Open Source Code Review Software - Page 2
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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VisualCodeGrepper V2.3.2
Code security review tool for C/C++, C#, VB, PHP, Java, PL/SQL, COBOL.
VCG is an automated code security review tool for C++, C#, VB, PHP, Java, PL/SQL and COBOL, which is intended to speed up the code review process by identifying bad/insecure code. New beta functionality has been added for R. It has a few features that should make it useful. In addition to performing some more complex checks it also has a config file for each language that basically allows you to add any bad functions (or other text) that you want to search for. It attempts to find phrases within comments that can indicate broken code and it provides stats and a pie chart (for the entire codebase and for individual files) showing relative proportions of code, whitespace, comments, 'ToDo'-style comments and bad code. I've tried to produce something which searches intelligently for buffer overflows and signed/unsigned comparison in C, violations of OWASP recommendations in Java code, etc. Current version: 2.3.2 -
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Gnomock
Test your code without writing mocks with ephemeral Docker containers
Gnomock is an integration and end-to-end testing toolkit. It uses Docker to create temporary containers for application dependencies, set up their initial state and clean them up in the end. Gnomock allows to testing the code with no mocks wherever possible. The power of Gnomock is in a variety of Presets, each implementing a specific database, service, or other tools. Each preset provides ways of setting up its initial state as easily as possible: SQL schema creation, test data upload into S3, sending test events to Splunk, etc. -
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JavaScript Standard Style
JavaScript style guide, linter, and formatter
JavaScript Standard Style is a JavaScript style guide with linter and automatic formatter. It’s the simple, easy, fuss-free way to get a consistent style in your project. No more hundred-line style configuration files for every module/project; no more messy or inconsistent code; and no more wasting time sending code back and forth between reviewer and contributor. With Standard, your code is automatically formatted, no configuration necessary. With Standard, code clarity and community conventions is paramount. This may not make sense to all projects or development cultures, but does make a lot of sense for open source projects where setting up clear, automated contributor expectations makes a project healthier. -
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R.swift
Autocompleted resources like images, fonts & segues in Swift projects
Get strong typed, autocompleted resources like images, fonts and segues in Swift projects. It makes your code that uses resources to be fully typed, less casting and guessing what a method will return. Compile time checked, no more incorrect strings that make your app crash at runtime. Autocompleted, never have to guess that image name again. For autocompleted images, and compiletime checked images. After installing R.swift into your project you can use the R-struct to access resources. If the struct is outdated just build and R.swift will correct any missing/changed/added resources. Runtime validation with R.validate() ff all images used in storyboards and nibs are available, if all named colors used in storyboards and nibs are available, if all view controllers with storyboard identifiers can be loaded, if all custom fonts can be loaded. -
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diff-so-fancy
Make your diffs human readable instead of machine readable
diff-so-fancy strives to make your diffs human readable instead of machine readable. This helps improve code quality and helps you spot defects faster. diff-so-fancy is also available from NPM, Nix, brew, and as a package on Arch and Debian Linux. Windows users may need to install MinGW or the Windows subsystem for Linux. By default, the separator for the file header uses Unicode line-drawing characters. If this is causing output errors on your terminal, set this to false to use ASCII characters instead. By default, the separator for the file header spans the full width of the terminal. Use this setting to set the width of the file header manually. Pull requests are quite welcome, and should target the next branch. You can simplify git header chunks to a more human readable format. We are also looking for any feedback or ideas on how to make diff-so-fancy even fancier. -
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eslint-plugin-import
ESLint plugin with rules that help validate proper imports.
