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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 4.5k 322

  2. neuralforecast Public

    Scalable and user friendly neural 🧠 forecasting algorithms.

    Python 3.7k 438

  3. hierarchicalforecast Public

    Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

    Python 685 88

  4. mlforecast Public

    Scalable machine 🤖 learning for time series forecasting.

    Python 1.1k 101

  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 2.9k 237

  6. nixtlar Public

    R SDK for TimeGPT

    R 37 8

Repositories

Showing 10 of 38 repositories
  • datasetsforecast Public

    Datasets for time series forecasting

    Jupyter Notebook 102 MIT 9 2 3 Updated Jul 27, 2025
  • mlforecast Public

    Scalable machine 🤖 learning for time series forecasting.

    Python 1,051 Apache-2.0 101 26 6 Updated Jul 26, 2025
  • hierarchicalforecast Public

    Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

    Python 685 Apache-2.0 88 9 2 Updated Jul 26, 2025
  • neuralforecast Public

    Scalable and user friendly neural 🧠 forecasting algorithms.

    Python 3,656 Apache-2.0 438 103 (3 issues need help) 8 Updated Jul 25, 2025
  • statsforecast Public

    Lightning ⚡️ fast forecasting with statistical and econometric models.

    Python 4,456 Apache-2.0 322 115 13 Updated Jul 25, 2025
  • Jupyter Notebook 1 2 0 2 Updated Jul 24, 2025
  • docs Public
    JavaScript 5 4 2 0 Updated Jul 23, 2025
  • utilsforecast Public

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

    Python 77 Apache-2.0 16 1 1 Updated Jul 22, 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 2,855 237 43 12 Updated Jul 21, 2025
  • coreforecast Public

    Fast implementations of common forecasting routines

    Python 40 Apache-2.0 6 1 1 Updated Jul 14, 2025