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@@ -1,5 +1,7 @@ # transivent +<img src="logo.svg" width="120" markdown="1"> + `transivent` is a Python library for detecting and analysing transient events (~spikes) in time-series data. It provides a flexible and configurable pipeline for processing waveform data, identifying events based on signal-to-noise ratio, and visualizing the results. The library is designed to handle large files efficiently through chunked processing. Additionally, `transivent` includes tools for diffusion analysis of detected events, including Mean Square Displacement (MSD) calculation, autocorrelation analysis, and statistical visualization. |