PDM: A Next-Generation Python Package Manager

PDM logo

PDM is a modern Python package and dependency manager designed to support the latest Python packaging standards. Born from practical needs and open to collaboration, PDM invites developers to experience a streamlined, standards-compliant workflow for building, distributing, and consuming Python packages. It’s not merely a replacement for pip or virtual environments; it’s a holistic tool aimed at simplifying complex project setups while preserving the flexibility that experienced developers expect. Whether you’re packaging a library, building an application, or experimenting with cutting-edge packaging workflows, PDM provides a thoughtful, extensible foundation.

In this article, we’ll dive into what PDM is, why it matters, how it compares with other popular tooling, and how you can get started quickly. We’ll also touch on the ecosystem around PDM, experimental features, and how to contribute or sponsor the project.

Docs and community resources are actively maintained, and the project offers a Chinese version for broader accessibility. For ongoing updates, you can follow the project on Twitter, join the Discord, or explore the available documentation and release assets.

What is PDM?

PDM is meant to be a next generation Python package management tool. It began as a personal project but has evolved into a robust option for developers who want more from their packaging and dependency workflows. If you’re happily using Pipenv or Poetry and don’t want to switch tools, you can stay with your preferred setup. However, if you find gaps in those tools, PDM may offer something valuable—whether it’s a different approach to dependency resolution, a flexible plugin system, or support for newer packaging standards.

Key ideas behind PDM include:

A simple yet fast dependency resolver, optimized for large binary distributions
A PEP 517 build backend to create reproducible builds
PEP 621-compatible project metadata handling
A flexible, powerful plugin system to extend functionality
Support for user scripts to automate and customize workflows
The ability to install Python versions using a dedicated standalone approach
An opt-in centralized installation cache designed to save disk space and speed up installs (inspired by pnpm)

For reference, the project aligns with important Python packaging standards, including PEP 517 and PEP 621, while offering practical enhancements that address real-world needs in modern Python development.

PEP 517 and PEP 621 provide the formal backbone for build backends and project metadata, enabling predictable packaging workflows. PDM embraces these standards to ensure compatibility and forward-compatibility with the evolving packaging ecosystem. The inclusion of a centralized cache and a strong focus on dependency resolution makes PDM particularly appealing for large projects and libraries that require precise, reproducible environments.

Highlights of Features

PDM offers a curated set of features designed to improve usability, reliability, and performance. Here are some of the standout aspects:

Simple and fast dependency resolver, optimized for large binary distributions
Efficiently determines compatible versions across complex dependency graphs
Reduces install times for projects with many binary wheels or compiled extensions
A PEP 517 build backend
Separates build logic from the runtime environment
Provides a consistent path to build artifacts (wheels, sdist) across platforms
PEP 621 project metadata
Stores project information (name, version, dependencies, etc.) in a standardized format
Enables better tooling interoperability and clearer project definitions
Flexible and powerful plugin system
Extend PDM with custom commands, hooks, and integrations
Share plugins with the community to broaden capabilities
Versatile user scripts
Scriptable automation that can simplify repetitive tasks
Custom workflows tailored to your project’s needs
Install Python versions via astral-sh’s python-build-standalone
Access a streamlined mechanism to manage multiple Python interpreters
Supports diverse development setups, from microservices to data science projects
Opt-in centralized installation cache (inspired by pnpm)
Speeds up repeated installs by caching shared artifacts
Conserves disk space when multiple environments rely on the same dependencies

These features are not merely theoretical; they’re backed by practical tooling and an active community building around PDM. The goal is to provide a robust, flexible, and fast workflow that addresses the realities of modern Python development.

Comparisons to Other Alternatives

Understanding where PDM fits in the ecosystem requires looking at how it compares with other popular tools. Here are concise overviews of Pipenv, Poetry, Hatch, and how PDM distinguishes itself.

