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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 4.6k 347

  2. nixtla nixtla Public

    TimeGPT-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 …

    Jupyter Notebook 3.6k 301

  3. neuralforecast neuralforecast Public

    Scalable and user friendly neural 🧠 forecasting algorithms.

    Python 3.9k 474

  4. mlforecast mlforecast Public

    Scalable machine 🤖 learning for time series forecasting.

    Python 1.1k 116

  5. hierarchicalforecast hierarchicalforecast Public

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

    Python 723 93

  6. nixtlar nixtlar Public

    R SDK for TimeGPT

    R 41 8

Repositories

Showing 10 of 39 repositories
  • neuralforecast Public

    Scalable and user friendly neural 🧠 forecasting algorithms.

    Nixtla/neuralforecast’s past year of commit activity
    Python 3,913 Apache-2.0 474 109 (3 issues need help) 12 Updated Jan 6, 2026
  • statsforecast Public

    Lightning ⚡️ fast forecasting with statistical and econometric models.

    Nixtla/statsforecast’s past year of commit activity
    Python 4,647 Apache-2.0 347 117 15 Updated Jan 6, 2026
  • docs Public
    Nixtla/docs’s past year of commit activity
    JavaScript 5 7 6 3 Updated Jan 6, 2026
  • hierarchicalforecast Public

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

    Nixtla/hierarchicalforecast’s past year of commit activity
    Python 723 Apache-2.0 93 11 4 Updated Jan 6, 2026
  • mlforecast Public

    Scalable machine 🤖 learning for time series forecasting.

    Nixtla/mlforecast’s past year of commit activity
    Python 1,139 Apache-2.0 116 30 7 Updated Jan 6, 2026
  • nixtla Public

    TimeGPT-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 3,617 301 48 15 Updated Jan 3, 2026
  • blog Public
    Nixtla/blog’s past year of commit activity
    JavaScript 5 3 0 2 Updated Dec 22, 2025
  • utilsforecast Public

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

    Nixtla/utilsforecast’s past year of commit activity
    Python 96 Apache-2.0 15 1 1 Updated Dec 15, 2025
  • datasetsforecast Public

    Datasets for time series forecasting

    Nixtla/datasetsforecast’s past year of commit activity
    Python 116 MIT 11 4 1 Updated Dec 15, 2025
  • coreforecast Public

    Fast implementations of common forecasting routines

    Nixtla/coreforecast’s past year of commit activity
    Python 42 Apache-2.0 8 2 2 Updated Dec 15, 2025
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