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Shapelets

Accelerated Big Data 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

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  1. shapelets-demos shapelets-demos Public

    Python 4 1

  2. training training Public

    Shapelets Training Environment

Repositories

Showing 10 of 21 repositories
  • VectorDBBench Public Forked from zilliztech/VectorDBBench

    A Benchmark Tool for VectorDB

    shapelets/VectorDBBench’s past year of commit activity
    Python 0 MIT 157 0 0 Updated Dec 5, 2024
  • training Public

    Shapelets Training Environment

    shapelets/training’s past year of commit activity
    0 MIT 0 0 0 Updated Dec 4, 2024
  • DeepEye-APIs Public Forked from HKUSTDial/DeepEye-APIs

    APIs of DeepEye. DeepEye: Towards Automatic Data Visualization [ICDE 2018]

    shapelets/DeepEye-APIs’s past year of commit activity
    Python 0 21 0 0 Updated Dec 3, 2024
  • .github Public
    shapelets/.github’s past year of commit activity
    0 0 0 0 Updated Nov 27, 2024
  • shapelets-mosaic Public Forked from uwdata/mosaic

    An extensible framework for linking databases and interactive views.

    shapelets/shapelets-mosaic’s past year of commit activity
    JavaScript 0 62 0 0 Updated Nov 19, 2024
  • shapelets/shapelets-demos’s past year of commit activity
    Python 4 MIT 1 0 0 Updated Oct 8, 2024
  • 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
  • CRoaring Public Forked from RoaringBitmap/CRoaring

    Roaring bitmaps in C (and C++)

    shapelets/CRoaring’s past year of commit activity
    C 1 Apache-2.0 298 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++ 230 MPL-2.0 30 14 6 Updated Sep 3, 2021
  • khiva-java Public

    Java binding for Khiva library.

    shapelets/khiva-java’s past year of commit activity
    Java 7 MPL-2.0 1 0 2 Updated Feb 1, 2021

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