A curated list and interactive browser for discovering and installing RStudio addins.
Addinslist is an R package that provides a curated directory and interactive browser for discovering and installing RStudio addins. It solves the problem of poor discoverability in the RStudio addin ecosystem by maintaining a centralized, updated list and integrating a search tool directly into the RStudio IDE.
R developers and data scientists who use RStudio and want to enhance their workflow with productivity extensions, but struggle to find available addins.
It saves time and effort by aggregating scattered addin information into a single, searchable resource and provides a seamless installation experience from within RStudio itself.
📜 Discover and install useful RStudio addins
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Aggregates all known RStudio addins into a single, searchable directory, solving the initial discoverability problem highlighted in the README as 'no easy way to know what addins exist.'
Adds a 'Browse RStudio addins' addin directly in RStudio after installation, allowing users to filter, explore, and install addins with one click, as shown in the provided screenshot.
Accepts pull requests for new addins, ensuring the list stays current with the ecosystem, evidenced by the call for submissions in the 'List of addins' section.
Available on CRAN with a simple `install.packages('addinslist')` command, making it accessible without complex setup or dependencies.
The list includes all submitted addins without ratings, reviews, or quality filtering, forcing users to trial each addin independently, which can be time-consuming.
Updates depend on user pull requests, so the list may have gaps, outdated entries, or inconsistencies, as seen with some addins marked as not on CRAN or platform-specific.
Only useful for RStudio users, and some listed addins have limitations (e.g., Windows-only features), reducing its utility in cross-platform or non-RStudio workflows.
Many addins in the list are not on CRAN, requiring manual installation from GitHub, which can complicate setup and introduce dependency issues.