Experimental seismic monitoring dashboard (Streamlit frontend + offline pipeline)

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Hi everyone,

I’ve built an experimental Streamlit dashboard that visualizes outputs from a seismic data analysis pipeline.

The setup is intentionally split into two parts:

  • An offline Python pipeline processes multistation waveform data

  • It applies a fixed, fully reproducible workflow (normalization, spectral whitening, coherence metrics, etc.)

  • The same pipeline is applied across all regions without parameter tuning, enabling direct comparison

  • Results are stored and then explored through a lightweight Streamlit frontend

The Streamlit app itself is purely a visualization layer:

  • browsing different regions

  • inspecting temporal evolution

  • comparing coherence patterns across stations

This is not a predictive system, just an exploratory monitoring tool.

I’d be especially interested in feedback on:

  • whether this offline pipeline + Streamlit frontend architecture makes sense long-term

  • how the UI/UX could be improved for exploring this kind of time-series data

Also open to suggestions on:

Pipeline / reproducibility:

Thanks!