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Catalogue record

github.com

StatsForecast

Lightning-fast statistical forecasting with ARIMA, ETS, CES, and Theta models. Optimized for high-performance time series workloads.

Checked Sep 27, 2026Evidence completeness: evidenceREADME refreshed Oct 16, 2026
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Useful context before you commit.

Lightning-fast statistical forecasting with ARIMA, ETS, CES, and Theta models. Optimized for high-performance time series workloads.

Best for

The record does not specify a primary audience or workflow.

Known limitations

Users whose needs do not match the tool's listed category or workflow.

Verify current plan terms with the provider.

Evidence summary

Why this fit

The record does not specify a primary audience or workflow.

Known limitations

Users whose needs do not match the tool's listed category or workflow.

Catalogue confidence

Catalogue data checked Sep 27, 2026.

GitHub-backed record with source-attributed context.

Repository context

Nixtla

GitHub / Nixtla/statsforecast

Open source README(opens in a new tab)

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Listed in active catalogue
Freshness
Catalogue updated Sep 27, 2026
Source
GitHub-backed record
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