Packages
Solves strictly convex quadratic programming problems using the Goldfarb/Idnani dual algorithm, minimizing a quadratic objective subject to linear inequality constraints.
Quadrants is a high-performance compiler that translates Python code into optimized parallel kernels for physics simulation and robotics, targeting NVIDIA GPUs, AMD GPUs, Apple Metal, Vulkan-compatible GPUs, and CPUs.
Fits the smallest-area quadrilateral that contains all points from a noisy polygon or point cloud, useful for cleaning up irregular detections before perspective correction or pattern matching.
Install it if your workflow involves cleaning up shape detections; skip it if you need active support or ongoing feature development.
Provides a comprehensive toolkit for writing QUA programs, including utilities for loop parametrization, plotting, result handling, unit conversion, data analysis, and waveform generation for quantum computing experiments.
Install it if you are writing QUA programs; skip it if you do not use Quantum Machines hardware.
Provides a `qualname()` function that emulates Python 3.3+'s `__qualname__` attribute for classes and nested functions in older Python versions by parsing source code and traversing the AST.
Install only if you are maintaining legacy Python 2 code with no path to upgrade and have verified the package works in your specific environment.
Quandl provides a Python client for accessing financial and economic data through the Quandl API, returning datasets and datatables as pandas DataFrames.
Provides type stubs for QuantConnect's Lean algorithmic trading engine, enabling IDE autocomplete and type checking for Python strategies.
QuantEcon provides computational tools and algorithms for quantitative economics research, including dynamic programming solvers, Markov chain analysis, and numerical methods built on NumPy, SciPy, and Numba.
Quantile regression forests for estimating conditional quantiles and prediction intervals, with scikit-learn compatibility and Cython optimization.
Quantities handles arithmetic and unit conversions for physical quantities with magnitude, dimensionality, and optional uncertainty, built on numpy.
QuantLib provides Python bindings to a C++ library for quantitative finance, offering tools for pricing derivatives, managing portfolios, and modeling financial instruments.
However, be aware of the threading limitations documented in the description—single-threaded or carefully partitioned multi-threaded designs are required.
QuantStats computes portfolio performance metrics (Sharpe ratio, volatility, drawdown, win rate) and generates visualizations and HTML tearsheets for analyzing investment returns.
Extracts quantities, measurements, and their units from unstructured text, disambiguating between similar units using vector similarity and Wikipedia context.
Quart is an async Python web framework that mirrors Flask's API, enabling you to build async HTTP and WebSocket applications with template rendering, JSON APIs, and streaming support.
Quart-Auth provides session-based authentication for Quart web applications through secure cookie management, allowing you to protect routes, log users in and out, and track authentication state.
However, the 596-day gap since the last release signals dormancy; verify that the package meets your security and maintenance expectations before adopting it in a new…
Adds internationalization (i18n) and localization (l10n) support to Quart web applications using Babel and pytz for language translation and timezone handling.
Quart-CORS adds Cross-Origin Resource Sharing (CORS) support to Quart applications, enabling controlled cross-origin requests in browsers by managing access-control headers for HTTP routes and WebSockets.
However, the 595-day gap since the last release and Alpha status mean you should verify compatibility with your Quart version and be prepared to maintain a fork if…
Quart-Schema adds schema validation and auto-generated OpenAPI documentation to Quart async web applications, supporting both msgspec and pydantic for request/response validation.
Install it if you're building Quart applications and want schema validation with auto-generated API docs.
quartodoc generates Python API reference documentation from docstrings using Quarto and Markdown, serving as a Sphinx alternative that integrates with Quarto projects.
However, the aging maintenance status (430 days since last release) suggests checking whether the package still aligns with current Quarto versions and your project's…
Validates Quartz-style cron expressions against the full Quartz specification, including 6- or 7-field formats, special characters, named values, and field-level constraints.
