Python classes for safe deployment and management of Threads, Processes, synchronization primitives (Locks, Barriers, etc), thread-safe, and process-safe Python data structures (lists, dicts, sets, etc).
A high-performance Python logging library designed for multiprocessing environments. Features colored output, multiprocessing support, and flexible configuration. Benchmarks show up to 29K msgs/sec with minimal memory footprint. Zero external dependencies.
A Python library for safe and efficient logging in multiprocessing applications, ensuring thread-safe and process-safe logging across complex, multi-process Python project.
