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Forecast Your Numbers with Google's TimesFM

A guide to TimesFM, Google Research's open forecasting model, on your own Mac: which version you may use for business, a real test on public data, and a script that forecasts any CSV with one command.

0 €

Enter your email. You get a 6-digit code, then the download starts.

A Mac (or Linux/Windows) with Python 3.10+ and uv. The first run downloads the TimesFM 2.5 model (about 0.93 GB, Apache-2.0). Runs locally; your data stays on your computer. The BigQuery route is billed by Google.

What you get

  • Licence box 2.5 is Apache-2.0 for business use; 3.0 weights are non-commercial.
  • Install Three commands on a Mac, then the smallest possible forecast.
  • Real test 26 weeks of Wikipedia views hidden and forecast, with the error.
  • forecast_csv.py Your CSV in, forecast CSV and chart out, with a backtest option.
  • No-code route BigQuery AI.FORECAST and Connected Sheets, and when to use them.

In three steps

  1. Unzip and open the guide PDF. Read the licence box first.
  2. Install TimesFM and run forecast_csv.py on the example file with --backtest.
  3. Or paste INSTALL-WITH-CLAUDE.md into Claude Code and forecast your own CSV step by step.

Fabian Faraz Farid · All links