Nixtla / statsforecastLinks
Lightning ⚡️ fast forecasting with statistical and econometric models.
☆4,653Updated this week
Alternatives and similar repositories for statsforecast
Users that are interested in statsforecast are comparing it to the libraries listed below
Sorting:
- Scalable and user friendly neural forecasting algorithms.☆3,921Updated this week
- Scalable machine 🤖 learning for time series forecasting.☆1,141Updated this week
- TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transf…☆3,629Updated this week
- NeuralProphet: A simple forecasting package☆4,225Updated last year
- Merlion: A Machine Learning Framework for Time Series Intelligence☆4,472Updated last year
- A python library for user-friendly forecasting and anomaly detection on time series.☆9,140Updated 3 weeks ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,027Updated 7 months ago
- Automated Time Series Forecasting☆1,335Updated this week
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆725Updated this week
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…☆6,272Updated this week
- Time series forecasting with machine learning models☆1,425Updated this week
- A flexible, intuitive and fast forecasting library☆1,852Updated 10 months ago
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,166Updated 3 months ago
- STUMPY is a powerful and scalable Python library for modern time series analysis☆4,051Updated last week
- Time series forecasting with PyTorch☆4,746Updated this week
- A toolkit for time series machine learning and deep learning☆1,315Updated this week
- Probabilistic time series modeling in Python☆5,109Updated 5 months ago
- A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…☆1,708Updated 2 months ago
- The machine learning toolkit for time series analysis in Python☆3,082Updated this week
- ruptures: change point detection in Python☆1,964Updated last week
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting☆1,529Updated 7 months ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,178Updated last week
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆5,967Updated 5 months ago
- Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applicati…☆708Updated 2 months ago
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆762Updated last year
- A unified framework for machine learning with time series☆9,448Updated this week
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,112Updated last month
- A python library for time-series smoothing and outlier detection in a vectorized way.☆770Updated 2 years ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,503Updated last week
- Chronos: Pretrained Models for Time Series Forecasting☆4,652Updated last week