{"repo":"ZipengWu365/EchoTime","free":true,"listed":false,"github":"https://github.com/ZipengWu365/EchoTime","clone":"git clone https://github.com/ZipengWu365/EchoTime.git","description":"EchoTime: explainable structural similarity for time series and time-series datasets, with shareable HTML reports and agent-ready JSON.","language":"Python","stars":22,"topics":["agent-tools","data-visualization","dataset-similarity","explainable-ai","longitudinal-data","scientific-python","similarity","structural-similarity","time-series","html-reports"],"license":"MIT","category":"analytics","readme_excerpt":"EchoTime Compare time series and datasets with explainable structural similarity. EchoTime is an explainable time-series similarity package for humans and agents. It is built for the moment when a raw distance score is not enough: compare trajectories, compare datasets at the structural level, and hand the result to another person or another agent. What it is: EchoTime compares time series and time-series datasets, explains why they match or differ, and emits compact JSON plus shareable HTML reports. What it is not: a forecasting library, a classifier library, a fastest-possible DTW engine, or a motif-mining toolkit. Project snapshot - Package name: echotime - Core promise: EchoTime compares time series and time-series datasets, explains why they match or differ, and emits compact JSON plus shareable HTML reports. - Best for: analog search, regime comparison, irregular longitudinal data, and dataset-level similarity handoff - Primary outputs: plain-English summaries, shareable HTML reports, and compact agent-ready JSON - Live docs and homepage: https://zipengwu365.github.io/EchoTime/ - Repository: https://github.com/ZipengWu365/EchoTime 60-second quickstart Expected output starts like this: Use your own data If you already have a file, start by matching it to one of these shapes: your data what EchoTime expects first API --- --- --- one numeric series a 1D array or one numeric pandas column profile series(...) wide table one timestamp column plus one or more numeric columns p","default_branch":null,"files":null,"tree":[],"storefront":"/r/ZipengWu365","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/ZipengWu365/EchoTime/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}