macOS
Homebrew已验证 · 100%
brew install pypylocal Homebrew formula metadata
MacPorts已验证 · 94%
sudo port install pypyMacPorts ports tree · lang/pypy/Portfile · 来源: api.github.com
安装
其他安装命令
Linux
Alpine Linux apk已验证 · 92%
sudo apk add pypyAlpine Linux edge package indexes · pypy · 来源: dl-cdn.alpinelinux.org
Fedora dnf已验证 · 92%
sudo dnf install pypyFedora Rawhide package metadata · pypy · 来源: dl.fedoraproject.org
Nix已验证 · 92%
nix profile install nixpkgs#pypynixpkgs package indexes · pypy · 来源: raw.githubusercontent.com
Arch Linux pacman已验证 · 92%
sudo pacman -S pypyArch Linux sync databases · pypy · 来源: geo.mirror.pkgbuild.com
概览
软件包摘要
Highly performant implementation of Python 2 in Python
历史
项目历史与用法
PyPy is an alternative Python implementation generated from an interpreter written in RPython; this package supplies its Python 2.7-compatible runtime.
项目历史
PyPy began around 2003 with the goal of implementing Python in Python. From December 2004 through March 2007, an EU-funded research program supported its developers and sprint-based open-source work. Early releases established a self-contained translated interpreter; later JIT work transformed PyPy into a high-performance Python implementation.
采用历史
PyPy evolved from an experimental interpreter and language-implementation research platform into a production alternative to CPython. The project identifies 2010 as the point when its first practically usable JIT-enabled implementation arrived. This package preserves the Python 2.7-compatible runtime for users maintaining legacy Python software.
使用方式
Run Python 2 programs with the `pypy` executable. PyPy is most likely to improve sustained, pure-Python workloads after JIT warm-up; short-lived commands and C-extension-heavy applications may see less benefit. Compatibility is broad but not identical to CPython, so applications and native dependencies should be tested under PyPy.
为什么软件包爱好者会关心
PyPy demonstrated that an interpreter written at a high level could be translated into an efficient executable and supplied with an automatically generated tracing JIT. Its RPython toolchain, garbage collectors, object spaces, and meta-JIT research have made it influential well beyond users who simply install the interpreter for faster long-running Python programs.
时间线
- Circa 2003: The PyPy project began.
- 2004-12–2007-03: EU funding supported intensive research and development.
- 2005-08-28: PyPy 0.7 delivered an early self-contained translated interpreter.
- 2010: The project describes its first usable JIT-enabled PyPy as released.
- 2020s: PyPy continued publishing Python 2.7-compatible builds for legacy workloads.
Related projects
- RPython
- CPython
- Psyco
- CFFI
- PyPy benchmarks
来源
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
- formula 元数据中未记录 Homebrew post-install 钩子。
- Homebrew bottle 元数据适用于 5 个平台目标。
- 安装时包含 4 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 |
|---|---|---|---|
easy_install_pypy | cli | 全局可执行文件 | |
pip_pypy | cli | 全局可执行文件 | |
pypy | cli | 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2026-11-04
管理器版本8.0.1
管理器更新时间2026-10-14
本地数据OK
上游not checked
检测到的最新版本未检测到
- 信息Release/tag comparison is only available for GitHub repositories.https://pypy.org/none 置信度
安装元数据
软件包元数据
| 软件包键 | brew:pypy |
|---|---|
| 版本 | 8.0.1 |
| 软件包管理器 | Homebrew |
| 软件包管理器页面 | https://formulae.brew.sh/formula/pypy |
| 主页 | https://pypy.org/ |
| 仓库 | https://github.com/pypy/pypy |
| 上游文档 | https://pypy.org/ |
| 许可证 | MIT |
| 源码归档 | https://downloads.python.org/pypy/pypy2.7-v8.0.1-src.tar.gz |
| 最后更新 | 2026-10-14T10:07:49Z |
| Pulse | updated |
| 依赖 | gdbm, openssl@3, sqlite, tcl-tk@8 |
