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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 4.4k 315

  2. neuralforecast neuralforecast Public

    Scalable and user friendly neural 🧠 forecasting algorithms.

    Python 3.5k 409

  3. hierarchicalforecast hierarchicalforecast Public

    Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

    Python 656 85

  4. mlforecast mlforecast Public

    Scalable machine 🤖 learning for time series forecasting.

    Python 1k 97

  5. 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 2.7k 224

  6. nixtlar nixtlar Public

    R SDK for TimeGPT

    R 35 7

Repositories

Showing 10 of 37 repositories
  • neuralforecast Public

    Scalable and user friendly neural 🧠 forecasting algorithms.

    Nixtla/neuralforecast’s past year of commit activity
    Python 3,508 Apache-2.0 409 104 (3 issues need help) 8 Updated May 16, 2025
  • docs Public
    Nixtla/docs’s past year of commit activity
    JavaScript 5 3 0 1 Updated May 15, 2025
  • hierarchicalforecast Public

    Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

    Nixtla/hierarchicalforecast’s past year of commit activity
    Python 656 Apache-2.0 85 16 0 Updated May 7, 2025
  • statsforecast Public

    Lightning ⚡️ fast forecasting with statistical and econometric models.

    Nixtla/statsforecast’s past year of commit activity
    Python 4,358 Apache-2.0 315 110 11 Updated May 5, 2025
  • coreforecast Public

    Fast implementations of common forecasting routines

    Nixtla/coreforecast’s past year of commit activity
    Python 38 Apache-2.0 6 1 0 Updated May 5, 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 🚀.

    Nixtla/nixtla’s past year of commit activity
    Jupyter Notebook 2,736 224 40 9 Updated May 1, 2025
  • utilsforecast Public

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

    Nixtla/utilsforecast’s past year of commit activity
    Python 70 Apache-2.0 14 2 1 Updated Apr 29, 2025
  • datasetsforecast Public

    Datasets for time series forecasting

    Nixtla/datasetsforecast’s past year of commit activity
    Jupyter Notebook 92 MIT 8 3 2 Updated Mar 31, 2025
  • mlforecast Public

    Scalable machine 🤖 learning for time series forecasting.

    Nixtla/mlforecast’s past year of commit activity
    Python 1,018 Apache-2.0 97 22 2 Updated Mar 31, 2025
  • nixtlar Public

    R SDK for TimeGPT

    Nixtla/nixtlar’s past year of commit activity
    R 35 Apache-2.0 7 19 0 Updated Feb 17, 2025

Sponsoring

  • @tiangolo

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