Home Projects tsflex
tsflex
Python

tsflex

Flexible time series feature extraction & processing

by predict-idlab · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
data-sciencefeature-engineeringfeature-extractionMITPython
View on GitHub
In plain words

Extract and process features from time series data efficiently for analysis.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
tsflex — GitHub preview card
📈 Star history
444443
2026-07-202026-08-31
📈 Track tsflex

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Flexible time series feature extraction & processing

tsflex has 443 stars on GitHub. It has been forked 28 times. tsflex is written mainly in Python. It has been in active development since 2021. tsflex is available under the MIT license. Its main topics are data-science, feature-engineering, feature-extraction, multimodal.

Frequently asked questions

What is tsflex?

Flexible time series feature extraction & processing

Is tsflex open source?

tsflex is an open-source project. It is released under the MIT license.

Is tsflex free?

Yes. tsflex is free and open source — you can use, modify and self-host it.

What license does tsflex use?

tsflex is available under the MIT license.

What language is tsflex written in?

tsflex is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — tsflex

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=predict-idlab-tsflex)](https://olud.ai/project/predict-idlab-tsflex.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →
feature_engine
Feature engineering and selection open-source Python library compatible with sklearn.
2.3k · data-science
sharesfeature-engineeringfeature-extraction
feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Pyt…
1.7k · data-mining
sharesfeature-engineeringfeature-extraction
Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term…
1.8k · algorithms
sharesfeature-engineeringdata-science
OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature platform computing…
1.7k · database-for-ai
sharesfeature-engineeringfeature-extraction
Book6_First-Course-in-Data-Science
Book_6_《数据有道》 | 鸢尾花书:从加减乘除到机器学习;欢迎大家批评指正!纠错多的同学会得到赠书感谢!
2.7k · data
sharesfeature-engineeringdata-science
pixeltable
Unified multimodal backend for AI data apps
1.6k · ai
sharesfeature-engineeringmultimodal
fe4ml-zh
:book: [译] 面向机器学习的特征工程
2.6k · book
sharesfeature-engineering
popsift
PopSift is an implementation of the SIFT algorithm in CUDA.
498 · computer-vision
sharesfeature-extraction
Ego4d
Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of…
620 · computer-vision
sharesfeature-extraction
speechpy
:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.re…
883 · feature-extraction
sharesfeature-extraction

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.