Pipenv
What it does: Combines pip and virtual environments for dependency management.
Limitations: It’s focused on development environments and does not handle packaging metadata comprehensively. If you’re a library author, you may still need setuptools or another packaging solution.
PDM’s edge: Stronger emphasis on packaging metadata, lockfiles, and broader build backend interoperability.
Poetry
What it does: Manages environments and dependencies, builds wheels, and can publish to PyPI. It relies on pyproject.toml and offers a polished user experience with plugins.
Limitations: While user-friendly, Poetry can feel opinionated, and some teams may prefer to decouple environment management from packaging or to choose a different build backend.
PDM’s edge: Greater flexibility in build backends, optional centralized cache, and a focus on standards-based packaging (PEP 517/621) with an extensible plugin system.
Hatch
What it does: Manages environments and can include multiple environments per project. It supports packaging and PyPI uploads and can be configured in project roots.
Limitations: It can manage environments but may have limited lockfile support in some scenarios and different defaults for project layout.
PDM’s edge: Consistent lockfile handling across projects, direct interplay with pyproject TOML metadata, and a reusable plugin ecosystem that isn’t tightly coupled to a single build backend.
This project (PDM)
Distinguishing factors: PDM reads metadata from a standardized pyproject.toml, supports lockfiles, and offers a plugin architecture that can be extended by third-party distributions. It emphasizes freedom in choosing a build backend and includes an opt-in centralized cache for speed and disk space efficiency.

In short, PDM positions itself as a versatile, standards-forward tool that respects the modern packaging landscape while delivering practical features that teams need for real-world projects.

Installation

PDM requires Python 3.10 or higher. If you’re looking for a quick setup, you can install a standalone binary directly or follow alternative installation paths. The project also provides release assets with binary distributions for convenient setup.

Installation via binary (recommended)
Linux/macOS:
- bash
- curl -sSL https://pdm-project.org/install.sh | bash
Windows:
- PowerShell
- powershell -ExecutionPolicy ByPass -c "irm https://pdm-project.org/install.ps1 | iex"
Alternative installation methods
You can also install via Python scripts or package managers if you prefer a more traditional approach. See the installation section in the official documentation for additional options.
Standalone binary and release assets
For those who want a distribution-independent path, the standalone binaries provide a straightforward setup experience.

Note: After installation, you’ll typically initialize a project and begin working with pyproject.toml metadata, dependencies, and lockfiles as you manage your project’s packaging and runtime requirements.

Packaging status badge is often shown in project pages to indicate release and packaging coverage across ecosystems.

Quickstart

Getting started with PDM is designed to be approachable. Here are a few practical steps to help you spin up a new project and begin managing dependencies.

Create a new PDM project
Command:
- pdm new my-project
This prompts you to answer a short set of questions, and it automatically creates a PDM-managed project with a pyproject.toml file ready for use.
Install dependencies
Command:
- pdm add requests flask
You can add multiple dependencies in a single command. The tool resolves compatible versions and updates the lockfile to reflect what is locked for each package.
Review the lockfile
Inspect the pdm.lock file to understand the exact resolved versions and sources used for your project’s dependencies.
Additional notes
PDM supports standard project metadata in pyproject.toml and uses a robust resolver to handle complex dependency graphs.
You can switch build backends, customize plugin behavior, and extend PDM with community or custom plugins.

This quickstart is designed to help you move from project creation to dependency management with minimal friction, enabling you to focus on development rather than tooling quirks.

The PDM Ecosystem

PDM sits at the center of a growing ecosystem of plugins, extensions, and community resources. A curated list of plugins and resources—often referred to as the Awesome PDM collection—highlights how you can extend and enhance PDM’s capabilities. The ecosystem reflects a community-driven approach to tooling where developers contribute enhancements that address recurring needs in packaging, distribution, and development workflows.

Awesome PDM: A curated repository of plugins and resources to extend PDM’s functionality
Sponsor and community support: The project receives sponsorship and contributions from the Python packaging ecosystem
Documentation and examples: A pattern of clear documentation, examples, and tutorials helps new users become productive quickly

In addition to core functionality, PDM encourages ecosystem growth through its plugin system, which allows developers to share and reuse plugins that integrate seamlessly into the project’s workflow. This extensibility is particularly valuable for organizations that require custom packaging steps, specialized build processes, or unique deployment pipelines.

Sponsors image represents the ongoing community and industry support for the project.

Experimental Features and Advanced Configurations

PDM also explores experimental configurations that push beyond the basics, offering users the option to tailor their environment to unique workflows.

PEP 582 experiment
Enable a project-local installation approach by configuring:
- pdm config python.use_venv False
This makes PDM install packages into a local project folder instead of a virtual environment, a workflow similar to how npm installs into node_modules. It’s experimental and designed for scenarios where you want to minimize or avoid virtual environments entirely.
UV integration
uv is a fast Python package installer written in Rust. PDM can be configured to use uv for faster installations. Note: uv does not work with PEP 582.
Enable integration with a configuration setting such as:
- pdm config use_uv true

Experimental features offer exciting possibilities but may come with caveats or compatibility considerations. When experimenting with PEP 582 or uv, it’s advisable to test thoroughly in a non-production environment and stay aware of potential edge cases as the ecosystem evolves.

