Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
222 best points · 126 comments · 10 Hacker News posts · 4,964 GitHub stars · View on GitHub
Hacker News discussions
- Statistical vs. Deep Learning forecasting methods (222 points, 81 comments, by maxmc, 2022-12-01)
- Exponential Smoothing: faster and more accurate than NeuralProphet (161 points, 42 comments, by LevoMX, 2022-08-17)
- Statistical methods outperform BigQuery's Auto ML (4 points, 0 comments, by maxmc, 2023-02-28)
- Statistical methods outperform Amazon’s ML Forecast (3 points, 1 comments, by maxmc, 2022-12-12)
- Statsforecast: Fast Python forecasting with statistical and econometric models (3 points, 0 comments, by klaussilveira, 2025-03-20)
- Show HN: Fast and robust Auto Arima in Python (2 points, 0 comments, by maxmc, 2022-02-21)
- Complex Exponential Smoothing (CES) is now available in Pyhton (2 points, 0 comments, by maxmc, 2022-10-10)
- Exponential Smoothing (ETS) for Python (1 points, 1 comments, by maxmc, 2022-07-19)
- Statistical Forecast: lightning fast statistical and econometric forecasting (1 points, 0 comments, by nateb2022, 2022-09-03)
- Simple Seasonal Naive: faster and more accurate than Prophet and NeuralProphet (1 points, 1 comments, by maxmc, 2022-11-28)