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使用 Homebrew Cask 安装 bdash

查看 bdash 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 Cask已验证 · 100%
brew install --cask bdash

local Homebrew cask metadata

概览

软件包摘要

Simple SQL Client for lightweight data analysis

命令和别名

本地软件包数据库中没有找到可执行别名。

历史

项目历史与用法

Bdash is an open-source desktop SQL client designed for lightweight data analysis across multiple database and cloud-query systems.

项目历史

Bdash has been developed publicly as an MIT-licensed desktop SQL client. The project distributes application builds through its website and GitHub releases, with release automation maintained in the same source repository.

The project later added a bundled Model Context Protocol server, allowing compatible AI coding tools to inspect configured data sources and manipulate queries in the Bdash editor.

采用历史

Bdash targets analysts and developers who want one graphical client for several data platforms. Its official compatibility list includes MySQL, PostgreSQL and Amazon Redshift, SQLite, Google BigQuery, Treasure Data, and Amazon Athena.

使用方式

Users configure one or more supported data sources, write and save SQL queries, inspect results, and turn query output into charts.

Results can be shared using GitHub Gist. The optional MCP server exposes tools for listing data sources, queries, tables, and schemas, as well as creating or editing queries.

为什么软件包爱好者会关心

Bdash is notable as a lightweight, open-source alternative to larger database workbenches. Its multi-source support, charting, saved queries, and package-manager availability make it useful on data-oriented developer workstations.

时间线

  • Public project: Bdash developed as an MIT-licensed SQL client.
  • Later development: Charting, result sharing, and support for multiple data sources became core features.
  • Recent development: The application gained a bundled Model Context Protocol server.

Related projects

  • Supported systems include MySQL, PostgreSQL, Amazon Redshift, SQLite, Google BigQuery, Treasure Data, and Amazon Athena.
  • Query results can be shared through GitHub Gist, and the bundled MCP server can integrate with compatible AI coding tools.

来源

  • Official project website linked by the repository: https://bdash.hokaccha.dev/
  • Official repository and README: https://github.com/bdash-app/bdash

安全态势

尚未找到受保护工具覆盖

没有找到 bdash 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。
  • 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
没有可执行文件数据。

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2026-11-04
管理器版本1.35.4
管理器更新时间
本地数据OK
上游not checked
检测到的最新版本未检测到

https://github.com/bdash-app/bdash

  • 信息No package-manager update timestamp was available.低 置信度
  • 信息No cached GitHub release or tag data was available.https://github.com/bdash-app/bdashnone 置信度

安装元数据

软件包元数据

软件包键cask:bdash
版本1.35.4
软件包管理器Homebrew Cask
软件包管理器页面https://formulae.brew.sh/cask/bdash
主页https://github.com/bdash-app/bdash
仓库https://github.com/bdash-app/bdash
源码归档https://github.com/bdash-app/bdash/releases/download/v1.35.4/Bdash-1.35.4-universal-mac.zip
SHA-25645db49d7029c8919ff150335823a60a2dca84699904029a5c6071a564109c614
Bottle未记录
Homebrew post-install未定义
服务未声明

注册表事实

源数据库详情

Source DatabaseHomebrew cask API
Taphomebrew/cask
Full Tokenbdash
Names
  • Bdash
Depends On
Artifacts
Deprecatedno
Disabledno

来源线索

由仓库数据生成

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

使用的来源

  • cross-ecosystem install command graph
  • curated package history
  • package relationship graph
  • package version freshness
  • package-page enrichment