Projects Tagged EWMA: Exponentially Weighted Moving Average Implementations for Time Series Smoothing, Anomaly Detection, and Real-Time Analytics
Discover projects tagged ewma that implement the exponentially weighted moving average (EWMA) for time series smoothing, volatility estimation, anomaly detection, and streaming analytics. This curated list of projects shows open-source libraries, production deployments, and research prototypes with practical code examples, parameter tuning guidance (alpha, decay), performance considerations, and integration patterns for real-time pipelines and batch forecasting. Use the filters to narrow by stack, language (Python, R, JavaScript, Rust, Go), use case, or maturity to compare single-pass EWMA versus windowed alternatives, evaluate latency and memory trade-offs, and identify implementations suited for monitoring, risk management, or feature engineering. Explore these projects to clone repos, contribute, or apply EWMA best practices in your analytics and alerting workflows.
