A fast and reliable background task processing library for Python 3.

Redis for humans. 🌎🌍🌏

Distributed lock based on Database and SQLAlchemy.

Lock mechanism implemented with PostgreSQL advisory locks.

Postgres-native application infrastructure: one SQL install replaces the separate services you would otherwise run for identity, configuration, metering, coordination, and messaging.

Redis distributed lock implementation for Python based on Pub/Sub messaging

A highly consistent distributed lock service based on raft

Demo project using python-redis-cache to prevent cache stampedes.

Locking solution for python, lock based on Redis. And rate limiter base on sliding window algorithms

⚡ Optimize Python caching with async request coalescing to cut duplicate LLM calls and reduce backend costs efficiently.

Python implementation of a distributed resource allocator using Redis. Provides thread-safe health checking, resource allocation, and automatic garbage collection for distributed systems.

A distributed lock based on hdfs

Fault-tolerant running commands on dedicated server using locks in Redis.

A robust algorithm for a distributed lock on google cloud storage written in Python

Shared Python utilities for coordinating GPU access across multiple ML services. Provides Redis-based distributed GPULock, lazy-loading GPUModelManager with idle timeout, and GPU health/memory monitoring helpers.

Distributed locking implementation in python with DynamoDB backend

Distributed locking for GPUs

Redis distributed locks in Python

a full-stack ticket booking system that deliberately confronts these problems and solves them with PostgreSQL row-level locking, atomic transactions, idempotent operations, and background cleanup. Every solution is tested with real concurrent database operations

Redis-backed idempotency and fenced locks for background jobs.