predict-idlab/tsflex
A Python library for flexible and efficient time series feature extraction and processing.
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tsflex provides a toolkit for time series processing and feature extraction that is efficient and makes few assumptions about sequence data. It focuses on windowing and stride-based operations for extracting features from multivariate and multimodal time series data, commonly used as a preprocessing step in machine learning pipelines for time-series classification, regression, or anomaly detection tasks.
Frequently asked
- What is predict-idlab/tsflex?
- A Python library for flexible and efficient time series feature extraction and processing.
- Is tsflex open source?
- Yes — predict-idlab/tsflex is open source, released under the MIT license.
- What language is tsflex written in?
- predict-idlab/tsflex is primarily written in Python.
- How popular is tsflex?
- predict-idlab/tsflex has 444 stars on GitHub.
- Where can I find tsflex?
- predict-idlab/tsflex is on GitHub at https://github.com/predict-idlab/tsflex.