tsfel
tsfresh
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| tsfel | tsfresh | |
|---|---|---|
| 1 | 4 | |
| 855 | 8,076 | |
| 6.2% | 0.8% | |
| 7.9 | 5.9 | |
| 25 days ago | 6 days ago | |
| Python | Jupyter Notebook | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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tsfel
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Ask HN: Data Scientists, what libraries do you use for timeseries forecasting?
For feature extraction check out tsfel:
https://github.com/fraunhoferportugal/tsfel
tsfresh
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For deep learning practitioners in industry, is the workflow always this annoying? [D]
This is definitely a good thing to try for time-series; you can automate your feature extraction too (eg using https://github.com/blue-yonder/tsfresh ).
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[D] Incorporating external data in LSTM models for sales forecasting in e-commerce
don't forget your feature engineering -> https://github.com/blue-yonder/tsfresh
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[R] Approach to identify clusters on a time series
Rather than the exact clustering algorithm, I think the main issue here is the feature extraction for the clustering. https://github.com/blue-yonder/tsfresh might be useful for that.
- Automatic time series feature extraction based on scalable hypothesis tests
What are some alternatives?
darts - A python library for user-friendly forecasting and anomaly detection on time series.
tsflex - Flexible time series feature extraction & processing
upgini - Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python
forecast - Forecasting Functions for Time Series and Linear Models
Deep_Learning_Machine_Learning_Stock - Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
SDV - Synthetic data generation for tabular data
Time-Series-Transformer - A data preprocessing package for time series data. Design for machine learning and deep learning.
Anomaly_Detection_Tuto - Anomaly detection tutorial on univariate time series with an auto-encoder
Deep-Learning-Machine-Learning-Stock - Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders. [Moved to: https://github.com/LastAncientOne/Deep_Learning_Machine_Learning_Stock]
stingray - Anything can happen in the next half hour (including spectral timing made easy)!