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Nixtla/statsforecast

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Lightning ⚡️ fast forecasting with statistical and econometric models.

15 mentions on Hacker News by 6 people: 10 stories, 5 comments · first 2021-12-06 · latest 2025-03-20

Mentions per year 15 mentions · busiest year 2022 (10)
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  1. ▲ 3
    Statsforecast: Fast Python forecasting with statistical and econometric models
    story by klaussilveira · 2025-03-20 · 0 comments
  2. I can't find the TimeGPT-1 model. LICENSE Apache-2 https://github.com/Nixtla/statsforecast/blob/main/LICENSE Mentions ARIMA, ETS, CES, and Theta modeling
    comment by iFire · 2023-10-13 · in TimeGPT-1
  3. …They are currently the most mature timeseries packages. [0] https://unit8co.github.io/darts/ [1] https://github.com/Nixtla/statsforecast
    comment by EricLeer · 2023-09-27 · in Prophet: Automatic Forecasting Procedure
  4. ▲ 4
    Statistical methods outperform BigQuery's Auto ML
    story by maxmc · 2023-02-28 · 0 comments
  5. ▲ 3
    Statistical methods outperform Amazon’s ML Forecast
    story by maxmc · 2022-12-12 · 1 comment
  6. ▲ 222
    Statistical vs. Deep Learning forecasting methods
    story by maxmc · 2022-12-01 · 81 comments
  7. ▲ 1
    Simple Seasonal Naive: faster and more accurate than Prophet and NeuralProphet
    story by maxmc · 2022-11-28 · 1 comment
  8. ▲ 2
    Complex Exponential Smoothing (CES) is now available in Pyhton
    story by maxmc · 2022-10-10 · 0 comments
  9. ▲ 1
    Statistical Forecast: lightning fast statistical and econometric forecasting
    story by nateb2022 · 2022-09-03 · 0 comments
  10. …to test the model against simpler models (ETS in this case) using the StatsForecast library ( https://github.com/Nixtla/statsforecast/ ).
    comment by fedegr · 2022-08-17 · in Exponential Smoothing: faster and more accurate than NeuralProphet
  11. …of events created on Facebook). We can conclude from the results comparing AutoARIMA vs. Prophet ( https://github.com/Nixtla/statsforecast/tree/main/experiment... , using the same datasets as in the ETS vs. NeuralProphet experiment) that…
    comment by fedegr · 2022-08-17 · in Exponential Smoothing: faster and more accurate than NeuralProphet
  12. ▲ 161
    Exponential Smoothing: faster and more accurate than NeuralProphet
    story by maxmc · 2022-08-17 · 42 comments
  13. ▲ 1
    Exponential Smoothing (ETS) for Python
    story by maxmc · 2022-07-19 · 1 comment
  14. ▲ 2
    Show HN: Fast and robust Auto Arima in Python
    story by maxmc · 2022-02-21 · 0 comments
  15. …developed. About benchmarking using statistical models, we highly recommend using statsforecast ( https://github.com/Nixtla/statsforecast ) that we created. It is designed to be highly efficient in fitting statistical models on millions of…
    comment by fedegr · 2021-12-06 · in Automated Time Series Processing and Forecasting