@onvo-ai/web-components
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The web component SDK for Onvo AI dashboard builder
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/*!
* @kurkle/color v0.3.4
* https://github.com/kurkle/color#readme
* (c) 2024 Jukka Kurkela
* Released under the MIT License
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/*!
* Chart.js v4.4.8
* https://www.chartjs.org
* (c) 2025 Chart.js Contributors
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/*!
* chartjs-chart-sankey v0.14.0
* https://github.com/kurkle/chartjs-chart-sankey#readme
* (c) 2024 Jukka Kurkela
* Released under the MIT license
*/
/*!
* chartjs-plugin-datalabels v2.2.0
* https://chartjs-plugin-datalabels.netlify.app
* (c) 2017-2022 chartjs-plugin-datalabels contributors
* Released under the MIT license
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/*!
* chartjs-plugin-zoom v2.2.0
* https://www.chartjs.org/chartjs-plugin-zoom/2.2.0/
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/*! @preserve
* numeral.js
* version : 2.0.6
* author : Adam Draper
* license : MIT
* http://adamwdraper.github.com/Numeral-js/
*/
/*! Hammer.JS - v2.0.7 - 2016-04-22
* http://hammerjs.github.io/
*
* Copyright (c) 2016 Jorik Tangelder;
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/**
* @license
*
* The APCA contrast prediction algorithm is based of the formulas published
* in the APCA-1.0.98G specification by Myndex. The specification is available at:
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*
* Note that the APCA implementation is still beta, so please update to
* future versions of chroma.js when they become available.
*
* You can read more about the APCA Readability Criterion at
* https://readtech.org/ARC/
*/
/**
* @license React
* react-dom.production.min.js
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* LICENSE file in the root directory of this source tree.
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