Packages
Provides auto-generated Python bindings for Pinterest's REST API, enabling programmatic access to ad accounts, analytics, and campaign management endpoints.
However, the package's own documentation recommends an alternative SDK instead; evaluate that first.
Converts Chinese characters to pinyin (romanized Mandarin pronunciation) in multiple formats, and provides prototype Chinese-to-English translation via CC-CEDICT data.
pioarduino is a build system and embedded development framework for microcontrollers and IoT devices, providing cross-platform compilation, debugging, and testing capabilities without requiring external registries.
pip is the standard installer for Python packages, enabling you to download and install packages from the Python Package Index and other indexes into your Python environment.
Provides an importable Python API that wraps pip's command-line interface, allowing programmatic access to pip functionality like version checking, listing installed distributions, and parsing requirements files.
pip-audit scans Python environments and requirements files for packages with known vulnerabilities, using the Python Packaging Advisory Database and multiple vulnerability services.
A command-line tool that uninstalls a package and automatically removes its dependencies that are no longer used by any other installed package.
However, it is abandoned (last release 2021-09-17, no active maintenance), so use it only if you accept that bugs or compatibility issues with newer pip versions will…
pip-check displays all installed packages and their update status in a formatted table, wrapping pip list output with support for both pip and uv.
Audits Python project imports against requirements.txt to find missing or unused dependencies, helping keep your dependency list accurate and complete.
pip-chill generates a minimal requirements file listing only the top-level packages you explicitly installed, filtering out their transitive dependencies.
Install it if you regularly manage Python requirements files and want a cleaner alternative to pip freeze.
Compiles multiple requirements files into locked dependency versions using pip-tools or uv, resolving transitive dependencies across files.
Install it if you manage multiple requirements files and want to lock versions across them efficiently.
A minimal test package demonstrating setuptools installation; provides no functional capability beyond serving as a hello-world example for packaging workflows.
A minimal stub package that verifies pip can successfully install and import a Python module, with no runtime dependencies.
Install it only for validation or testing scenarios, not for any production use.
A command-line tool that scans installed Python packages and outputs their license information in multiple formats (plain text, JSON, CSV, Markdown, HTML, and others).
A command-line tool that scans installed Python packages and reports their software licenses in a formatted table.
Install it if you need to audit or document the licenses of your Python dependencies—it solves a real compliance and documentation problem with minimal overhead.
Programmatically retrieve and inspect the software licenses of Python packages installed in your environment, returning structured package metadata including license information.
Parses pip requirements files with the same correctness as pip itself, using pip's own parsing code extracted into a standalone, offline-capable library.
However, do not install if you require support for pip syntax changes after December 2022 or expect ongoing maintenance—the project is dormant and will not track…
pip-review is a command-line wrapper around pip that lists available package updates and can automatically or interactively install them.
Automatically configures Python to use the operating system's certificate store for SSL/TLS verification instead of bundled certificates, working transparently with pip, requests, urllib3, and other standard Python libraries.
pip-tools provides command-line tools to compile and manage pinned Python package dependencies, ensuring reproducible and deterministic builds by resolving transitive dependencies into locked requirement files.
An interactive CLI tool that upgrades Python package versions in requirements.txt, pyproject.toml, Poetry, and Pipenv files, updating pinned versions in place.
pip2pi creates a PyPI-compatible package repository from pip requirements, enabling offline package installation and mirroring to avoid PyPI downtime or missing tarballs.
No—install only if you have a specific legacy use case and are willing to maintain the tool yourself.
PyTorch3D provides reusable components for 3D computer vision research, including data structures for triangle meshes, differentiable mesh rendering, and operations like projective transformations and graph convolution.
pipdeptree displays installed Python packages as a hierarchical dependency tree, showing parent-child relationships and reporting conflicts or cycles, with output options including JSON, Mermaid, and Graphviz formats.
Install it if you regularly need to understand or troubleshoot Python dependency relationships.
Pipe enables shell-like infix syntax for chaining operations on iterables using the `|` operator, providing lazy-evaluated transformations like filtering, mapping, grouping, and slicing.
However, maintenance is aging (last release April 2024, no recent commits), so consider it for stable use cases rather than as a foundation for mission-critical…
A Python SDK for the PipeBio cloud platform that enables programmatic access to bioinformatics workflows for antibody and peptide sequence analysis, discovery, and engineering.
Install it if you need to integrate PipeBio's biologics discovery platform into Python workflows.
Pipecat is a Python framework for building real-time voice and multimodal conversational AI agents, with support for orchestrating audio, video, AI services, and multi-agent coordination over shared buses or distributed systems.
Manages conversation flows and state machines for Pipecat AI applications, but this package is deprecated—Pipecat Flows is now integrated into pipecat-ai 1.5.0+ under the pipecat.flows namespace.
Provides a lightweight, ready-to-use web UI for testing and debugging Pipecat transports without building a custom client implementation.
Provides a ready-to-use WebRTC client UI for testing and prototyping SmallWebRTCTransport implementations, mountable directly into FastAPI applications.
Not recommended for production use without evaluation of whether the prebuilt client meets your specific requirements.
Whisker is a real-time debugger for Pipecat voice and multimodal AI applications that lets you inspect workers, pipelines, jobs, and message flow across a multi-agent system through a graphical UI.
Python module and CLI for deploying, managing, and programmatically controlling Pipecat AI agents on Pipecat Cloud.
Provides a Python client library for accessing the Pipedream APIs, with support for both synchronous and asynchronous requests, automatic OAuth token management, and built-in retry logic.
However, the license status is unclear in the metadata—verify the actual license (check the repository directly) before use in proprietary or license-sensitive contexts.
Writes data in Singer format from Python, enabling standardized data pipeline integration compatible with PipelineWise.
Pipenv automates Python virtual environment creation and dependency management, combining pip and virtualenv into a single workflow that generates locked dependency files for deterministic builds.
Install it if you want deterministic builds and a simpler alternative to managing pip and virtualenv separately.
Pypiper manages shell command execution within Python workflows, providing automatic restartability, file integrity checks, resource monitoring, and structured logging for multi-step pipelines.
Piper TTS is a local neural text-to-speech engine that converts text to speech using embedded phonemization, with support for multiple languages and voices.
Pipestat provides a standard API for reporting, storing, and retrieving pipeline results validated against a JSON Schema, with support for YAML file or PostgreSQL database backends.
Provides a design specification and parser for Pipfile and Pipfile.lock, a TOML-based format intended to replace requirements.txt for declaring Python dependencies with deterministic lock files.
Install only if you are maintaining legacy code that explicitly depends on this package or studying the history of Python dependency management.
Programmatically ensures Python packages are installed and at correct versions, with both sync and async APIs, supporting pip and uv backends for declarative dependency management.