facebookresearch / KatsLinks
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.
☆6,167Updated last week
Alternatives and similar repositories for Kats
Users that are interested in Kats are comparing it to the libraries listed below
Sorting:
- A python library for user-friendly forecasting and anomaly detection on time series.☆8,858Updated this week
- NeuralProphet: A simple forecasting package☆4,165Updated 7 months ago
- A unified framework for machine learning with time series☆9,221Updated this week
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,488Updated last week
- Merlion: A Machine Learning Framework for Time Series Intelligence☆4,348Updated last year
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆1,988Updated 2 months ago
- STUMPY is a powerful and scalable Python library for modern time series analysis☆3,977Updated last month
- A flexible, intuitive and fast forecasting library☆1,850Updated 6 months ago
- Probabilistic time series modeling in Python☆4,991Updated 2 weeks ago
- Automated Time Series Forecasting☆1,316Updated last month
- The machine learning toolkit for time series analysis in Python☆3,026Updated this week
- Time series forecasting with PyTorch☆4,453Updated this week
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆19,562Updated last month
- Automatic extraction of relevant features from time series:☆8,927Updated 3 weeks ago
- Algorithms for outlier, adversarial and drift detection☆2,418Updated 2 months ago
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆788Updated 2 weeks ago
- Scalable machine 🤖 learning for time series forecasting.☆1,056Updated last week
- This curated list contains python packages for time series analysis☆2,204Updated 2 years ago
- A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…☆1,668Updated 9 months ago
- Feature engineering package with sklearn like functionality☆2,117Updated 3 weeks ago
- ruptures: change point detection in Python☆1,879Updated this week
- A Python toolkit for rule-based/unsupervised anomaly detection in time series☆1,174Updated last year
- 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 machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,131Updated last year
- Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Gra…☆1,834Updated last year
- A Python package for time series classification☆1,848Updated 2 months ago
- Visualize and compare datasets, target values and associations, with one line of code.☆3,039Updated last year
- Automatically visualize your pandas dataframe via a single print! 📊 💡☆5,301Updated last year
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,431Updated last month
- An open-source, low-code machine learning library in Python☆9,489Updated 4 months ago