16 open-source projects similar to ropensci/plotly, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
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
Graph and network visualization using tabular data in R
R package, using vis.js library for network visualization