facebookresearch / Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
☆5,886Updated this week
Alternatives and similar repositories for Kats:
Users that are interested in Kats are comparing it to the libraries listed below
- Merlion: A Machine Learning Framework for Time Series Intelligence☆4,234Updated 9 months ago
- A python library for user-friendly forecasting and anomaly detection on time series.☆8,464Updated last week
- A flexible, intuitive and fast forecasting library☆1,833Updated last month
- NeuralProphet: A simple forecasting package☆4,038Updated 2 months ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆1,959Updated 3 weeks ago
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,217Updated this week
- Probabilistic time series modeling in Python☆4,827Updated 4 months ago
- Automated Time Series Forecasting☆1,249Updated 3 weeks ago
- A unified framework for machine learning with time series☆8,287Updated this week
- Time series forecasting with PyTorch☆4,217Updated last week
- STUMPY is a powerful and scalable Python library for modern time series analysis☆3,876Updated 2 weeks ago
- Automatic extraction of relevant features from time series:☆8,682Updated last month
- 🌊 Online machine learning in Python☆5,264Updated 3 weeks ago
- TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transf…☆2,657Updated this week
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,131Updated last week
- An open-source, low-code machine learning library in Python☆9,253Updated 2 weeks ago
- This curated list contains python packages for time series analysis☆2,163Updated 2 years ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆2,861Updated last week
- Scalable and user friendly neural forecasting algorithms.☆3,410Updated this week
- Feature engineering package with sklearn like functionality☆2,021Updated last week
- Scalable machine 🤖 learning for time series forecasting.☆1,000Updated this week
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆5,533Updated last month
- A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…☆1,633Updated 4 months ago
- The machine learning toolkit for time series analysis in Python☆2,957Updated 9 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,293Updated 9 months ago
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆773Updated last year
- ruptures: change point detection in Python☆1,739Updated last month
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,090Updated 2 weeks ago
- Uplift modeling and causal inference with machine learning algorithms☆5,323Updated last week
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆19,022Updated 5 months ago