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使用 Homebrew 安装 echtvar

查看 echtvar 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 echtvar

local Homebrew formula metadata

概览

软件包摘要

Rapid variant annotation and filtering

命令和别名

  • echtvar

历史

项目历史与用法

echtvar is a Rust command-line tool for rapid genomic variant annotation and filtering. Its package relevance is specialized but clear: it turns large population VCF resources into compact searchable archives that can annotate cohort VCF/BCF files quickly.

项目历史

The public repository was created in November 2021, and the first GitHub release, v0.1.0, was published in January 2022. The README describes echtvar as efficiently encoding variant allele frequency and other information from huge population datasets for rapid annotation at about one million variants per second.

The project is backed by a Nucleic Acids Research article and is developed in the Jeroen de Ridder lab. Its README explains the core design: chunking the genome, encoding variants into compact integers when possible, using zip files, delta encoding, integer compression, and lookup tables for selected integer, float, or low-cardinality string fields.

采用历史

echtvar's adoption path is a scientific-tool path rather than a broad developer-tool path: users can download static binaries and pre-encoded gnomAD v3.1.2 resources from GitHub releases, or build the Rust project themselves. Homebrew packaging makes it easier to install the executable on developer and analysis workstations.

The project is niche compared with general bioinformatics standards such as htslib, but it fills a practical need for fast annotation/filtering against large population datasets.

使用方式

A common workflow is to encode a population VCF once with echtvar encode, then reuse the resulting .echtvar.zip archive for many annotation runs with echtvar anno. The README shows annotation with multiple -e archive arguments and optional filtering expressions such as allele-frequency thresholds.

Encode configuration uses JSON5 to select and rename VCF fields, while annotation consumes decomposed and normalized VCF/BCF inputs and can stream from stdin.

为什么软件包爱好者会关心

echtvar is interesting because it packages a paper-backed bioinformatics data structure as a small Rust CLI. Package managers help users get the executable, while GitHub releases carry large precomputed domain data that would not belong inside a formula.

Its dependency story is also typical of modern bioinformatics packaging: htslib/rust-htslib for VCF/BCF I/O, compression libraries for speed, and a command-line interface meant to slot into pipelines.

时间线

  • 2021: Public echtvar GitHub repository created.
  • 2022: v0.1.0 initial release published.
  • 2022: Nucleic Acids Research article page published for echtvar.
  • 2026: v0.2.4 released, with repository activity continuing.

Related projects

  • The README credits htslib via rust-htslib for reading and writing BCF/VCF.
  • gnomAD is the main example population resource used for pre-encoded echtvar archives.
  • stream-vbyte, bincode, and fasteval are part of the implementation and expression-evaluation story described by the README.

安全态势

风险级别:绿色

narrow executable package without higher-risk signals.

风险分类器

绿色 风险 · 低 置信度 · appliance

原因

  • narrow executable package without higher-risk signals

信号

  • metadata:no-higher-risk-signals

安装行为

  • 未记录 Homebrew bottle 元数据。

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
echtvar可执行文件已索引可执行文件从本地可执行文件索引发现。

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2026-08-03
管理器版本0.2.4
管理器更新时间
本地数据未知
上游不可用
检测到的最新版本未检测到
  • 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:echtvar
版本0.2.4
软件包管理器Homebrew
主页https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkac931/6775383
仓库https://github.com/brentp/echtvar
Bottle未记录
服务未声明

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
  • pkg.so package database
  • pkgdb category and tag curation