Eventsim

Uses Poisson processes and log-normal distributions to simulate user arrivals and session times, closely mimicking real web traffic patterns as described in the README.

Allows precise control over parameters like user growth, damping factors, and state transitions via JSON configuration files, enabling tailored data generation for testing scenarios.

Relies on seeded pseudo-random number generators, ensuring the same configuration produces identical data sets every time, which is ideal for reliable testing and debugging.

Can directly output events to Apache Kafka, facilitating easy integration with modern stream processing pipelines for real-time data testing, as highlighted in the features.