Nixtla / statsforecastLinks
Lightning ⚡️ fast forecasting with statistical and econometric models.
☆4,499Updated this week
Alternatives and similar repositories for statsforecast
Users that are interested in statsforecast are comparing it to the libraries listed below
Sorting:
- Scalable machine 🤖 learning for time series forecasting.☆1,064Updated 2 weeks ago
- NeuralProphet: A simple forecasting package☆4,169Updated 8 months ago
- Scalable and user friendly neural forecasting algorithms.☆3,723Updated this week
- TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transf…☆2,918Updated this week
- Automated Time Series Forecasting☆1,316Updated 2 months ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆1,993Updated 3 months ago
- Time series forecasting with machine learning models☆1,363Updated this week
- Merlion: A Machine Learning Framework for Time Series Intelligence☆4,358Updated last year
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆694Updated this week
- A python library for user-friendly forecasting and anomaly detection on time series.☆8,874Updated this week
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,133Updated last year
- STUMPY is a powerful and scalable Python library for modern time series analysis☆3,983Updated last week
- A flexible, intuitive and fast forecasting library☆1,850Updated 6 months ago
- Probabilistic time series modeling in Python☆4,995Updated 3 weeks ago
- Time series forecasting with PyTorch☆4,485Updated this week
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…☆6,176Updated 3 weeks ago
- A toolkit for time series machine learning and deep learning☆1,229Updated this week
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆2,947Updated last month
- Feature engineering package with sklearn like functionality☆2,125Updated this week
- A unified framework for machine learning with time series☆9,231Updated this week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,454Updated this week
- A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…☆1,670Updated 9 months ago
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,262Updated 5 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,491Updated 2 weeks ago
- Chronos: Pretrained Models for Probabilistic Time Series Forecasting☆3,603Updated this week
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).☆2,230Updated last week
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting☆1,486Updated 3 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…☆760Updated last year
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆5,784Updated last month
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆788Updated 3 weeks ago