软件包键:** brew:brpc
- **软件包管理器:** Homebrew
- **版本:** 1.17.0
- **来源摘要:** Better RPC framework
- **主页:** <https://brpc.apache.org/>
- **仓库:** <https://github.com/apache/brpc>
- **最后更新:** 2026-08-02T01:26:51+09:00
- **已生成:** 2026-08-03T19:37:03+00:00

## 可执行文件

- parallel_http (别名)
- rpc_press (别名)
- rpc_replay (别名)
- rpc_view (别名)
- trackme_server (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: 1.17.0
## 项目历史与用法

Apache bRPC is an industrial-grade C++ RPC framework for reliable, high-performance services. It is rooted in Baidu production infrastructure and later became an Apache Top-Level Project, with built-in support for multiple protocols, observability endpoints, benchmarking and replay tools, and distributed-systems components.

### 项目历史

The Apache bRPC website describes the project as an industrial-grade C++ RPC framework often used in high-performance systems such as search, storage, machine learning, advertising, and recommendation. The README explains the name as better RPC and highlights one-port multi-protocol servers, HTTP/HTTPS, h2/gRPC, Redis, memcached, Thrift, Baidu internal protocols, and braft-based Raft services.

bRPC entered the Apache Incubator on 2018-11-13. The incubator status page records Apache bRPC incubating releases 0.9.6 in 2019, 0.9.7 in 2020, 1.0.0 in 2021, and 1.1.0 through 1.3.0 in 2022 before graduation on 2022-12-22. The first listed post-graduation Apache bRPC release is 1.4.0 on 2023-02-07.

### 采用历史

bRPC's adoption history starts inside Baidu: the official docs include use-case pages for Baidu Maps API gateway, Union DSP, ELF learning framework, and cloud-platform proxy services. After incubation, adoption broadened through Apache governance, public documentation, mailing lists, GitHub issues, and Homebrew packaging.

Unlike many RPC libraries packaged primarily as language modules, bRPC ships developer-facing tools such as `rpc_press`, `rpc_replay`, `rpc_view`, `parallel_http`, and `trackme_server`, which explains why it appears as a Homebrew formula rather than only as a C++ source dependency.

### 使用方式

Engineers use bRPC to build C++ clients and servers that need high-throughput RPC, mixed protocol support, HTTP-accessible debugging, profiling, load balancing, naming-service integration, and production observability. It is especially relevant to large internal-service deployments where one framework must bridge custom protocols and common open protocols.

### 为什么软件包爱好者会关心

For package nerds, bRPC is a useful contrast to small CLI tools: it is a heavy C++ distributed-systems framework whose package-manager artifact exposes both libraries and operational tools. Its history also shows how company-born infrastructure becomes a community-governed Apache project without losing the fingerprints of its original production environment.

### 时间线

- Pre-2018: bRPC develops as Baidu production RPC infrastructure.
- 2018-11-13: bRPC enters the Apache Incubator.
- 2019-07-14: Apache bRPC incubating 0.9.6 release.
- 2021-10-31: Apache bRPC incubating 1.0.0 release.
- 2022-12-22: bRPC graduates from the Apache Incubator.
- 2023-02-07: Apache bRPC 1.4.0 release after graduation.

### Related projects

- Related projects include gRPC, Apache Thrift, protobuf, braft, Redis and memcached clients, HTTP/2 service frameworks, and other large-scale C++ RPC stacks used inside infrastructure companies.

### 来源

- <https://brpc.apache.org/>
- <https://brpc.apache.org/docs/>
- <https://brpc.apache.org/docs/use-cases-inside-baidu/>
- <https://github.com/apache/brpc>
- <https://incubator.apache.org/projects/brpc.html>


## 安全说明

broad file, network, media, or database tool signal. generalized runtime or code generation signal.

- **Geiger 风险:** yellow / 中
- broad file, network, media, or database tool signal
- generalized runtime or code generation signal


## Combined YAML source

View the package source record on GitHub. [combined/brpc.yml](https://github.com/mxcl/pkgdb/blob/main/combined/brpc.yml)


## 来源

- pkg.so package database
- Geiger risk classifier
- curated package history
- pkgdb category and tag curation
- cross-ecosystem install command graph