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Add OmniOracle — automatic statistical discovery engine (#290)

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Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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cesare panzeri
2026-03-22 22:01:48 -03:00
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co-authored by Claude Opus 4.6
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@@ -218,6 +218,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [tsmoothie](https://github.com/cerlymarco/tsmoothie) - A python library for time-series smoothing and outlier detection in a vectorized way. - [tsmoothie](https://github.com/cerlymarco/tsmoothie) - A python library for time-series smoothing and outlier detection in a vectorized way.
- [pmdarima](https://github.com/alkaline-ml/pmdarima) - A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function. - [pmdarima](https://github.com/alkaline-ml/pmdarima) - A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
- [gluon-ts](https://github.com/awslabs/gluon-ts) - vProbabilistic time series modeling in Python. - [gluon-ts](https://github.com/awslabs/gluon-ts) - vProbabilistic time series modeling in Python.
- [OmniOracle](https://github.com/cesabici-bit/omni-oracle) - Automatic discovery of non-trivial statistical relationships across 500+ time series from FRED, World Bank, EIA, and NOAA using mutual information screening, Granger causality, and FDR correction.
- [functime](https://github.com/functime-org/functime) - Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data. - [functime](https://github.com/functime-org/functime) - Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
### Calendars ### Calendars