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Data analysis and data filtering on IoT devices on a time series in a unique C++ library, Data Tome. Focus on the developer's experience and performance. It is the successor to the MovingAveragePlus library.

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AlexandreHiroyuki/DataTome

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Data Tome

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Description

Data Tome is a C++ library for data analysis and data filtering on IoT devices. Focus on the developer's experience and performance.

Getting Started

Documentation

This library calculates statistical functions using a time-series sample implemented with a circular array that improves the performance.

Online Docs: Click here to see the full documentation

Docs GitHub Repository: The documentation is coded with docusaurus, and you can visit the repository

Contributing

Read here how to contribute.

Developed by

Alexandre HiroyukiGitHubLinkedIn