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@Nixtla

Nixtla

Open Source Time Series Ecosystem

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  1. statsforecast Public

    Lightning ⚡️ fast forecasting with statistical and econometric models.

    Python 4.2k 303

  2. neuralforecast Public

    Scalable and user friendly neural 🧠 forecasting algorithms.

    Python 3.4k 391

  3. hierarchicalforecast Public

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

    Python 641 85

  4. mlforecast Public

    Scalable machine 🤖 learning for time series forecasting.

    Python 1k 96

  5. 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 2.7k 216

  6. nixtlar Public

    R SDK for TimeGPT

    R 33 7

Repositories

Showing 10 of 37 repositories
  • neuralforecast Public

    Scalable and user friendly neural 🧠 forecasting algorithms.

    Python 3,418 Apache-2.0 391 102 (3 issues need help) 11 Updated Apr 2, 2025
  • coreforecast Public

    Fast implementations of common forecasting routines

    Python 36 Apache-2.0 5 1 0 Updated Apr 1, 2025
  • utilsforecast Public

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

    Python 63 Apache-2.0 12 2 0 Updated Apr 1, 2025
  • statsforecast Public

    Lightning ⚡️ fast forecasting with statistical and econometric models.

    Python 4,220 Apache-2.0 303 101 10 Updated Apr 1, 2025
  • hierarchicalforecast Public

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

    Python 641 Apache-2.0 85 21 2 Updated Mar 31, 2025
  • datasetsforecast Public

    Datasets for time series forecasting

    Jupyter Notebook 90 MIT 8 2 2 Updated Mar 31, 2025
  • mlforecast Public

    Scalable machine 🤖 learning for time series forecasting.

    Python 1,001 Apache-2.0 96 18 2 Updated Mar 31, 2025
  • 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 🚀.

    Jupyter Notebook 2,659 216 38 4 Updated Mar 31, 2025
  • docs Public
    JavaScript 4 2 0 0 Updated Mar 28, 2025
  • nixtlar Public

    R SDK for TimeGPT

    R 33 Apache-2.0 7 19 0 Updated Feb 17, 2025