4 Interactive graph
Type the name of an R package to view it's dependency graph.
If your package is not in our 20102 packages, closest one
will be picked. (yay algos!) Even though the off-centered
graph is the bane of my existence. You can hover over
nodes to view the package.
Dependency Graph
When you type in apackage, you get to see
packages that are required for this package to run.
We get to analyse how diverse our package would be, and how
qualitative it is.
Package Enhancers
"vcd and color-brewer always
go well together."
You get to find other such packages using the enhancers
graph. Extracted from user click data, allows you to see
well prescribed packages.
Package Usage
This is probably the most interesting one! Google uses back links to rank their websites, atleast partly. We define backlink as a directional dependency from a package to another. A --depends--on--> B
B's backlink would have A. How is this useful? Backlinks serve as digital recommendations, they allow you to see the roots of a good package. Just as reputable websites linking to each other boost credibility, R packages depending on well-established or foundational packages contribute to the credibility and functionality of the reliant package. This interdependency builds a network where established packages lend authority and reliability to others, enhancing the overall ecosystem's robustness and ensuring that functionalities are well-supported and dependable, much like how backlinks bolster a website's trustworthiness and authority on the web.
CAUTION: Render popular packages (ggplot2, tidyr) at your own risk, depending on your device, d3 may crash the website. Runs locally.