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@Nixtla

Nixtla

Open Source Time Series Ecosystem

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  1. statsforecast statsforecast Public

    Lightning ⚑️ fast forecasting with statistical and econometric models.

    Python 5k 434

  2. nixtla nixtla Public

    TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It'…

    Jupyter Notebook 4k 344

  3. neuralforecast neuralforecast Public

    Scalable and user friendly neural 🧠 forecasting algorithms.

    Python 4.3k 531

  4. mlforecast mlforecast Public

    Scalable machine πŸ€– learning for time series forecasting.

    Python 1.3k 149

  5. hierarchicalforecast hierarchicalforecast Public

    Probabilistic Hierarchical forecasting πŸ‘‘ with statistical and econometric methods.

    Python 766 100

  6. nixtlar nixtlar Public

    R SDK for TimeGPT

    R 41 8

Repositories

Showing 10 of 42 repositories
  • statsforecast Public

    Lightning ⚑️ fast forecasting with statistical and econometric models.

    Nixtla/statsforecast's past year of commit activity
    Python 4,973 Apache-2.0 434 133 69 Updated Nov 9, 2026
  • docs Public
    Nixtla/docs's past year of commit activity
    JavaScript 4 7 6 14 Updated Nov 9, 2026
  • coreforecast Public

    Fast implementations of common forecasting routines

    Nixtla/coreforecast's past year of commit activity
    Python 44 Apache-2.0 12 1 3 Updated Nov 9, 2026
  • neuralforecast Public

    Scalable and user friendly neural 🧠 forecasting algorithms.

    Nixtla/neuralforecast's past year of commit activity
    Python 4,313 Apache-2.0 531 70 32 Updated Nov 9, 2026
  • synforecast Public

    Fast synthetic time series for forecasting, testing, augmentation, and pretraining

    Nixtla/synforecast's past year of commit activity
    Jupyter Notebook 19 Apache-2.0 0 0 9 Updated Nov 9, 2026
  • nixtla Public

    TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code πŸš€.

    Nixtla/nixtla's past year of commit activity
    Jupyter Notebook 4,045 344 45 20 Updated Nov 9, 2026
  • utilsforecast Public

    Helper functions to plot, evaluate, preprocess and engineer features for forecasting

    Nixtla/utilsforecast's past year of commit activity
    Python 109 Apache-2.0 39 7 9 Updated Nov 6, 2026
  • mlforecast Public

    Scalable machine πŸ€– learning for time series forecasting.

    Nixtla/mlforecast's past year of commit activity
    Python 1,305 Apache-2.0 149 20 17 Updated Nov 6, 2026
  • hierarchicalforecast Public

    Probabilistic Hierarchical forecasting πŸ‘‘ with statistical and econometric methods.

    Nixtla/hierarchicalforecast's past year of commit activity
    Python 766 Apache-2.0 100 3 5 Updated Nov 5, 2026
  • conformalforecast Public

    Conformal prediction for time series forecasting

    Nixtla/conformalforecast's past year of commit activity
    Jupyter Notebook 8 Apache-2.0 0 0 0 Updated Nov 3, 2026