Automic VaultAutomic Vault

brew

使用 Homebrew, Nix 安装 datasette

查看 datasette 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 datasette

local Homebrew formula metadata

概览

软件包摘要

Open source multi-tool for exploring and publishing data

命令和别名

  • datasette

历史

项目历史与用法

Datasette is an open-source tool for exploring and publishing SQLite-backed data as an interactive website and JSON API.

项目历史

Datasette was created by Simon Willison and the official changelog traces public releases back to November 2017. The project grew from a lightweight SQLite publishing tool into a broader data exploration platform with plugins, publishing commands, and hosted demos.

采用历史

The README explicitly targets data journalists, museums, archivists, local governments, scientists, researchers, and other people with data to share. That audience explains its adoption pattern: simple local inspection first, then repeatable publishing to the web.

使用方式

Package users usually install the CLI, point it at one or more SQLite databases, and run `datasette serve` locally or `datasette publish` to deploy a site and API.

为什么软件包爱好者会关心

Datasette matters in package catalogs because it turns SQLite files into browsable, queryable web apps with one command, making a database file feel like a portable software artifact.

时间线

  • 2017: Datasette 0.1 appears in the official changelog.
  • 2018: Early 0.x releases expand the publishing and exploration workflow.
  • 2024: Datasette 1.0 alpha releases continue the long-running plugin-oriented line.

Related projects

  • SQLite is the central related technology; Datasette Lite and the Datasette plugin ecosystem extend the same publishing model.

安全态势

尚未找到受保护工具覆盖

没有找到 datasette 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。

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 3 个运行时依赖。

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。

local files

Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.

Configuration files

Config paths the tool may read or write during local use.

Unix
datasette.yamldatasette.json

可执行文件

已安装的可执行文件

命令类型暴露范围备注
datasettecli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2026-07-25
管理器版本0.65.2
管理器更新时间2026-07-15
本地数据OK
上游not checked
检测到的最新版本未检测到

https://docs.datasette.io/en/stable/

安装元数据

软件包元数据

软件包键brew:datasette
版本0.65.2
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/datasette
主页https://docs.datasette.io/en/stable/
仓库https://github.com/simonw/datasette
上游文档https://docs.datasette.io/en/stable
许可证Apache-2.0
源码归档https://files.pythonhosted.org/packages/80/26/80b5480921d71891b8ff880fed6d44150b9164903d683efe2eb7405b61d8/datasette-0.65.2.tar.gz
最后更新2026-07-15T10:42:08Z
Pulseupdated
依赖certifi, libyaml, python@3.14
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 Namedatasette
Version Scheme0
Revision6
Head VersionHEAD
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • head
  • stable

源数据库匹配

其他软件包管理器记录

匹配项来自外部软件包管理器索引,并与本地 Automic Vault 软件包链接分开显示。

Nix95%

datasette

nix profile install nixpkgs#datasette
  • normalized package name match
  • 匹配方式:Datasette
nixpkgs package indexes · raw.githubusercontent.com · nixpkgs package indexes: datasette from https://raw.githubusercontent.com/NixOS/nixpkgs/master/pkgs/top-level/all-packages.nix

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
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated configuration and credential file locations
  • curated package history
  • external package-manager database matches
  • package relationship graph
  • package version freshness
  • package-page enrichment