sputnik

Code scanner

An automated tool for static code analysis and review of Java projects.

Static code review for your Gerrit patchsets. Runs Checkstyle, PMD, FindBugs, Scalastyle, CodeNarc, JSLint for you!

GitHub

201 stars
22 watching
117 forks
Language: Java
last commit: 8 months ago
automated-testscodenarcfindbugsgerritjavajslintpmdreviewsputnikstatic-code-analysis

Related projects:

Repository Description Stars
tcosolutions/betterscan A toolchain that scans source code and infrastructure IaC for security risks and provides a unified report. 817
security-code-scan/security-code-scan Detects vulnerabilities in C# and VB.NET code 944
mbj/mutant Automated code review tool with mutation testing to simplify and improve code quality 1,956
kowainik/stan Analyzes Haskell code to identify potential errors and areas for improvement 570
noveogroup/android-check A plugin that runs static code analysis tools on Android projects 267
pwittchen/android-quality-starter Automates setup of static code analysis tools for Android projects 32
zupit/horusec Identifies security flaws in software projects through static code analysis 1,149
xampprocky/tokei A tool for displaying statistics about codebase size and language distribution 11,251
sonarsource/sonar-java Analyzes Java code quality and security issues to help developers write cleaner code 1,134
target/strelka A real-time file scanning system designed to detect and analyze files at enterprise scale 882
rubik/radon A tool to analyze and report on the complexity and maintainability of Python codebases 1,739
mpeterv/luacheck A tool for detecting and reporting issues in Lua code 1,921
tushartushar/designitejava A tool for assessing the quality and structure of Java code by detecting design and implementation smells and computing various object-oriented metrics. 173
mattzcarey/code-review-gpt An automated code review tool powered by Large Language Models that scans source code for potential issues and provides feedback 1,600
byt3hx/jsleak A command-line tool designed to uncover secrets and links in source code by analyzing JavaScript files. 478