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.
Data scientists and engineers who need scalable classical forecasting baselines integrated with the broader Nixtlaverse stack.
Documentation warns to pin package versions because StatsForecast updates frequently and cloud TimeGPT pricing is separate from the library.
StatsForecast in Nixtlaverse covers end-to-end walkthroughs, anomaly detection, probabilistic forecasting, and distributed execution guides.
What it can do
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| Install | Installation page documents pip and conda-forge commands plus optional extras such as polars, plotly, dask, spark, and ray. | Facts sourced | 2026-10-04 |
| Models | Docs index lists statistical model references including AutoARIMA, ETS, GARCH, Croston variants, and theta families. | Facts sourced | 2026-10-04 |
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.
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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.
Docs instruct pip install statsforecast or conda-forge installs under the open-source package with no license fee listed.. This record lists ongoing free access; check the plan limits before starting.
No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.
Python API documented under StatsForecast core methods, models, and optional Dask, Ray, or Spark backends.. API access and subscription access may have different terms; consult the linked sources.
Documentation warns to pin package versions because StatsForecast updates frequently and cloud TimeGPT pricing is separate from the library.
No retained pricing changes yet. A current price alone does not establish a historical trend.
Reviewed vendor source
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