aimclub/Fedot.Industrial
Python framework for automated time series classification, regression and forecasting
This tool helps operations managers and data scientists analyze complex industrial sensor data and other time series. It takes raw time series data — for example, sensor readings from machinery or production line metrics — and automatically identifies patterns to classify events, predict future values, or detect anomalies. The output helps users make informed decisions for preventative maintenance, quality control, or process optimization.
Use this if you need to automatically build and optimize machine learning models for time series data in industrial settings without extensive manual tuning.
Not ideal if your problem does not involve time series data or if you require full manual control over every aspect of model construction and feature engineering.
Stars
88
Forks
14
Language
Python
License
BSD-3-Clause
Category
Last pushed
Feb 22, 2026
Commits (30d)
0
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