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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

其他安装命令

macOS

Homebrew已验证 · 100%
brew install beast

local Homebrew formula metadata

概览

软件包摘要

Bayesian Evolutionary Analysis Sampling Trees

命令和别名

  • beast
  • beauti
  • loganalyser
  • logcombiner
  • treeannotator
  • treestat

历史

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.

安全态势

尚未找到受保护工具覆盖

没有找到 beast 的匹配本地密钥处理 manifest。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。

安装行为

  • formula 元数据中未记录 Homebrew post-install 钩子。
  • Homebrew bottle 元数据适用于 6 个平台目标。
  • 安装时包含 2 个运行时依赖。
  • 构建元数据列出 1 个构建依赖。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

可执行文件

已安装的可执行文件

命令类型暴露范围备注
beastcli全局可执行文件
beauticli全局可执行文件
loganalysercli全局可执行文件
logcombinercli全局可执行文件
treeannotatorcli全局可执行文件
treestatcli全局可执行文件

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-08-04
管理器版本10.5.0
管理器更新时间2026-05-20
本地数据OK
上游当前
检测到的最新版本v10.5.0

https://github.com/beast-dev/beast-mcmc

  • OK没有生成新鲜度警告。

安装元数据

软件包元数据

软件包键brew:beast
版本10.5.0
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/beast
主页https://beast.community/
仓库https://github.com/beast-dev/beast-mcmc
上游文档https://beast.community/
许可证LGPL-2.1-or-later
源码归档https://github.com/beast-dev/beast-mcmc/archive/refs/tags/v10.5.0.tar.gz
最后更新2026-05-20T10:15:39Z
Pulseupdated
依赖beagle, openjdk@25
构建依赖ant
Bottle可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-install未定义
服务未声明

注册表事实

源数据库详情

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namebeast
Version Scheme0
Revision0
Head VersionHEAD
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • head
  • stable

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • Geiger risk classifier
  • cross-ecosystem install command graph
  • curated package history
  • package relationship graph
  • package version freshness
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  • pkg.so package database
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