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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 4.9k 408

  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 339

  3. neuralforecast neuralforecast Public

    Scalable and user friendly neural 🧠 forecasting algorithms.

    Python 4.3k 512

  4. mlforecast mlforecast Public

    Scalable machine 🤖 learning for time series forecasting.

    Python 1.3k 140

  5. hierarchicalforecast hierarchicalforecast Public

    Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

    Python 760 99

  6. nixtlar nixtlar Public

    R SDK for TimeGPT

    R 41 8

Repositories

Showing 10 of 41 repositories
  • docs Public
    Nixtla/docs's past year of commit activity
    JavaScript 4 7 6 12 Updated Oct 11, 2026
  • mlforecast Public

    Scalable machine 🤖 learning for time series forecasting.

    Nixtla/mlforecast's past year of commit activity
    Python 1,282 Apache-2.0 140 15 16 Updated Oct 11, 2026
  • statsforecast Public

    Lightning ⚡️ fast forecasting with statistical and econometric models.

    Nixtla/statsforecast's past year of commit activity
    Python 4,926 Apache-2.0 408 118 44 Updated Oct 10, 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 31 4 10 Updated Oct 9, 2026
  • synforecast Public

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

    Nixtla/synforecast's past year of commit activity
    Jupyter Notebook 1 Apache-2.0 0 0 2 Updated Oct 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 🚀.

    Nixtla/nixtla's past year of commit activity
    Jupyter Notebook 4,020 339 46 18 Updated Oct 8, 2026
  • coreforecast Public

    Fast implementations of common forecasting routines

    Nixtla/coreforecast's past year of commit activity
    Python 43 Apache-2.0 12 1 3 Updated Oct 8, 2026
  • neuralforecast Public

    Scalable and user friendly neural 🧠 forecasting algorithms.

    Nixtla/neuralforecast's past year of commit activity
    Python 4,282 Apache-2.0 512 4 8 Updated Oct 7, 2026
  • datasetsforecast Public

    Datasets for time series forecasting

    Nixtla/datasetsforecast's past year of commit activity
    Python 128 MIT 12 4 0 Updated Oct 7, 2026
  • hierarchicalforecast Public

    Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

    Nixtla/hierarchicalforecast's past year of commit activity
    Python 760 Apache-2.0 99 2 4 Updated Oct 6, 2026
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