Variant B · Productized open source

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Compare time series and datasets with explainable structural similarity. This page compresses the repo into a small set of first moves: static preview, local live demo, quickstart, environment doctor, and Pages export.

Open static playground View local demo surface Open homepage

Local live demo

Use the playground if you want zero-install proof first.
Use the live demo if you want real computation on pasted arrays.
Use the quickstart if you already have Python ready.
Use the doctor and compatibility preset when your environment is crowded.

One-line quickstart

pip install echotime
python -c "import numpy as np; from echotime import compare_series; x=np.sin(np.linspace(0,8*np.pi,128)); y=np.sin(np.linspace(0,8*np.pi,128)+0.2); print(compare_series(x,y).to_summary_card_markdown())"

Environment doctor

echotime --guide doctor
# or
python -m echotime.cli --guide doctor

Use this when you suspect encoding issues, mixed scientific-stack packages, or resolver noise.

Static playground

Preview similarity reports, visuals, and flagship cases without installing Python or starting a server.

Colab quickstart

Open a starter notebook in a hosted notebook environment.

uvx CLI

Run the CLI in an isolated ephemeral environment when packaging allows it.

Local demo server

Run a tiny local web app that turns pasted values into similarity verdicts on your own machine.

Local live demo

echotime-demo --open-browser
# or
python -m echotime.demo_server --open-browser

Compatibility preset

echotime --write-constraints constraints/mixed-scientific-stack.txt `
  --constraint-profile mixed-scientific-stack
pip install -c constraints/mixed-scientific-stack.txt echotime

GitHub Pages export

echotime --export-pages docs
# then publish docs/ with GitHub Pages