Adaptive Executor#
Adaptive thread pool executor with dynamic scaling policies for optimal Python concurrency performance.
Adaptive Executor is a high-performance Python library that intelligently scales thread pool concurrency based on real-time system resources and time-based policies. Perfect for applications that need to optimize performance while maintaining system stability.
Key Benefits: * Dynamic Scaling: Automatically adjusts worker threads based on CPU usage, memory consumption, and time of day * Resource-Aware: Prevents system overload by monitoring system resources in real-time * Flexible Policies: Combine multiple scaling criteria for customized behavior * Production Ready: Built with robust error handling and graceful shutdown mechanisms
Perfect For: * Web scraping applications with time-based scheduling * Data processing pipelines with resource constraints * Background job processing with adaptive scaling * Any application requiring intelligent thread management
Features#
Time-based scaling for day/night optimization
CPU & memory monitoring for resource-aware execution
Multi-criterion aggregation for complex scaling policies
Graceful shutdown with signal handling
Thread-safe operations with semaphore-based control