A flexible, intuitive and fast forecasting library
☆1,855Feb 20, 2025Updated last year
Alternatives and similar repositories for greykite
Users that are interested in greykite are comparing it to the libraries listed below
Sorting:
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…☆6,289Updated this week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,041Mar 3, 2026Updated 2 weeks ago
- Merlion: A Machine Learning Framework for Time Series Intelligence☆4,472Mar 11, 2026Updated last week
- NeuralProphet: A simple forecasting package☆4,256Jan 8, 2025Updated last year
- A python library for user-friendly forecasting and anomaly detection on time series.☆9,253Mar 7, 2026Updated 2 weeks ago
- A unified framework for machine learning with time series☆9,650Updated this week
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,721Updated this week
- STUMPY is a powerful and scalable Python library for modern time series analysis☆4,071Feb 22, 2026Updated last month
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆800Aug 17, 2025Updated 7 months ago
- Automated Time Series Forecasting☆1,382Updated 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…☆1,717Nov 17, 2025Updated 4 months ago
- Automatic extraction of relevant features from time series:☆9,151Nov 15, 2025Updated 4 months ago
- Probabilistic time series modeling in Python☆5,146Updated this week
- The machine learning toolkit for time series analysis in Python☆3,126Updated 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…☆766Aug 20, 2024Updated last year
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,531Jul 17, 2025Updated 8 months ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,214Mar 9, 2026Updated 2 weeks ago
- 🌊 Online machine learning in Python☆5,752Mar 9, 2026Updated last week
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆20,083Mar 2, 2026Updated 2 weeks ago
- Predict time-series with one line of code.☆437Oct 21, 2024Updated last year
- A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…☆2,142Mar 12, 2026Updated last week
- Hierarchical Time Series Forecasting with a familiar API☆226May 12, 2023Updated 2 years ago
- An open-source, low-code machine learning library in Python☆9,716Apr 21, 2025Updated 11 months ago
- Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…☆8,492Mar 1, 2026Updated 3 weeks ago
- Algorithms for outlier, adversarial and drift detection☆2,502Dec 11, 2025Updated 3 months ago
- A light-weight, flexible, and expressive statistical data testing library☆4,259Updated this week
- Time series forecasting with PyTorch☆4,832Mar 15, 2026Updated last week
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆3,994Dec 28, 2025Updated 2 months ago
- Modin: Scale your Pandas workflows by changing a single line of code☆10,363Feb 10, 2026Updated last month
- An open source python library for automated feature engineering☆7,623Feb 3, 2026Updated last month
- ETNA – Time-Series Library☆882Aug 9, 2023Updated 2 years ago
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆7,308Mar 10, 2026Updated last week
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,395Feb 19, 2025Updated last year
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,154Feb 6, 2026Updated last month
- Scalable and user friendly neural forecasting algorithms.☆4,006Mar 16, 2026Updated last week
- Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and…☆10,798Updated this week
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,305Updated this week
- Fast SHAP value computation for interpreting tree-based models☆553Jun 26, 2023Updated 2 years ago
- Automatically visualize your pandas dataframe via a single print! 📊 💡☆5,370Mar 20, 2024Updated 2 years ago