tsfresh
tsflex
tsfresh | tsflex | |
---|---|---|
4 | 3 | |
8,096 | 363 | |
0.5% | 1.9% | |
5.4 | 6.3 | |
15 days ago | 13 days ago | |
Jupyter Notebook | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tsfresh
-
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 ).
-
[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
-
[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
tsflex
-
[P] tsflex: flexible and efficient feature extraction for time series
tsflex its core functionality is strided-window feature extraction. This toolkit focusses on being flexible (e.g., few assumptions about sequence data, integration with other packages) and efficient (in both time & memory consumption -> see benchmark).
-
Request - a good book for anomaly detection on time series
If you plan to transform your time series data in feature vectors, I would suggest to use tsflex (a rather new package) instead of TSfresh. tsflex is imo more convenient to use & multitudes more efficient for window-stride feature extraction.
What are some alternatives?
TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Deep_Learning_Machine_Learning_Stock - Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
sspipe - Simple Smart Pipe: python productivity-tool for rapid data manipulation
SDV - Synthetic data generation for tabular data
temporian - Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
Time-Series-Transformer - A data preprocessing package for time series data. Design for machine learning and deep learning.
MultiModalStory-demo - FairyTailor: Multimodal Generative Framework for Storytelling
darts - A python library for user-friendly forecasting and anomaly detection on time series.
prosto - Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby
tsfel - An intuitive library to extract features from time series.
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis