Packages
Generates and validates email authentication headers (DKIM, SPF, DMARC, ARC) and packages validation results into Authentication-Results headers for email messages.
However, the 781-day release lag and lack of active development mean you should verify that the embedded PSL is current for your use case and be prepared to maintain…
Authlib provides a complete implementation of OAuth 1.0, OAuth 2.0, and OpenID Connect 1.0 for building both authentication clients and servers, with built-in support for JWS, JWK, JWA, and JWT standards.
Python client for the Twilio Authy two-factor authentication API, supporting one-time passwords via SMS/voice, soft tokens (TOTP), and push authentication.
Python client library for SpiceDB that enables applications to query and manage permissions through Authzed's gRPC API, supporting both core permission checks and materialized view operations.
Install it if you're using Authzed/SpiceDB for authorization; skip it if you don't need that specific service.
Automatically enables tab shell completion for Bash, Zsh, and Fish in Click CLI applications with minimal setup.
Quantizes large language models to lower bit-widths using the GPTQ algorithm, reducing model size and memory requirements while enabling faster inference on consumer and enterprise GPUs.
However, install with caution: the repository is archived (no updates since March 2024), so you will not receive compatibility fixes if torch, transformers, or CUDA…
Provides a graphical interface to convert Python scripts into standalone Windows executables using PyInstaller, eliminating the need to manually configure command-line options.
AutoRound quantizes large language models and vision-language models to 2–4 bits with minimal accuracy loss, using sign-gradient descent and supporting multiple export formats and inference backends.
Autobahn provides WebSocket and WAMP (Web Application Messaging Protocol) implementations for Python, enabling bidirectional real-time messaging and remote procedure calls over WebSocket on Twisted and asyncio.
Install it if you need WebSocket or WAMP for real-time messaging.
Generates a structured table of contents for auto-documented Python classes in Sphinx, organizing class members into meaningful sections while collapsing inherited methods to improve navigation.
However, the unclear license and dormant maintenance mean you should verify license compatibility upfront and be prepared to maintain a fork if critical bugs emerge.
Autocommand converts a Python function into a command-line program by automatically generating an argparse parser from the function's signature, handling arguments, options, type conversion, and help text generation.
Sphinx extension that automatically generates documentation for pydantic models and settings, integrating pydantic's field metadata (defaults, aliases, constraints) directly into Sphinx autodoc output.
A Sphinx extension that enhances autodoc with automatic summary tables for classes, methods, functions, and attributes in generated API documentation.
Autodynatrace wraps the Dynatrace OneAgent SDK to automatically instrument Python applications for transaction tracing and code-level visibility with minimal code changes.
Autoevals provides automatic evaluation methods for AI model outputs, including LLM-as-a-judge, heuristic, and statistical approaches, with built-in support for subjective tasks like fact-checking and safety assessment.
AutoFaker generates anonymous test data and objects automatically, reducing boilerplate in unit test setup by creating instances of built-in types, dataclasses, and custom classes with minimal configuration.
autoflake removes unused imports and unused variables from Python code by analyzing it with pyflakes, and optionally removes useless pass statements.
A framework for building AI agents that communicate with each other and with language models to solve tasks through multi-agent collaboration and orchestration patterns.
However, be aware it receives only critical fixes and security patches—no new features.
Provides a high-level API for building multi-agent applications with preset agent behaviors and predefined multi-agent design patterns, built on autogen-core.
AutoGen Core provides a runtime and foundational interfaces for building event-driven, distributed AI agent systems using the Actor model, enabling local development with a path to cloud deployment.
However, the aging maintenance status (318 days since last release) means you should verify that the current version meets your stability and feature needs before…
Provides extensible component implementations for the AutoGen framework, allowing developers to build and integrate custom agents and tools into multi-agent systems.
However, the aging maintenance status (318 days since last release) means you should verify that the components you need are stable and compatible with your…
AutoGluon automates machine learning model training and deployment across tabular, time series, image, text, and multimodal data with minimal code.
Install it if you need to train accurate ML models quickly across tabular, time series, or multimodal data without manual tuning.
Provides shared utilities and common infrastructure for AutoGluon's automated machine learning framework, supporting tabular, time series, multimodal, and image data tasks.
AutoGluon Core provides the foundational infrastructure for automated machine learning, enabling training of high-accuracy models on tabular, time series, image, and text data with minimal code.
Automates feature engineering and preprocessing for machine learning pipelines, integrating with AutoGluon's broader ML automation framework to handle tabular, time series, and multimodal data preparation.
AutoGluon Multimodal automates machine learning on image, text, and mixed-data tasks, training and deploying high-accuracy models with minimal code using deep learning and foundation models.
Automates machine learning model training and prediction on tabular data with minimal code, handling feature engineering, algorithm selection, and hyperparameter tuning internally.
Automates machine learning for text data, training and deploying high-accuracy models with minimal code through AutoGluon's text prediction interface.
AutoGluon TimeSeries automates machine learning for time series forecasting, training and deploying high-accuracy models with minimal code using deep learning and statistical approaches.
Automated machine learning for image classification and object detection, handling model selection, hyperparameter tuning, and training with minimal code.
However, the latest release is from 2023-01-11, so verify ongoing support and compatibility with your target environment before committing to production use.
Autograd automatically computes derivatives of Python and NumPy code, supporting both reverse-mode (backpropagation) and forward-mode differentiation for gradient-based optimization.
Provides autograd-compatible derivatives for incomplete gamma and beta functions, enabling automatic differentiation through special mathematical functions.
An agentic coding CLI with an interactive terminal UI that integrates with Cloudflare's stack, supporting multiple AI models with automatic fallback, file and shell command tools, and git/deployment integration.
However, it is early-stage (Alpha, 26 days old, 0 stars), targets a specific stack (Cloudflare-first), and has a dense dependency tree.
Autologging provides decorators to automatically inject logging and method-call tracing into Python classes and functions, eliminating boilerplate setup code and allowing tracing to be configured independently from application logging.
Automat provides a Python library for building finite-state machines using type-safe, method-based interfaces rather than generic input/output objects, letting you organize stateful behavior while keeping a clean API.
However, the 485-day gap since the last release suggests the project is aging; verify that it meets your Python version requirements (3.9+) and that its approach fits…
Automaton provides state machine classes and utilities for Python, enabling you to define, validate, and execute state transitions in your application logic.
Install it if you're building workflows, event handlers, or any system where state transitions need to be validated and controlled; skip it if your use case is simple…
Automatically pipes terminal output to a pager like `less` when needed, preserving colors and respecting redirects, with just one line of code.
autopep8 automatically reformats Python code to comply with PEP 8 style rules, using pycodestyle to identify formatting violations and applying fixes across indentation, whitespace, and comment spacing.
Install it if you want to automate formatting rather than enforce it via linting alone.
Autoray provides automatic dispatch of array operations across multiple tensor backends (NumPy, PyTorch, JAX, CuPy, MLX, Dask, TensorFlow, and others) without requiring backend-specific code.
Install it if you're building libraries or algorithms that should work across NumPy, PyTorch, JAX, or other array-like libraries.
Python bindings for reading, writing, and modifying AUTOSAR arxml files with full validation support and cross-reference handling.