Nixtla / statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
☆4,088Updated this week
Alternatives and similar repositories for statsforecast:
Users that are interested in statsforecast are comparing it to the libraries listed below
- Scalable machine 🤖 learning for time series forecasting.☆932Updated this week
- Scalable and user friendly neural forecasting algorithms.☆3,246Updated this week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆1,928Updated 3 weeks ago
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…☆5,553Updated 3 weeks ago
- NeuralProphet: A simple forecasting package☆3,941Updated last week
- TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transf…☆2,459Updated this week
- Automated Time Series Forecasting☆1,170Updated this week
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆607Updated 3 weeks ago
- Time series forecasting with PyTorch☆4,081Updated this week
- Merlion: A Machine Learning Framework for Time Series Intelligence☆3,496Updated 6 months ago
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,065Updated 6 months ago
- A python library for user-friendly forecasting and anomaly detection on time series.☆8,249Updated last week
- A flexible, intuitive and fast forecasting library☆1,822Updated 7 months ago
- STUMPY is a powerful and scalable Python library for modern time series analysis☆3,741Updated this week
- Time series forecasting with machine learning models☆1,216Updated this week
- Probabilistic time series modeling in Python☆4,729Updated 2 months ago
- Feature engineering package with sklearn like functionality☆1,972Updated 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…☆1,610Updated 2 months ago
- A unified framework for machine learning with time series☆8,100Updated this week
- A toolkit for machine learning from time series☆1,071Updated this week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,416Updated last week
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆745Updated 4 months ago
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆768Updated 11 months ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆2,763Updated last week
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,019Updated last month
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆5,396Updated 3 weeks ago
- Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Gra…☆1,763Updated 7 months ago
- Visualize large time series data with plotly.py☆1,065Updated last month
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).☆2,103Updated this week
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,348Updated 2 weeks ago