Auto_TS VS AutoViz

What are some alternatives?

Deep_XF - Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Auto_ViML - Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

autokeras - AutoML library for deep learning

modeltime - Modeltime unlocks time series forecast models and machine learning in one framework

ChatLog - ⏳ ChatLog: Recording and Analysing ChatGPT Across Time

hyper-api-samples - Sample code to get started with the Hyper API.

statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

logbrain - Parsing log files can be a tedious task, especially when dealing with complex log formats. The Log Parser aims to streamline this process by leveraging regular expressions to match and capture relevant fields from log entries. With the extracted data, users can perform further analysis, generate reports, or gain insights from their log files.

sapientml - Generative AutoML for Tabular Data