pdm-project/pdm

Features

• Python Package Managers - Provides comprehensive management of Python project dependencies, virtual environments, and package installations.
• Dependency Lockfiles - Generates cross-platform lockfiles with checksums to ensure reproducible dependency environments.
• Build Reproducibility Lockfiles - Provides cross-platform lockfiles that pin exact dependency versions and checksums for reproducible environments.
• Runtime Provisioning - Downloads and manages standalone pre-compiled Python interpreter builds to decouple projects from system-wide installations.
• Dependency Resolution - Resolves complex version constraints and source repositories to find compatible package versions.
• Python Environment Managers - Creates isolated environments and manages multiple interpreter versions for project-specific dependencies.
• Virtual Environment Managers - Provides isolated runtime environments to prevent dependency conflicts between different software projects.
• Dependency Resolvers - Calculates compatible package versions and generates cross-platform lockfiles to ensure reproducible environments.
• Python Distribution Packaging - Builds and prepares Python projects into standardized distribution archives for publication to registries.
• Virtual Environment Isolation - Creates isolated execution spaces for Python projects to prevent dependency version conflicts.
• Multi-Version Installations - Automatically downloads and installs multiple specific versions of the Python runtime using standalone builds.
• Python Runtime Managers - Installs and manages multiple versions of the Python interpreter using standalone builds.
• Package Dependency Resolution - Implements a constraint-based solver to determine compatible package versions and generate a deterministic dependency graph.
• Build Artifact Caching - Stores decompressed build artifacts locally to speed up dependency resolution and installation cycles.
• Parallel - Employs a parallel installation pipeline to download and install multiple dependencies simultaneously for faster setup.
• Parallel Installations - Implements a parallel installation pipeline to accelerate the setup of project dependencies.
• Environment Managers - Manages isolated runtime environments and language versions to separate package installations.
• Package Caches - Maintains a shared global directory of downloaded distributions to eliminate redundant network requests.
• Project Orchestration - Coordinates the execution of custom project scripts and automation tasks via centralized configuration.
• PEP Standards - Ensures interoperability by mapping project specifications to official Python Enhancement Proposal metadata and packaging standards.
• Remote Repository Publishing - Uploads built distributions to remote repositories using secure authentication and trusted publishing mechanisms.
• Project Metadata Specifications - Uses standardized project metadata specifications to define build requirements and ensure tool interoperability.
• Environment Synchronizers - Aligns the currently installed packages in an environment to match the exact versions specified in a lockfile.
• Distribution Package Generators - Generates standardized distributable archives from source directories to prepare projects for remote publication.
• Platform Extension Plugins - Provides an extensible plugin system that allows users to share and integrate custom distributions.
• Interpreter Switching - Allows users to toggle between different active Python interpreter versions.
• Plugin Installation and Management - Installs and organizes project-specific extensions to add modular capabilities to the environment.
• Plugin-Based Architectures - Features a modular extension architecture that allows adding new capabilities via external plugin distributions.
• डेवलपर टूल्स - Modern package and dependency manager.
• Package Managers - Modern package manager supporting current packaging standards.

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