| 构建依赖 | pkgconf |
| macOS 提供的库 | bzip2, expat, libffi, ncurses |
| Bottle | 可用 (于 arm64_golden_gate, arm64_linux, arm64_sequoia, arm64_tahoe, x86_64_linux) |
| Homebrew post-install | 未定义 |
| 服务 | 未声明 |
| 注意事项 | A "distutils.cfg" has been written to: $HOMEBREW_CELLAR/pypy/8.0.1/libexec/lib-python/2.7/distutils specifying the install-scripts folder as: $HOMEBREW_PREFIX/share/pypy If you install Python packages via "pypy setup.py install", easy_install_pypy, or pip_pypy, any provided scripts will go into the install-scripts folder above, so you may want to add it to your PATH *after* $HOMEBREW_PREFIX/bin so you don't overwrite tools from CPython. Setuptools and pip have been installed, so you can use easy_install_pypy and pip_pypy. These are now managed by the formula and should not be modified. |
注册表事实
源数据库详情
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | pypy |
| Version Scheme | 0 |
| Revision | 0 |
| Head Version | HEAD |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | yes |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
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%
pypy
nix profile install nixpkgs#pypy- normalized package name match
- 匹配方式：Pypy
apk95%
pypy 7.3.19-r0
A fast, compliant alternative implementation of Python 2.7
sudo apk add pypy- License: MIT
- Architecture: x86_64
- Source Package: pypy
- 1 依赖
- 1 提供
- normalized package name match
- 匹配方式：Pypy
apk95%
pypy-dev 7.3.19-r0
A fast, compliant alternative implementation of Python 2.7 (development files)
sudo apk add pypy-dev- License: MIT
- Architecture: x86_64
- Source Package: pypy
- 1 依赖
- normalized package name match
- 匹配方式：Pypy
apk95%
pypy-tkinter 7.3.19-r0
Writing Tk applications with Pypy
sudo apk add pypy-tkinter- License: MIT
- Architecture: x86_64
- Source Package: pypy
- 1 依赖
- normalized package name match
- 匹配方式：Pypy
dnf95%
pypy 7.3.23-1.fc45
Python implementation with a Just-In-Time compiler
sudo dnf install pypy- License: MIT AND MIT-CMU AND Python-2.0.1 AND Unicode-3.0 AND BSD-3-Clause AND (Apache-2.0 OR BSD-3-Clause)
- Category: Unspecified
- Architecture: x86_64
- Source Package: pypy
- 4 依赖
- 3 提供
- normalized package name match
- 匹配方式：Pypy
dnf95%
pypy-devel 7.3.23-1.fc45
Development tools for working with PyPy
sudo dnf install pypy-devel- License: MIT AND MIT-CMU AND Python-2.0.1 AND Unicode-3.0 AND BSD-3-Clause AND (Apache-2.0 OR BSD-3-Clause)
- Category: Unspecified
- Architecture: x86_64
- Source Package: pypy
- 1 依赖
- 4 提供
- normalized package name match
- 匹配方式：Pypy
dnf95%
pypy-libs 7.3.23-1.fc45
Run-time libraries used by PyPy implementations of Python
sudo dnf install pypy-libs- License: MIT AND MIT-CMU AND Python-2.0.1 AND Unicode-3.0 AND BSD-3-Clause AND (Apache-2.0 OR BSD-3-Clause) AND (BSD-2-Clause OR Apache-2.0) AND Apache-2.0 AND ISC AND
- Category: Unspecified
- Architecture: x86_64
- Source Package: pypy
- 20 依赖
- 5 提供
- normalized package name match
- 匹配方式：Pypy
pacman95%
pypy 7.3.23-1
A Python implementation written in Python, JIT enabled
sudo pacman -S pypy- License: MIT
- Architecture: x86_64
- 7 依赖
- 2 可选依赖
- normalized package name match
- 匹配方式：Pypy
MacPorts95%
pypy
sudo port install pypy- normalized package name match
- 匹配方式：Pypy
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。
Combined YAML source
View the package source record on GitHub.
使用的来源
- Geiger risk classifier
- cross-ecosystem install command graph
- curated package history
- external package-manager database matches
- package relationship graph
- package version freshness
- package-page enrichment
- pkg.so package database
- pkgdb category and tag curation