Time-Aligned Peaks (TAP): A Tool for Visualising Multi-Series Peak Co-Occurrence

Time-Aligned Peaks (TAP) is a Python tool for analysing and visualising peak events across multiple time series. TAP pairs a conventional line plot with a stacked peak-presence timeline sharing the same x-axis, making co-occurring peaks immediately visible while preserving alignment. The pipeline ingests tabular data, performs unified timeline alignment with configurable resampling and missing-value policies, detects peaks using a simple slope-change criterion and exports reproducible artefacts: a combined image, a timestamped peak report and a binary peak matrix. TAP supports fast, reliable inspection of multi-series peak dynamics in small-to-medium datasets with single-command reproducibility.