Chart.js is a free, open-source JavaScript library for data visualization, which supports eight chart types: bar, line, area, pie (doughnut), bubble, radar, polar, and scatter. Created by London-based web developer Nick Downie in 2013, now it is maintained by the community and is the second most popular JavaScript charting library on GitHub by the number of stars after D3.js, considered significantly easier to use though less customizable than the latter. Chart.js renders in HTML5 canvas and is widely covered as one of the best data visualization libraries. It is available under the MIT licens
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Instructions on building and testing Chart.js can be found in the documentation. Before submitting an issue or a pull request, please take a moment to look over the contributing guidelines first. For support, please post questions on Stack Overflow with the chart.js tag.
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Chart.js is a free, open-source JavaScript library for data visualization, which supports eight chart types: bar, line, area, pie (doughnut), bubble, radar, polar, and scatter. Created by London-based web developer Nick Downie in 2013, now it is maintained by the community and is the second most popular JavaScript charting library on GitHub by the number of stars after D3.js, considered significantly easier to use though less customizable than the latter. Chart.js renders in HTML5 canvas and is widely covered as one of the best data visualization libraries. It is available under the MIT license.
== History == Chart.js has had four major version releases as detailed below. {| class="wikitable" |+ !Version !Release date !Key contributors !Key features |- |1.0.1 |Jan 7, 2015 |Nick Downie |Initial release |- |2.0.0 |Apr 9, 2016 |Evert Timberg, Tanner Linsley |Expanded animations; time scale; bubble, scatter, and stacked charts |- |3.0.0 |Apr 2, 2021 |Jukka Kurkela, Evert Timberg, Ben McCann, Simon Brunel |Major performance improvements, scriptable options, rewritten animation system, new documentation |- |4.0.0 |Nov 14, 2022 |Jacco van den Berg, Jukka Kurkela, Evert Timberg |ESM-only packaging |}
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Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).