Static Code Analysis for R.

A program slicer and dataflow analyzer for the R programming language. Its slicer allows you to reduce a complicated program just to the parts related for a specific task (e.g., the generation of a single or collection of plots, a significance test, ...). The dataflow analysis provides you with a detailed view on the semantics of the R code which can greatly improve other analyses. To use flowR, check out the Visual Studio Code extension, the RStudio Addin, the Docker image, or the R package.

Analyses the source code for R packages and provides best-practice recommendations.

Quantifies the cyclomatic complexity of R functions / expressions.

Formatting of R source code files and pretty-printing of R code.

Static Code Analysis for R.

Provides code completion, refactoring, folding, diagnostics (with lintr), and more for R.

Performance optimizer for R code (with GUI).

Mega-Linter can handle any type of project thanks to its 70+ embedded Linters, its advanced reporting, runnable on any CI system or locally, with assisted installation and configuration, able to apply formatting and fixes

Reports known vulnerabilities in common dependencies and recommends updated packages to minimize breaking changes

Sigrid helps you to improve your software by measuring your system's code quality, and then compares the results against a benchmark of thousands of industry systems to give you concrete advice on areas where you can improve.

Statically generates a call graph image and displays it on screen.

Linter for integrating annotated TODOs with your issue trackers

Automated Code Analysis for repos on GitHub or BitBucket.

Static Reviewer executes code checks according to the most relevant Secure Coding Standards, OWASP, CWE, CVE, CVSS, MISRA, CERT, for 40+ programming languages, using 1000+ built-in validation rules for Security, Deadcode & Best Practices Available a module for Software Composition Analysis (SCA) to find vulnerabilities in open source and third party libraries.