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tsfresh

Appears in 7 awesome lists

Python library for automatic extraction of relevant features from time series.

Open github.comblue-yonder/tsfresh

Found in these lists

Awesome Data Analysis

Section: Tools · Automatically extracting features from time series data.

FreshScore 80

Awesome MLOps

Section: Feature Engineering · Python library for automatic extraction of relevant features from time series.

FreshScore 80

Awesome Production Machine Learning

Section: AutoML · Automatic extraction of relevant features from time series.

FreshScore 92

Awesome Python Data Science

Section: General · Automatic extraction of relevant features from time series.

ActiveScore 71

Awesome Quant

Section: Time Series Analysis · Python - Automatic extraction of relevant features from time series.

FreshScore 91

Libraries and packages

Section: TimeSeries Analysis · Automatic extraction of relevant features from time series.

FreshScore 86

Awesome Systematic Trading

Section: TimeSeries Analysis · Automatic extraction of relevant features from time series.

FreshScore 89

Optuna

Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.

In 8 listsDetails

Feature Engine

Python library with multiple transformers to engineer and select features for machine learning models. scikit-learn compatible with fit() and transform() methods for encoding, imputation, variable transformation, and feature selection. BSD-3-Clause licensed.

In 7 listsDetails

PlotJuggler

Visualize time series (from sources such as: MQTT, Websockets, ZeroMQ, UDP, etc., supports data formats such as JSON, CBOR, BSON, Message Pack, etc.). It is a fast, powerful and intuitive cross-platform tool.

In 8 listsDetails

TPOT

Tool that automatically creates and optimizes machine learning pipelines using genetic programming. Consider it your personal data science assistant, automating a tedious part of machine learning.

In 6 listsDetails

Featuretools

Open-source Python library for automated feature engineering. Transforms transactional and relational datasets into feature matrices for machine learning using Deep Feature Synthesis with reusable primitives. BSD-3-Clause licensed.

In 6 listsDetails

Facebook Prophet

Python - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

In 6 listsDetails

TimesFM (Google Research)

Pretrained time series foundation model for long-horizon forecasting across diverse scientific domains including climate variables, biomedical signals, and physical observations; decoder-only Transformer architecture with strong zero-shot generalization (19.8K+ stars, Apache 2.0, 2024-2025)

In 5 listsDetails

Katib

Kubernetes-native AutoML for hyperparameter tuning, early stopping, and neural architecture search. Framework-agnostic with support for TensorFlow, PyTorch, XGBoost, and custom training operators. Apache 2.0 licensed.

In 5 listsDetails