pkg.sopackage field notes

brew / 排名 340

使用 Homebrew 安装 hdf5

查看 hdf5 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 hdf5

provider-native install command

概览

软件包摘要

File format designed to store large amounts of data

命令和别名

  • h5c++
  • h5cc
  • h5clear
  • h5copy
  • h5debug
  • h5delete
  • h5diff
  • h5dump
  • h5fc
  • h5format_convert
  • h5import
  • h5jam
  • h5ls
  • h5mkgrp
  • h5perf_serial
  • h5repack
  • h5repart
  • h5stat
  • h5unjam
  • h5watch

历史

项目历史与用法

HDF5 is a high-performance data-management library and file format for heterogeneous scientific and engineering data. The upstream project combines a binary file format, C library, language interfaces, command-line utilities, specifications, documentation, and a long-lived ecosystem around portable self-describing data.

项目历史

The HDF lineage began in 1987 at the National Center for Supercomputing Applications at the University of Illinois, where the Graphics Foundations Task Force set out to create an architecture-independent library and file format for sharing scientific data across different computing platforms.

By 1996, the original HDF design was no longer enough for growing data volumes and computing systems. HDF5 was implemented in 1998 as a more scalable successor to HDF4, with core funding and requirements from Department of Energy national laboratories and other scientific-data stakeholders.

The HDF Group separated from the University/NCSA setting in the 2005-2006 period to steward HDF technologies, support users, and keep the software aligned with advancing data requirements. The GitHub repository was created in 2020 as the official public source repository for the HDF5 library.

采用历史

HDF5's adoption is unusually broad for a file-format library. The HDF Group describes it as used across academic research, aerospace, automotive, electronic instruments, finance, government, medicine, oil and gas, silicon manufacturing, astronomy, computational fluid dynamics, earth sciences, genomics, physics, and other data-heavy fields.

The format spread because it combines portability, self-description, hierarchical groups, multidimensional datasets, metadata with data, compression and filtering support, and interfaces for C, C++, Fortran, Java, and higher-level ecosystems. It became infrastructure for tools rather than just an application format.

Package-manager adoption reflects that infrastructure role: the batch input records Alpine, Homebrew, Debian/Ubuntu helpers, Fedora, MacPorts, Nix, Arch, and openSUSE packaging. Downstream software often depends on libhdf5, h5dump, h5ls, h5repack, h5diff, compiler wrappers, and headers rather than the user intentionally launching a single HDF5 app.

使用方式

Users create HDF5 files to store nested groups, datasets, attributes, datatypes, and metadata in one portable file. Command-line tools such as h5dump, h5ls, h5copy, h5diff, h5repack, h5stat, h5import, and h5watch make the package useful even outside application development.

Developers link against HDF5 through C, C++, Fortran, Java, and bindings in scientific languages. The official README points users to install guides, CMake builds, documentation, release notes, examples, support, and HPC guidance, underscoring that HDF5 is both a library and an operational ecosystem.

Parallel HDF5 extends the same model to MPI programs that need shared access to HDF5 files. The serial hdf5 package remains the ordinary default for many desktop, scripting, and build dependencies, while MPI-enabled builds are split out by package managers when parallel I/O semantics are needed.

为什么软件包爱好者会关心

HDF5 is package-nerd famous because it is a dependency with a large ABI and feature surface: serial versus MPI builds, CMake options, C and Fortran compiler wrappers, compression filters, high-level APIs, Java components, command-line tools, and downstream consumers that may require a particular feature combination.

It is also a file-format package where old data matters. Users may be less interested in novelty than in long-term readability, stable tools such as h5dump and h5repack, and a build that keeps older files accessible while still supporting newer platform and performance work.

For Homebrew specifically, hdf5 is the general-purpose package that many scientific packages find at build or runtime. Its sibling hdf5-mpi exists because the parallel build is important enough, and different enough, to deserve a separate dependency path.

时间线

  • 1987: NCSA began the HDF effort for architecture-independent scientific data sharing.
  • 1996: HDF maintainers identified scaling limits in the older HDF line.
  • 1998: HDF5 was implemented as the scalable successor to HDF4.
  • 2005: The HDF Group was incorporated as a not-for-profit company.
  • 2006: The HDF Group began operating separately in the University of Illinois Research Park.
  • 2020: HDFGroup/hdf5 official source repository was created on GitHub.
  • 2026: HDF5 2.x changelog material documents continuing work on build systems, tools, plugins, and compatibility.

Related projects

  • HDF4 is the older HDF line that HDF5 superseded for many workloads.
  • Parallel HDF5 is the MPI-oriented build and programming model for parallel I/O.
  • HDFView is the graphical viewer in the broader HDF ecosystem.
  • HSDS is The HDF Group's highly scalable data service for HDF5-style data access.
  • netCDF, h5py, HDF5.jl, and many scientific applications depend on or integrate with HDF5.

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
h5c++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。
h5cc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。
h5clear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。
h5copy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。
h5debug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。
h5delete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。
h5diff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。
h5dump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。
h5fc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。
h5format_convert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。
h5import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。
h5jam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。
h5ls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。
h5mkgrp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。
h5perf_serial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。
h5repack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。
h5repart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。
h5stat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。
h5unjam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。
h5watch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2.2.0
管理器更新时间2026-07-29
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:hdf5
版本2.2.0
软件包管理器Homebrew
主页https://www.hdfgroup.org/solutions/hdf5/
仓库https://github.com/HDFGroup/hdf5
最后更新2026-07-29T10:29:19Z
Pulseupdated
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
  • Nucleus package database
  • curated package history
  • pkgdb category and tag curation