Python time-series-classification

Open-source Python projects categorized as time-series-classification

Top 11 Python time-series-classification Projects

  • sktime

    A unified framework for machine learning with time series

  • tslearn

    The machine learning toolkit for time series analysis in Python

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • dl-4-tsc

    Deep Learning for Time Series Classification

  • aeon

    A toolkit for conducting machine learning tasks with time series data

    Project mention: FLaNK 15 Jan 2024 | dev.to | 2024-01-15
  • PyPOTS

    A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data.

    Project mention: Missing values in time series collected from the real world are common to see and very pesky. A new state-of-the-art and fast neural network called SAITS is proposed to impute missing data in partially-observed multivariate time series. The code is open source on GitHub. | /r/datascience | 2023-06-28

    Oh, wow, thanks for sharing it here! PyPOTS still has a long way to go, and I'm making it better. If you have any suggestions for PyPOTS, please let me know. Your feedback is always welcome and means a lot to the community of PyPOTS! If you like PyPOTS, please star 🌟 PyPOTS repo on GitHub and share it with people you know who may need it to help others notice this helpful work. Thank you very much!

  • sktime-dl

    DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow

  • InceptionTime

    InceptionTime: Finding AlexNet for Time Series Classification

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • rocket

    ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels (by angus924)

  • minirocket

    MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

  • fold

    🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour. This is an internal project - documentation is not updated anymore and substantially differ from the current API. (by dream-faster)

    Project mention: Show HN: Fast Adaptive ML for Time-Series Forecasting | news.ycombinator.com | 2023-04-25
  • hydra

    HYDRA: Competing convolutional kernels for fast and accurate time series classification (by angus924)

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2024-01-15.

Python time-series-classification related posts

Index

What are some of the best open-source time-series-classification projects in Python? This list will help you:

Project Stars
1 sktime 7,330
2 tslearn 2,761
3 dl-4-tsc 1,447
4 aeon 768
5 PyPOTS 620
6 sktime-dl 599
7 InceptionTime 595
8 rocket 378
9 minirocket 257
10 fold 86
11 hydra 38
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