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EQTransformer is a multi-task very deep neural network with an attention mechanism that is designed for earthquake signal detection and phase (P&S) picking. It has a hierarchical architecture specifically designed for earthquake signals and has been train

Fault Slip Potential (FSP)

Fault Slip Potential is a free tool for probabilistically screening faults near injection wells from the Stanford Center for Induced and Triggered Seismicity, developed through industry-academic collaboration.

Fingerprinting And Similarity Thresholding (FAST)

Fingerprinting And Similarity Thresholding (FAST) is a free tool for detecting earthquake waveforms in continuous seismic data using fast, approximate, similarity search.


PhaseNet is a convolutional neural network developed under tensorflow and trained to pick the arrival times of P and S waves from waveform data.

*The Stanford Center for Induced and Triggered Seismicity (SCITS) will use and develop open-source software, and it is the intention of SCITS that any software will be released under an open-source model.*