Repository History
5 repositories tagged with Asynchronous
MRQ: A Distributed Python Task Queue with Redis and Gevent
MRQ is a distributed worker task queue written in Python, leveraging Redis and gevent for efficient task management. It aims to combine the simplicity of RQ with the performance capabilities of Celery, offering a robust solution for handling heterogeneous jobs. Developed by Pricing Assistant, it provides a comprehensive dashboard, per-job logs, and flexible job management features.
requests-html: Pythonic HTML Parsing with JavaScript Support
requests-html is a Python library designed to simplify HTML parsing and web scraping. It extends the familiar Requests experience with powerful parsing capabilities, including full JavaScript support via Chromium, CSS selectors, and XPath. This makes it an ideal tool for developers needing to interact with dynamic web content.
Grab: A Powerful Python Web Scraping Framework
Grab is a robust Python web scraping framework designed to simplify complex data extraction tasks. It provides comprehensive tools for handling network requests, processing scraped content, and managing asynchronous operations through its powerful Spider component. Developers can leverage features like automatic cookie support, HTTP/SOCKS proxies, and XPath queries for efficient web data collection.
Django Channels: Developer-Friendly Asynchrony for Django
Django Channels extends Django to bring powerful asynchronous capabilities, including WebSockets and long-poll HTTP, to your projects. It integrates seamlessly using familiar Django design patterns, offering a flexible framework for building real-time applications. As an official Django Project, it ensures robust support and continuous development.
Huey: A Lightweight Python Task Queue for Redis, SQLite, and More
Huey is a lightweight and simple Python task queue designed for various storage backends like Redis, SQLite, or in-memory. It provides a clean API for scheduling tasks, retrying failures, managing recurring jobs, and executing them efficiently across multiple processes, threads, or greenlets. This library offers a robust solution for asynchronous task management in Python applications.