Research · Vendor site 2026-10-04
StatsForecast is Nixtla’s open-source Python library for fast statistical and econometric time-series forecasting. It bundles AutoARIMA, ETS, theta, intermittent-demand, and volatility models with optional distributed backends and extensive tutorials in Nixtlaverse docs.
Understand the total cost
Free
Free
Docs instruct pip install statsforecast or conda-forge installs under the open-source package with no license fee listed.
No retained pricing changes yet. A current price alone does not establish a historical trend.
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Yes. StatsForecast has an ongoing free plan. Docs instruct pip install statsforecast or conda-forge installs under the open-source package with no license fee listed.
StatsForecast is listed as free. No paid plan with a published price was found.
API or developer access is mentioned. Python API documented under StatsForecast core methods, models, and optional Dask, Ray, or Spark backends.