73 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native en... | 470K | |
| Sktime-compatible change and anomaly detection | 13K | |
| Lightwood is Legos for Machine Learning. | 13K | |
| EvalML is an AutoML library written in python. | 11K | |
| A multiverse of prophet models, for forecasting and Marketing Mix Modeling. | 3K | |
| A Library of Imputation Techniques for Time Series Data | 3K | |
| todo | 2K | |
| Automated modeling and machine learning framework FEDOT | 2K | |
| Dynamic Factor Model (DFM) estimation and forecasting in Python | 2K | |
| A modular SDK for training ML models (image, tabular, timeseries, etc.) | 2K | |
| A comprehensive package for solid state nanopore data analysis and visualization... | 2K | |
| Hybrid time series forecasting library combining Prophet with gradient boosting ... | 2K | |
| Automated Tool for Optimized Modelling | 1K | |
| A simple-to-use Python package for time series anomaly detection! | 1K | |
| A case-based reasoning python library that aims to help researchers find similar... | 1K | |
| Time series processing | 990 | |
| Online processing of Satellite Image Time Series | 904 | |
| Forecasting utilities, time-series preprocessing, rolling back-test and ensemble... | 887 | |
| A Python package for fast exploration of machine learning pipelines | 743 | |
| Options Forecasting and Trading Framework for Quantitative Research | 670 | |
| Timeseries Learning Library for PyTorch. | 621 | |
| Data/Pattern Mining Algorithms for Financial Data | 616 | |
| PyTorch and Lightning compatible library that provides easy and flexible access ... | 573 | |
| Time series analysis framework | 541 | |
| Benchmark time series data sets for PyTorch | 526 | |
| A modern framework for time series analysis and forecasting, offering everything... | 427 | |
| A library for processing timeseries features over a dataframe. | 408 | |
| Comparative analysis of pairwise interactions in multivariate time series. | 399 | |
| 366 | ||
| 336 | ||
| Minimalist time-series forecasting toolkit for coding agents | 333 | |
| A small package for loading and handling UEA UCR time series classification data... | 293 | |
| Automated feature construction for multiple time series data | 284 | |
| Macro Framework Forecasting | 258 | |
| Time series-based machine learning framework for stock market forecasting | 255 | |
| Python library for time series forecasting | 249 | |
| This a package to automate forecast work, try several algorithms, choose the bes... | 247 | |
| 208 | ||
| Causal Time Series Modeling of Supraglacial Lake Evolution in Greenland under Di... | 206 | |
| 201 | ||
| mf-excel provides Excel integration functionality for macroframe-forecast Python... | 200 | |
| Package for selecting the relevant and non-redundant channels for multivariate t... | 197 | |
| EvalML is an AutoML library written in python. | 196 | |
| 181 | ||
| Post-hoc prototype-based explanations with rules for time-series classifiers | 180 | |
| A lightweight, fast, advanced deep learning time series package for long and sho... | 174 | |
| Blocktorch is a library that builds, optimizes, and evaluates machine learning p... | 156 | |
| A Machine Learning project on Denmark's Energy Consumption. | 145 | |
| MCP (Model Context Protocol) layer for sktime - Registry-Driven for LLMs | 140 | |
| Methodology for anomaly detection on multivariate streams using path signatures ... | 135 |