pmdarima
Time series analyzer
A statistical library for time series analysis and forecasting
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
2k stars
36 watching
234 forks
Language: Python
last commit: 10 days ago
Linked from 1 awesome list
arimaeconometricsforecastingforecasting-modelsmachine-learningpmdarimapythonsarimaxtime-series
Related projects:
Repository | Description | Stars |
---|---|---|
numaproj/numalogic | A collection of machine learning models and tools for real-time time series data analytics and anomaly detection | 167 |
dmbee/seglearn | A machine learning tool for time series data analysis and modeling | 571 |
johannfaouzi/pyts | A Python package for time series classification and analysis | 1,772 |
nixtla/mlforecast | A Python library for scalable machine learning-based time series forecasting with efficient feature engineering and out-of-the-box compatibility. | 899 |
rafa-rod/pytrendseries | A Python library for detecting trends in time series data and analyzing their characteristics. | 126 |
functime-org/functime | A Python library for time-series forecasting and feature extraction using parallel processing techniques | 1,044 |
skforecast/skforecast | A Python library for building machine learning models to forecast time series data | 1,156 |
matrix-profile-foundation/matrixprofile | A Python library implementing matrix profile algorithms for time series data mining tasks | 362 |
rjt1990/pyflux | A comprehensive time series modeling library with various statistical models and inference methods. | 2,111 |
x-datainitiative/tick | A Python module for statistical learning with an emphasis on time-dependent modeling, providing tools for machine learning, point-process modeling, and optimization. | 491 |
uber/orbit | A Python package for Bayesian time series forecasting and inference with probabilistic programming languages under the hood. | 1,883 |
artesiawater/hydropandas | A Python package for analyzing and writing hydrological timeseries data | 56 |
cesium-ml/cesium | A Python-based platform for building and deploying machine learning models on time series data | 671 |
microprediction/timemachines | Provides a simple and unified interface to various univariate time-series prediction algorithms | 405 |
iamconsortium/pyam | A Python package for analyzing and visualizing energy and climate scenarios | 235 |