# 使用 Homebrew, apt 安装 logswan

查看 logswan 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:logswan
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install logswan
```

  证据: local Homebrew formula metadata

### Linux

- Debian apt (92%):

```sh
sudo apt install logswan
```

  证据: Debian stable package indexes: logswan from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz

## 软件包事实

- **软件包键:** brew:logswan
- **软件包管理器:** Homebrew
- **版本:** 2.1.17
- **来源摘要:** Fast Web log analyzer using probabilistic data structures
- **主页:** <https://www.logswan.org>
- **仓库:** <https://github.com/fcambus/logswan>
- **最后更新:** 2026-07-02T00:18:32Z
- **已生成:** 2026-08-03T19:37:03+00:00

## 可执行文件

- logswan (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: 2.1.17
## 项目历史与用法

Logswan is a fast web-log analyzer focused on very large log files, especially API logs. It uses probabilistic data structures, including HyperLogLog counters, to keep memory use constant while estimating unique visitors.

### 项目历史

Frederic Cambus develops Logswan as intentionally opinionated software. The README states design goals of speed, memory efficiency, and simple code, and documents deliberate constraints such as Common Log Format support and byte-level reporting without rounded units.

The official GitHub repository was created in June 2015. The project remains small and C-focused, with Jansson and libmaxminddb as key dependencies and JSON output as its primary integration surface.

### 采用历史

Logswan's adoption is modest but practical: the README lists packages for OpenBSD, NetBSD, FreeBSD, Debian, Ubuntu, Void Linux, Gentoo, and Homebrew. The supplied package facts also show Homebrew, Debian, and Ubuntu entries.

The official GitHub repository shows a long-lived niche project with hundreds of stars, a small fork count, and regular releases through the 2.1.x series.

### 使用方式

The CLI form is `logswan [-ghv] [-d db] logfile`, with `-` accepted for standard input. Output goes to standard output as JSON, making it easy to redirect into other tools.

GeoIP lookups are optional through `-g` and `-d db`. The README documents the default GeoIP2 database directory under `${CMAKE_INSTALL_PREFIX}/share/dbip`, but this is a data-file lookup rather than a Logswan configuration file.

### 为什么软件包爱好者会关心

Logswan is interesting to package maintainers because it is a small, security-minded C tool with clear dependencies, sandboxing notes for OpenBSD pledge, optional seccomp, and deterministic JSON output. It is the opposite of a sprawling analytics stack.

### 时间线

- 2015: Official GitHub repository created.
- 2021: 2.1.12 release published.
- 2025: 2.1.15 release published.
- 2026: 2.1.16 release published.

### Related projects

- Logswan belongs to the family of web-log analyzers, but its README differentiates it by using HyperLogLog counters and by avoiding broad format support.

### 来源

- <https://api.github.com/repos/fcambus/logswan>
- <https://github.com/fcambus/logswan#readme>
- <https://github.com/fcambus/logswan/releases/tag/2.1.16>
- <https://www.logswan.org/>
- source_facts.package-manager


## 安全说明

narrow executable package without higher-risk signals.

- **Geiger 风险:** 绿色 / 低
- narrow executable package without higher-risk signals

## 其他软件包管理器记录

- Debian apt - logswan - 2.1.15-1: normalized package name match | Debian stable package indexes: logswan from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz | fast Web log analyzer using probabilistic data structures | https://github.com/fcambus/logswan
- Ubuntu apt - logswan - 2.1.14-2: normalized package name match | Ubuntu 24.04 LTS package indexes: logswan from https://archive.ubuntu.com/ubuntu/dists/noble/universe/binary-amd64/Packages.gz | fast Web log analyzer using probabilistic data structures | https://github.com/fcambus/logswan


## Combined YAML source

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


## 来源

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