quez 0.0.2

Pluggable, compressed in-memory queues for both sync and asyncio applications.

quez

quez is a pluggable compressed queue for high-performance, memory-efficient buffering in both synchronous and asynchronous Python applications.

This library provides a solution for managing large volumes of in-memory data, such as in streaming data pipelines, logging systems, or high-throughput servers. It transparently compresses objects as they enter a queue and decompresses them upon retrieval, drastically reducing the memory footprint of in-flight data while preserving a simple, familiar queue interface.

Key Features

• Dual Sync and Async Interfaces: Provides both a thread-safe quez.CompressedQueue for multi-threaded applications and an quez.AsyncCompressedQueue for asyncio, both sharing a consistent API.
• Pluggable Compression Strategies: Ships with built-in, interchangeable strategies for zlib (default), bz2, and lzma. The architecture allows you to easily provide your own custom compression, serialization, or encryption algorithms.
• Built-in Stats for Observability: Monitor the queue's state in real-time with the .stats property, which provides item count, total raw and compressed data sizes, and the live compression ratio.
• Designed for Performance: In the asyncio version, CPU-bound compression and decompression tasks are automatically run in a background thread pool to keep the event loop unblocked and your application responsive.
• Reduces Memory Pressure: Ideal for absorbing large, temporary bursts of data without ballooning memory usage, preventing potential swapping and performance degradation.