https://github.com/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://github.com/alexandrehiroyuki/datatome

algorithms analysis arduino arduino-library cpp cumulative-mean data-processing data-structures exponential-moving-average filters median moving-average moving-median pio platformio platformio-library standard-deviation variance

Last synced: 4 months ago
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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.

• Host: GitHub
• URL: https://github.com/alexandrehiroyuki/datatome
• Owner: AlexandreHiroyuki
• License: mit
• Created: 2023-12-23T02:46:16.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2025-05-31T05:58:54.000Z (5 months ago)
• Last Synced: 2025-05-31T17:23:10.002Z (5 months ago)
• Topics: algorithms, analysis, arduino, arduino-library, cpp, cumulative-mean, data-processing, data-structures, exponential-moving-average, filters, median, moving-average, moving-median, pio, platformio, platformio-library, standard-deviation, variance
• Language: C++
• Homepage: https://alexandrehiroyuki.github.io/DataTomeDocs/
• Size: 220 KB
• Stars: 8
• Watchers: 1
• Forks: 1
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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README

          
# Data Tome

[![Latest Release](https://img.shields.io/github/v/release/AlexandreHiroyuki/DataTome)](https://github.com/AlexandreHiroyuki/DataTome/releases)

[![PlatformIO Registry](https://badges.registry.platformio.org/packages/alexandrehiroyuki/library/DataTome.svg)](https://registry.platformio.org/libraries/alexandrehiroyuki/DataTome)

[![Latest Release Date](https://img.shields.io/github/release-date/AlexandreHiroyuki/DataTome)](https://github.com/AlexandreHiroyuki/DataTome/releases)

[![Last Commit Date](https://img.shields.io/github/last-commit/AlexandreHiroyuki/DataTome)](https://github.com/AlexandreHiroyuki/DataTome/commits/master)

[![GitHub Stars](https://img.shields.io/github/stars/AlexandreHiroyuki/DataTome?style=flat&color=yellow)](https://github.com/AlexandreHiroyuki/DataTome/stargazers)

[![Contributors](https://img.shields.io/github/contributors-anon/AlexandreHiroyuki/DataTome)](https://github.com/AlexandreHiroyuki/DataTome/graphs/contributors)

[![Top Language](https://img.shields.io/github/languages/top/AlexandreHiroyuki/DataTome)](https://github.com/AlexandreHiroyuki/DataTome)







## 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.

- Simple Moving Average (SMA). 

- Exponential Moving Average (EMA).

- Cumulative Average (CA).

- Simple Moving Median (implemented on DataTomeAnalysis).

- Variance, Standard Deviation, and more.

## Getting Started

- This library is listed in the official [Arduino Library Manager](https://www.arduino.cc/reference/en/libraries/datatome/).

- _**—Recommended Platform—**_ Use the [PlatformIO Registry](https://registry.platformio.org/libraries/alexandrehiroyuki/DataTome) to install the library!

- You can see the source code at the [GitHub Repository](https://github.com/AlexandreHiroyuki/DataTome).

- To avoid duplicating data for smaller samples of the same data, _[check the Partials feature](https://alexandrehiroyuki.github.io/DataTomeDocs/docs/category/partials)_!

## 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](https://alexandrehiroyuki.github.io/DataTomeDocs/)_

- Docs GitHub Repository: _[The documentation is coded with docusaurus, and you can visit the repository](https://github.com/AlexandreHiroyuki/DataTomeDocs)_

## Contributing

[Read here how to contribute](https://github.com/AlexandreHiroyuki/DataTome/blob/master/CONTRIBUTING.md).

It describes how to report issues, code conventions, testing, and how to publish a package on the PlatformIO Registry.

## Developed by

**Alexandre Hiroyuki** – [GitHub](https://github.com/AlexandreHiroyuki) – [LinkedIn](https://www.linkedin.com/in/alexandre-hiroyuki-yamauchi/)