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Shapelets

Accelerated Time Series Analytics

Docs | Releases | Examples | Resources

Making the most of your data processing

Shapelets is a data science and time series ecosystem for data scientists, and business analysts to bring your ideas to life, and a great opportunity for data engineers and architects to deliver rapid solutions across their organization.

shapelets structure

Why is Shapelets special?

  1. Much faster performance with much less resources.

  2. Accelerated development of time series analytics.

  3. Unlimited users and pay-per-use.

Getting Started

Develop accelerated solutions that integrate seamlessly with your data ecosystem.

Install

To install a binary distribution, the only requirement is to have a working (recent, 3.7.3 and onwards) version of Python in your system. If you don’t have Python yet, you can download it here.

PIP

To install Shapelets using pip, you can install them with:

pip install shapelets-platform

NOTE: Using a virtual environment or Docker is a good idea to avoid conflicts between libraries installed on your system. If you are not familiar with these methods, you can find the instructions below.

To check if Shapelets is installed, you can execute the following:

python -c "import shapelets as sh; print(sh.version)"

It’s a good idea to use a virtual environment or docker image, to avoid conflicts between versions.

Conda

Currently, conda installation is not available.

Helpful links

Pinned Loading

  1. shapelets-demo shapelets-demo Public

    Python 4 1

Repositories

Showing 10 of 17 repositories
  • khiva-python Public

    Python binding for Khiva library.

    shapelets/khiva-python’s past year of commit activity
    Python 46 MPL-2.0 11 1 3 Updated May 20, 2024
  • shapelets/shapelets-demo’s past year of commit activity
    Python 4 MIT 1 0 0 Updated Jan 22, 2024
  • .github Public
    shapelets/.github’s past year of commit activity
    0 0 0 0 Updated Nov 16, 2023
  • CRoaring Public Forked from RoaringBitmap/CRoaring

    Roaring bitmaps in C (and C++)

    shapelets/CRoaring’s past year of commit activity
    C 0 Apache-2.0 287 0 0 Updated May 25, 2022
  • khiva Public

    An open-source library of algorithms to analyse time series in GPU and CPU.

    shapelets/khiva’s past year of commit activity
    C++ 225 MPL-2.0 29 14 6 Updated Sep 3, 2021
  • khiva-java Public

    Java binding for Khiva library.

    shapelets/khiva-java’s past year of commit activity
    Java 8 MPL-2.0 1 0 2 Updated Feb 1, 2021
  • khiva-kotlin Public

    Kotlin binding for Khiva library.

    shapelets/khiva-kotlin’s past year of commit activity
    Kotlin 5 MPL-2.0 0 0 1 Updated Oct 13, 2020
  • shapelets.github.io Public

    Website of Shapelets.io

    shapelets/shapelets.github.io’s past year of commit activity
    CSS 2 MIT 0 0 0 Updated Jun 11, 2020
  • SCAMP Public Forked from zpzim/SCAMP

    CPU/GPU Implementation of the SCAMP algorithm for computing the matrix profile

    shapelets/SCAMP’s past year of commit activity
    C++ 3 MIT 37 0 0 Updated Jun 9, 2020
  • carma Public Forked from RUrlus/carma

    Converters between Armadillo matrices (C++) and Numpy arrays using Pybind11

    shapelets/carma’s past year of commit activity
    C++ 0 Apache-2.0 24 0 0 Updated May 28, 2020

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