all-packages
Install every package on PyPI
Decision gist · record as of 2026-08-14
No. This package is abandoned (last updated 11 Jan 2022) and will almost certainly fail or behave unexpectedly against the current PyPI index. It consumes extreme resources—disk space and bandwidth for hundreds of thousands of packages—with no clear practical use case. Install only if you are researching historical PyPI behavior or testing package management infrastructure in a controlled lab environment.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.6.
- Running this will consume massive disk space and bandwidth; the operation is designed to install hundreds of thousands of packages and will take considerable time and system resources.
- Low friction to install, but the package is abandoned—last updated 11 Jan 2022.
License · maintenance · safety
MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions, making it legally safe to install and run.
last release 2022-01-11 (1676 days) · last repo commit 2022-01-11 · 15 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 301,515 downloads/mo, #7,836 on PyPI
Alternatives
Verify before relying
pip install all_packages
all_packages install
# Creates virtual environments in ~/all_packages and attempts to install each PyPI package- Whether the package still works with current PyPI infrastructure given its 2022 release date.
- Actual disk space and time requirements for a complete run against the current PyPI index.
- Whether virtual environment creation and package installation succeed at scale or fail silently on incompatible packages.
What it is and what it does
all_packages is a command-line tool that attempts to download and install every package available on PyPI into separate virtual environments. It was created as a novelty or research tool to explore the entire Python package ecosystem at once, creating a local collection of all 349,451 packages as of its January 2022 release.
The tool has no runtime dependencies and installs as a simple Python script. It provides a single command, `all_packages install`, which iterates through PyPI and creates isolated virtual environments for each package, attempting installation into each one. Users can customize the output directory with a `-d` flag. However, the package is abandoned and has not been updated since its initial release, so it may not work reliably with current PyPI or modern Python environments.
Use it for
- Research or analysis of the entire PyPI ecosystem to understand package distribution, naming patterns, or dependency structures.
- Creating a local snapshot of PyPI for offline access or archival purposes in an isolated environment.
- Testing package management infrastructure or virtual environment tooling at scale with real-world package data.
- Identifying broken or incompatible packages across the entire index by observing which installations fail.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
This package is abandoned (last updated 11 Jan 2022) and will almost certainly fail or behave unexpectedly against the current PyPI index. It consumes extreme resources—disk space and bandwidth for hundreds of thousands of packages—with no clear practical use case. Install only if you are researching historical PyPI behavior or testing package management infrastructure in a controlled lab environment.
Install
all-packages on PyPI
Before you install
Low friction to install, but the package is abandoned—last updated 11 Jan 2022. The repository is not archived but receives no maintenance, so it will not adapt to PyPI changes or modern Python tooling.
Requires Python >=3.6. Running this will consume massive disk space and bandwidth; the operation is designed to install hundreds of thousands of packages and will take considerable time and system resources.
License in practice
MIT license permits free use, modification, and distribution with minimal restrictions, making it legally safe to install and run.
Quickstart
pip install all_packages
all_packages install
# Creates virtual environments in ~/all_packages and attempts to install each PyPI package
Verify before relying
- Whether the package still works with current PyPI infrastructure given its 2022 release date.
- Actual disk space and time requirements for a complete run against the current PyPI index.
- Whether virtual environment creation and package installation succeed at scale or fail silently on incompatible packages.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,676 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 301,515 / month, #7,836 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT License |
Evidence: all_packages-1.0.1-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “install all pypi packages”
- all-packagesAttempts to install every package from PyPI into isolated virtual…
- flitFlit is a Python packaging tool that simplifies creating and…
- pickleyInstalls and auto-upgrades standalone Python CLI tools from PyPI into…
Give your agent the search over MCP, or paste the wish link into any chat.
More Utilities packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Detects and normalizes text encoding from unknown or ambiguous sources, supporting all IANA character sets that Python's core library provides codecs for, with the ability to register custom codecs.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.
Install it if you're building an extensible application or framework.
Pygments is a syntax highlighter that colorizes source code and text in over 500 languages and formats, outputting to HTML, LaTeX, RTF, SVG, images, or ANSI terminal sequences.
Install it if you need to display or transform source code.
Six provides utility functions to write Python code that runs on both Python 2.7 and Python 3.3+, smoothing over language differences between the two versions.
See also pip2pi · pip-compile-multi · build · pip · charmcraftlocal · salesforce-bulk · pypi