Nixtla / statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Fastest and most accurate implementations of AutoARIMA, AutoETS, AutoCES, MSTL and Theta in Python.
- Out-of-the-box compatibility with Spark, Dask, and Ray.
- Probabilistic Forecasting and Confidence Intervals.
- Support for exogenous Variables and static covariates.
- Anomaly Detection.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 days ago
- Stars
- 4,977
- +11 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.1.1
- Released 3 months ago
- Built with
- Python
- 86% of the code
Is it looked after?
- Contributors
- 22
- Last 90 days
- Issues
- 69% closed
- 133 still open
- Pull requests
- 606 merged
- 69 waiting
- Releases
- 40
- 2 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 86%
- C++ 8%
- Jupyter Notebook 6%
- Makefile <1%
Topics
- time-series
- statistics
- forecasting
- arima
- econometrics
- machine-learning
- python
- exponential-smoothing
- ets
- baselines
- predictions
- naive
Project record
- JobOther AI tools
- StatusListed
- Commits1,511
- Forks435
- Watching40
- Stars in 28 days+47
- CreatedNov 24, 2021
- First seen by usNov 7, 2026
- CheckedNov 12, 2026