An interactive graphing library for R
The main features of ropensci/plotly are: R Visualization, R Visualization Packages, Html Widgets.
Open-source alternatives to ropensci/plotly include: hadley/ggplot2 — ggplot2 is an R data visualization library and statistical graphics engine. It implements a grammar of graphics that… tidyverse/ggplot2 — ggplot2 is a data visualization library for R based on a formal grammar of graphics. It provides a declarative… leaverou/awesomplete — Awesomplete is a lightweight JavaScript library for adding searchable suggestion lists to text fields. It functions as… datastorm-open/visnetwork — R package, using vis.js library for network visualization. johncoene/echarts4r — Echarts 5 for R. jbkunst/highcharter — R wrapper for highcharts.
ggplot2 is an R data visualization library and statistical graphics engine. It implements a grammar of graphics that functions as a declarative plotting framework, allowing users to specify what a plot should contain rather than how to draw it. The system builds visualizations by mapping data variables to visual aesthetics through a structured set of layering rules. This approach enables the composition of complex graphics by stacking independent components, such as geometric objects and scales, on top of a shared coordinate system. The framework supports scientific plotting and exploratory
ggplot2 is a data visualization library for R based on a formal grammar of graphics. It provides a declarative plotting framework that allows users to create complex graphics by combining geometric objects, statistical summaries, and coordinate systems. The system is distinguished by a layered approach to composition, where visualizations are built incrementally by stacking independent geometric, statistical, and coordinate layers. It utilizes a hierarchical styling engine to manage non-data elements such as backgrounds, fonts, and margins, and includes a multi-panel faceting tool for splitti
Awesomplete is a lightweight JavaScript library for adding searchable suggestion lists to text fields. It functions as an HTML-based autocomplete widget that renders filtered results from arrays, HTML elements, or comma-separated strings with zero external dependencies. The library includes a customizable suggestion engine that allows for the definition of custom matching logic, sorting rules, and trigger thresholds. It is designed as an event-driven UI component, providing a programmable interface to intercept selection events and manage the state of the suggestion popup. The system support
R package, using vis.js library for network visualization