Badges, Governance, and Documentation

PDM’s presence in open source communities is often expressed through badges and documentation that communicate status, reliability, and project health. The project encourages developers to include badges in their READMEs to reflect sponsorship, documentation quality, and packaging status. For example, a standard badge setup might include:

A sponsorship badge indicating sponsor support
Documentation and docs status badges
A badge to indicate the PyPI version and packaging status
A downloads badge to show the project’s popularity over time

These badges serve as a quick signal to users about the project’s maturity, activity, and community support.

Additionally, PDM emphasizes clear documentation. The Chinese language version of the README is available to broaden accessibility, and the official Docs site provides guidance and examples to help both beginners and advanced users.

Sponsors and Credits

PDM benefits from community and organizational support that sustains its development, maintenance, and ecosystem growth. Sponsors play a crucial role in ensuring ongoing improvements, documentation, and bug fixes. A dedicated sponsors image showcases the breadth of support and highlights the collaborative nature of the Python packaging community.

Credits for inspiration and ideas are given to projects that influenced PDM’s approach, including pyflow and poetry. Acknowledging the foundations that shaped PDM helps new contributors understand the historical context and design choices that guide current development.

Inspiration from pyflow
Inspiration from poetry
Ongoing sponsorship and community contributions

For those who want to support the project, links to sponsor pages and related resources are provided, offering a straightforward path to contribute financially and help sustain the ecosystem.

Licensing

PDM is open source under the MIT license. This choice emphasizes a permissive, widely adopted license that encourages usage, modification, and redistribution with minimal restrictions. The license file in the repository provides the full terms and conditions, ensuring that users and contributors understand their rights and responsibilities.

The open-source nature of PDM invites collaboration and transparency. By sharing the codebase, documentation, and tooling, the project aims to accelerate the adoption of best practices in Python packaging and to empower developers to create robust, maintainable software.

Conclusion

PDM represents a thoughtful, modern approach to Python packaging and dependency management. It embraces the standards-driven world defined by PEP 517 and PEP 621 while offering practical features designed for real-world development and distribution. With a strong plugin system, flexible build backend options, and an ecosystem that values collaboration, PDM gives developers a compelling path forward for packaging, environments, and project metadata management.

If you’re looking for a tool that aligns with contemporary packaging standards, speeds up your installation and build processes, and provides an extensible framework for customization, PDM is worth exploring. The project invites you to try the installation paths, create your first PDM project, and experiment with features like the centralized cache and experimental PEP 582 workflows. By engaging with the community, you’ll have access to documentation, plugins, and the ongoing momentum of a tooling ecosystem designed to improve Python development workflows.

Images and visual cues accompany the text to illustrate the project’s branding and sponsorship structure. The PDM logo, various badges, and the sponsor artwork provide a visual anchor to the narrative, reinforcing the sense of an active, well-supported project. Whether you’re a library author, a vendor, or a developer seeking better control over your tooling, PDM offers a modern, flexible, and standards-aligned path forward.

If you’d like to get involved, consider exploring the repository, checking out the plugins ecosystem, or contributing to documentation and examples. Your involvement helps shape the future of Python packaging and makes it easier for others to adopt and benefit from modern tooling.

Images referenced and included from the Input:

PDM logo: https://raw.githubusercontent.com/pdm-project/pdm/main/docs/assets/logo_big.png
Docs badge: https://img.shields.io/badge/Docs-zensical-blue?style=for-the-badge
Sponsor badge: https://img.shields.io/badge/Sponsor-Python%20packaging%20ecosystem-ea4aaa?logo=githubsponsors&logoColor=white&style=for-the-badge
Sponsor showcase: https://cdn.jsdelivr.net/gh/pdm-project/sponsors/sponsors.svg
Additional badges (examples in README): https://img.shields.io/twitter/follow/pdm_project?label=get%20updates&logo=twitter&style=for-the-badge
PyPI badge: https://img.shields.io/pypi/v/pdm?logo=python&logoColor=%23cccccc
Documentation and other status badges: various badge URLs included in the Input (e.g., codecov, repology, pepy)

If you’d like, I can tailor the sections further, adjust the word count, or reformat the content to suit a specific blog platform or audience.

PDM