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plotly/plotly.js v4.1.2 — a JavaScript library for creating interactive charts

The latest release of the MIT-licensed JavaScript charting library plotly/plotly.js is v4.1.2, and this repository creates interactive charts for statistics, 3D, science, maps, and more.

Repositoryplotly/plotly.js ↗

The latest release of the MIT-licensed JavaScript charting library plotly/plotly.js is v4.1.2, and this repository creates interactive charts for statistics, 3D, science, maps, and more.

GitHub description: Open-source JavaScript charting library behind Plotly and Dash

stars
★ 18.4K
Forks
2.1K
Language
JavaScript
License
MIT
Latest release
v4.1.2
Read original source ↗View on GitHub ↗

plotly/plotly.js is a JavaScript visualization library that represents data as interactive charts. The repository describes this code as the open-source charting library that underpins Plotly and Dash. It can create several families of charts — statistics, 3D, science, maps — and the latest release is v4.1.2.

The README describes Plotly.js as a standalone JavaScript data visualization library; Plotly.py and Plotly.R, the plotly modules of the Python and R ecosystems, also run this code. It can build statistical charts, 3D graphs, scientific charts, SVG and tile maps, and financial charts, and it is loaded either as a Node.js module or through a script tag. The primary language is JavaScript, the license is MIT, and it has 18366 GitHub stars. The repository was created on November 5, 2015.

However, the scope that can be judged from the provided records is narrow. There are no performance measurements and no comparison material against other libraries, and nothing is given about what changed in v4.1.2, so the release notes have to be checked. In the score record, the momentum metric is low at 1.8 out of 10, the novelty, technology, and quality metrics were not derived, and there is no basis for judging freshness. Since the repository has continued since 2015, it is not a newly appeared project; it is closer to an option worth comparing side by side with existing candidates when picking a charting library.