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.
☆5,553Updated 3 weeks ago
Alternatives and similar repositories for Kats:
Users that are interested in Kats are comparing it to the libraries listed below
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,088Updated this week
- Merlion: A Machine Learning Framework for Time Series Intelligence☆3,496Updated 6 months ago
- A flexible, intuitive and fast forecasting library☆1,822Updated 7 months ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆1,928Updated 3 weeks ago
- NeuralProphet: A simple forecasting package☆3,941Updated last week
- STUMPY is a powerful and scalable Python library for modern time series analysis☆3,741Updated this week
- A python library for user-friendly forecasting and anomaly detection on time series.☆8,249Updated last week
- A unified framework for machine learning with time series☆8,100Updated this week
- Automated Time Series Forecasting☆1,170Updated this week
- The machine learning toolkit for time series analysis in Python☆2,932Updated 6 months ago
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,019Updated last month
- Time series forecasting with PyTorch☆4,081Updated this week
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,090Updated this week
- Visualize and compare datasets, target values and associations, with one line of code.☆2,970Updated 5 months ago
- Probabilistic time series modeling in Python☆4,729Updated 2 months ago
- Feature engineering package with sklearn like functionality☆1,972Updated this week
- Automatic extraction of relevant features from time series:☆8,529Updated this week
- TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transf…☆2,459Updated this 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
- An open-source, low-code machine learning library in Python☆9,075Updated this week
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆768Updated 11 months ago
- Automatically visualize your pandas dataframe via a single print! 📊 💡☆5,241Updated 9 months ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,306Updated 3 months ago
- Scalable and user friendly neural forecasting algorithms.☆3,246Updated this week
- A Python toolkit for rule-based/unsupervised anomaly detection in time series☆1,139Updated 5 months ago
- Algorithms for outlier, adversarial and drift detection☆2,284Updated 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…☆1,610Updated 2 months ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆2,763Updated last week
- An open source python library for automated feature engineering☆7,334Updated this week
- Scalable machine 🤖 learning for time series forecasting.☆932Updated this week