However, verify the license terms first (currently unclear in metadata) and be aware that no active development is visible—bug fixes or feature updates are unlikely…
QuDiDA performs pixel-level image domain adaptation using scikit-learn transformers, allowing you to adjust image style or appearance to match a reference image.
Queries is a simplified wrapper around psycopg2 that provides a session-based API for connecting to and querying PostgreSQL databases, with built-in connection pooling and support for both synchronous and asynchronous (Tornado) operations.
No, not for new projects.
Parses URL query strings and fragments into Python dictionaries, extracting key-value pairs from both full URLs and raw query string segments.
QuerySource provides a unified async interface to query multiple databases (PostgreSQL, MySQL, Redis, Oracle, InfluxDB, CouchDB, Druid, SQL Server) and external APIs (Salesforce, ShopperTrack, ZipCodeAPI) through a single proxy-based abstraction layer.
Parses URL query strings and POST data into properly nested Python dictionaries, handling bracket notation like `section[0]['words'][2]` that standard Django QueryDict leaves as flat string keys.
However, do not install if you require active maintenance, security updates, or support for Python versions released after 2019.
A Python client library for QuestDB that sends data via the QuestDB Wire Protocol over WebSocket, HTTP, TCP, or UDP, with support for bulk ingestion and row-by-row writes, optional TLS encryption, and authentication.
Install it if you need to ingest data into QuestDB from Python with authenticated or encrypted connections.
Questionary builds interactive command-line prompts with text input, password fields, selections, checkboxes, and confirmations, powered by prompt_toolkit.
Install it if you need to collect user input in a terminal application.
Questo provides modular, extensible CLI prompt elements (text input and list selection) that expose internal state and rendering for full customization within your own event loop.
Queuelib provides in-memory and disk-persisted queue, stack, priority queue, and round-robin collection implementations with a simple API.
Install it if you need disk-backed queues or priority/round-robin scheduling; skip it if you require thread-safety or distributed queue semantics.
Generates static chart images by encoding Chart.js configurations into URLs or retrieving rendered bytes from the quickchart.io web service.
Install it if you need to generate static chart images from Chart.js configs without managing a headless browser or charting library.
Wraps the QuickJS C library to execute JavaScript code from Python, with support for calling Python functions from JS and resource limits.
However, do not use it if you require ongoing security updates, Python version support beyond those with prebuilt wheels, or active bug fixes.
Embeds and executes JavaScript code within Python using the quickjs-ng engine, allowing bidirectional calls between Python and JavaScript with resource limits and thread-safe execution patterns.
However, verify the actual license text before use in proprietary projects, since metadata shows 'unclear' despite the description mentioning MIT.
Executes JavaScript code inside a WebAssembly sandbox from Python, with support for ES modules, TypeScript stripping, async/await, and Python-to-JS function bridging.
Implements operational transformation for Quill Delta documents and can render Delta operations to HTML, providing a Python port of the QuillJS delta library.
Quimb provides Python tools for quantum information and many-body calculations, with specialized support for tensor networks and exact quantum state simulations using numpy and scipy backends.
Install it if you're working on quantum simulations, many-body physics, or tensor network algorithms.
Quinn provides helper methods for PySpark DataFrame validation, column transformations, and data manipulation to reduce boilerplate in Spark applications.
Install it if your workflows involve frequent data cleaning, validation, or schema management.
Quip creates a web-based user interface for Python command-line applications, bridging CLI tools with a browser-based frontend.
Provides a Python client library for the Quip Automation API, allowing programmatic interaction with Quip documents and workspaces.
Quix Streams is a Python framework for building stream processing applications on Apache Kafka, enabling real-time data transformation, stateful operations, and event-driven microservices without managing server-side clusters.
Install it if you need to build Kafka-based stream processing applications in Python without managing a separate cluster—it handles state, exactly-once semantics, and…
Identifies and separates quoted text from original content in plain text and HTML email messages, and unwraps forwarded messages or replies to extract headers and body text.
However, high install friction (source-only distribution) may cause deployment friction in some environments.