# 使用 Homebrew 安装 beast

查看 beast 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:beast
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install beast
```

  证据: local Homebrew formula metadata

## 软件包事实

- **软件包键:** brew:beast
- **软件包管理器:** Homebrew
- **版本:** 10.5.0
- **来源摘要:** Bayesian Evolutionary Analysis Sampling Trees
- **主页:** <https://beast.community/>
- **仓库:** <https://github.com/beast-dev/beast-mcmc>
- **最后更新:** 2026-05-20T10:15:39Z
- **已生成:** 2026-08-03T19:37:03+00:00

## 可执行文件

- beast (别名)
- beauti (别名)
- loganalyser (别名)
- logcombiner (别名)
- treeannotator (别名)
- treestat (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: 10.5.0
## 项目历史与用法

BEAST is Bayesian Evolutionary Analysis Sampling Trees, a scientific software package for Bayesian phylogenetic analysis of molecular sequences using MCMC.

### 项目历史

The official documentation describes BEAST as focused on rooted, time-measured phylogenies, strict or relaxed molecular-clock models, coalescent population models, and Bayesian model testing.

The official About page credits Alexei J. Drummond, Andrew Rambaut, and Marc A. Suchard as designers and developers, with a large contributor and institutional-support history across evolutionary-analysis research.

### 采用历史

BEAST's adoption is primarily academic and scientific rather than general developer tooling. The official README distributes binaries for Mac, Windows, and UNIX/Linux and the Homebrew package exposes the command-line programs for Unix package users.

The supplied Homebrew metadata includes executables such as beast, beauti, loganalyser, logcombiner, treeannotator, and treestat, reflecting the suite-style workflow used to set up analyses, run MCMC, and inspect results.

### 使用方式

Typical BEAST workflows use BEAUti to prepare XML analysis files, beast to run Bayesian MCMC analyses, and companion tools such as LogAnalyser, LogCombiner, TreeAnnotator, and TreeStat to inspect or summarize outputs.

The package is Java-based and cross-platform, but the Homebrew formula makes its command-line tools available in the same way as other scientific CLI suites.

### 为什么软件包爱好者会关心

BEAST is significant as a package because it brings a full research-grade phylogenetics suite into package-manager workflows. It is not a small Unix filter, but Homebrew makes the JVM-backed analysis tools installable and scriptable beside other scientific software.

### 时间线

- 2015: The official GitHub repository for beast-mcmc was created.
- 2016: The GitHub releases include BEAST v1.8.4.
- 2018: The GitHub releases include BEAST v1.10.4, identified by the README as the previous major release.
- 2025: The GitHub releases include BEAST X v10.5.0.
- 2026: The official site and repository continue to describe BEAST X and recent beta releases.

### Related projects

- BEAUti, LogAnalyser, LogCombiner, TreeAnnotator, and TreeStat are bundled companion programs in the BEAST workflow.
- BEAST 2 is a related project in the broader BEAST ecosystem, but this Homebrew package points at the beast-mcmc repository and BEAST X documentation.

### 来源

- <https://beast.community/>
- <https://beast.community/about>
- <https://github.com/beast-dev/beast-mcmc#readme>
- <https://github.com/beast-dev/beast-mcmc/releases>
- input.json source_facts.executables


## 安全说明

没有找到 beast 的匹配本地密钥处理 manifest。Nucleus 软件包元数据仍在此发布，以便未来覆盖拥有稳定的软件包 URL。



## Combined YAML source

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


## 来源

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