Add NanoForecast to Libraries table - #49
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NanoForecast is a lightweight time series foundation model for streaming inference and edge deployment, with ONNX export and HF Hub integration.
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📝 WalkthroughWalkthroughA single row for NanoForecast is added to the "Libraries" table in ChangesREADME Library Entry
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~1 minute Poem
🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Summary
Add NanoForecast to the Libraries table — a lightweight time series foundation model (200K–6.5M params) with:
Why it fits
This is a new category of TS model — tiny enough to be a library dependency, yet capable of zero-shot forecasting with streaming inference. No other entry in the table offers ONNX edge deployment + streaming RNN + HF Hub integration in a single package.
Checklist
Summary by CodeRabbit