AlexandreHiroyuki / DataTome

Data analysis and filtering using time series for embedded devices (IoT). All in a single C++ library, Data Tome. Focus on the developer's experience and performance. It is the successor to the MovingAveragePlus library.
https://alexandrehiroyuki.github.io/DataTomeDocs/
MIT License
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algorithms analysis arduino arduino-library cpp data-processing data-structures filters moving-average pio platformio platformio-library standard-deviation variance

Data Tome

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Description

Data Tome is a C++ library for data analysis and data filtering on embedded devices (IoT). 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.

Contributing

Read here how to contribute.

Developed by

Alexandre HiroyukiGitHubLinkedIn