Repository History
4 repositories tagged with Redis
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.
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.
KeyDB: A Multithreaded, High-Performance Fork of Redis
KeyDB is a high-performance, multithreaded fork of Redis, designed for enhanced memory efficiency and high throughput. It maintains full compatibility with the Redis protocol, modules, and scripts, making it a seamless drop-in replacement. KeyDB also introduces advanced features like Active Replication and a MVCC architecture for non-blocking operations.
Stream-Framework: Build Scalable News Feeds and Activity Streams in Python
Stream-Framework is a powerful Python library designed for building robust news feeds, activity streams, and notification systems. It leverages Cassandra and/or Redis for high performance and scalability, making it ideal for applications requiring real-time feed capabilities. The library provides asynchronous tasks and reusable components, simplifying the development of complex feed-based systems.