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fraunhoferportugal avatar

fraunhoferportugal/tsfel

0
View on GitHub↗
1,095 stars·157 forks·Python·BSD-3-Clause·10 viewstsfel.readthedocs.io↗

Tsfel

An intuitive library to extract features from time series.

Features

  • Time Series Analysis - Intuitive library for extracting features from time series.
  • Time Series Analysis - Feature extraction library for time series analysis.

Star history

Star history chart for fraunhoferportugal/tsfelStar history chart for fraunhoferportugal/tsfel

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Tsfel

These projects share indexed features with Tsfel. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • alkaline-ml/pmdarimaalkaline-ml avatar

    alkaline-ml/pmdarima

    1,726View on GitHub↗

    A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

    Pythonarimaeconometricsforecasting
    View on GitHub↗1,726
  • angus924/rocketA

    angus924/rocket

    0View on GitHub↗
    View on GitHub↗0
  • alan-turing-institute/sktimealan-turing-institute avatar

    alan-turing-institute/sktime

    9,810View on GitHub↗

    sktime is a machine learning framework designed for time series analysis. It provides a unified interface for performing time series forecasting, classification, and anomaly detection, integrating these capabilities into a standardized toolkit compatible with the scikit-learn API. The framework allows for the construction of complex analysis workflows through model pipelining and ensemble-based aggregation. It uses adapter-based integration to wrap external time series libraries, providing a single entry point for diverse algorithmic implementations. Its capabilities cover temporal data tran

    Python
    View on GitHub↗9,810
  • awslabs/gluontsawslabs avatar

    awslabs/gluonts

    5,199View on GitHub↗

    GluonTS is a probabilistic time series library and deep learning forecasting framework. It provides a toolkit for building, training, and evaluating neural network architectures that predict future values as probability distributions to quantify uncertainty. The project distinguishes itself by supporting zero-shot forecasting and integrating diverse modeling approaches, including deep probabilistic neural networks and wrappers for external statistical libraries such as Prophet and R forecast. It implements specialized architectural primitives like causal convolutions and invertible residual n

    Pythonartificial-intelligenceawsdata-science
    View on GitHub↗5,199
Compare all 30 related projects→

Frequently asked questions

What does fraunhoferportugal/tsfel do?

An intuitive library to extract features from time series.

What are the main features of fraunhoferportugal/tsfel?

The main features of fraunhoferportugal/tsfel are: Time Series Analysis.

Which projects share features with fraunhoferportugal/tsfel?

Projects with overlapping indexed features include: awslabs/gluonts — GluonTS is a probabilistic time series library and deep learning forecasting framework. It provides a toolkit for… blue-yonder/tsfresh — tsfresh is an automated feature engineering tool and library designed to extract statistical characteristics from raw… alan-turing-institute/sktime — sktime is a machine learning framework designed for time series analysis. It provides a unified interface for… angus924/rocket. alkaline-ml/pmdarima — A statistical library designed to fill the void in Python's time series analysis capabilities, including the… facebook/prophet — Prophet is a time series forecasting library and decomposition tool that uses an additive regression model to predict…