linkedin / greykiteLinks
A flexible, intuitive and fast forecasting library
☆1,849Updated 5 months ago
Alternatives and similar repositories for greykite
Users that are interested in greykite are comparing it to the libraries listed below
Sorting:
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆1,986Updated 2 months ago
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆783Updated last year
- Merlion: A Machine Learning Framework for Time Series Intelligence☆4,345Updated last year
- Automated Time Series Forecasting☆1,309Updated 3 weeks 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 11 months ago
- EvalML is an AutoML library written in python.☆821Updated this week
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…☆6,083Updated last week
- NeuralProphet: A simple forecasting package☆4,138Updated 6 months ago
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,465Updated last week
- Predictive Power Score (PPS) in Python☆1,153Updated 6 months ago
- A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…☆1,662Updated 8 months ago
- Algorithms for outlier, adversarial and drift detection☆2,409Updated 2 months ago
- Feature engineering package with sklearn like functionality☆2,101Updated last month
- A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels f…☆508Updated 4 months ago
- STUMPY is a powerful and scalable Python library for modern time series analysis☆3,964Updated 3 weeks ago
- Scalable machine 🤖 learning for time series forecasting.☆1,049Updated last week
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆2,932Updated last week
- DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow☆598Updated last year
- Extra blocks for scikit-learn pipelines.☆1,350Updated last month
- Human-explainable AI.☆526Updated last week
- AtsPy: Automated Time Series Models in Python (by @firmai)☆518Updated 2 years ago
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,183Updated 3 weeks ago
- A Python toolkit for rule-based/unsupervised anomaly detection in time series☆1,171Updated last year
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆661Updated 5 months ago
- Predict time-series with one line of code.☆426Updated 9 months ago
- Fast SHAP value computation for interpreting tree-based models☆541Updated 2 years ago
- Probabilistic time series modeling in Python☆4,967Updated last month
- The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…☆613Updated 3 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,486Updated last month
- A python library for time-series smoothing and outlier detection in a vectorized way.☆762Updated last year