This plugin intends to support linting of ES2015+ (ES6+) import/export syntax, and prevent issues with misspelling of file paths and import names. All the goodness that the ES2015+ static module syntax intends to provide, is marked up in your editor. The maintainers of eslint-plugin-import and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open-source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. With the advent of module bundlers and the current state of modules and module syntax specs, it's not always obvious where import x from 'module' should look to find the file behind module. Up through v0.10ish, this plugin has directly used substack's resolve plugin, which implements Node's import behavior. This works pretty well in most cases. -
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Magic Python
Cutting edge Python syntax highlighter for Sublime Text
This is a package with preferences and syntax highlighter for cutting edge Python 3, although Python 2 is well supported, too. The syntax is compatible with Sublime Text, Atom and Visual Studio Code. It is meant to be a drop-in replacement for the default Python package. Attention VSCode users, MagicPython is used as the default Python highlighter in Visual Studio Code. Don't install it unless you want or need the cutting-edge version of it. You will likely see no difference because you're already using MagicPython. MagicPython correctly highlights all Python 3 syntax features, including type annotations, f-strings and regular expressions. It is built from scratch for robustness with an extensive test suite. Type hints in comments require support by the color scheme. The main motivation behind this package was the difficulty of using modern Python with other common syntax highlighters. -
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OpenCover
Code coverage tool for .NET 2 and above
OpenCover is a free and open source code coverage tool for .NET 2 and above (Windows OSs only - no MONO), with support for 32 and 64 processes and covers both branch and sequence points. It uses the profiler API that is currently only available to .NET Frameworks running on the Windows platform. OpenCover is an attempt at building a code coverage utility that addresses certain issues in maintaining PartCover support for 64-bit processes. -
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Periphery
A tool to identify unused code in Swift projects
A tool to identify unused code in Swift projects. The scan command is Periphery's primary function. To begin a guided setup, simply change to your project directory. To get coherent results from Periphery, it's crucial to understand the implications of the build targets you choose to analyze. For example, imagine a project consisting of three targets: App, Lib and Tests. The App target imports Lib, and the Tests targets imports both App and Lib. If you were to provide all three to the --targets option then Periphery will be able to analyze your project as a whole. However, if you only choose to analyze App and Lib, but not Tests, Periphery may report some instances of unused code that are only referenced by Tests. Therefore when you suspect Periphery has provided an incorrect result, it's important to consider the targets that you have chosen to analyze. -
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nvim-regexplainer
Describe the regexp under the cursor
Describe the regular expression under the cursor. You need to install regex with nvim-treesitter, as well as the grammar for whichever host language you're using. -
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Kodus
AI code reviews, just like your senior dev would do
Kodus-AI is a framework for building, training, and deploying intelligent agents and models, especially focusing on practical AI workflows for businesses and automation. It provides a structured set of tools and abstractions that help teams design agent behaviors, orchestrate data pipelines, optimize inference, and integrate AI capabilities with applications or services. The platform often includes model management, scalable training workflows, and orchestration patterns that help teams move from research or prototypes to production-ready AI deployments. Through configurable pipelines and a focus on modularity, it supports experimentation while maintaining reproducibility and performance. Its tooling is typically designed to handle real-world imperatives like logging, monitoring, versioning, and hooking into operational infrastructure. -
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Matter AI
Matter AI is open-source AI Code Reviewer Agent
Matter AI is an AI-powered platform designed to enhance productivity through automated content generation, data analysis, and decision support. It leverages machine learning models to process text, analyze patterns, and generate insights, making it suitable for businesses looking to optimize data-driven decision-making. Matter AI integrates with various data sources and provides customizable AI workflows tailored to different industries. -
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RefactorFirst
Identifies and prioritizes God Classes Highly Coupled classes
A tool designed to automate code refactoring for developers, reducing technical debt and improving code quality. -
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Static Analysis Tools for PHP
Docker image that provides static analysis tools for PHP
Docker image providing static analysis tools for PHP. The list of available tools and the installer is actually managed in the jakzal/toolbox repository. Docker image with quality analysis tools for PHP. To run the selected tool inside the container, you'll need to mount the project directory on the container with -v "$(pwd):/project". Some tools like to write to the /tmp directory (like PHPStan, or Behat in some cases), therefore it's often useful to share it between docker runs, i.e. with -v "$(pwd)/tmp-phpqa:/tmp". If you want to be able to interrupt the selected tool if it takes too much time to complete, you can use the --init option. Some tools are not included in the docker image, to use them refer to their documentation. Provides utilities to report legacy tests and usage of deprecated code. -
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Super-Linter
Combination of multiple linters to install as a GitHub Action
This repository is for the GitHub Action to run a Super-Linter. It is a simple combination of various linters, written in bash, to help validate your source code. The super-linter finds issues and reports them to the console output. Fixes are suggested in the console output but not automatically fixed, and a status check will show up as failed on the pull request. The design of the Super-Linter is currently to allow linting to occur in GitHub Actions as a part of continuous integration occurring on pull requests as the commits get pushed. It works best when commits are being pushed early and often to a branch with an open or draft pull request. There is some desire to move this closer to local development for faster feedback on linting errors but this is not yet supported. There is no need to set the GitHub Secret as it is automatically set by GitHub, it only needs to be passed to the action. -
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The Fuck
Magnificent app which corrects your previous console command
The Fuck is an app that corrects errors in previous console commands. It works by matching these previous commands with a rule. When it finds a match, it creates a new command based on the matched rule and executes this command. It has numerous rules enabled by default, including ones for fixing misspelled commands, fixing wrong commands, spell checking and correcting failed commands, and many, many others. You can also create your own rules and set certain parameters. -
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wemake-python-styleguide
The strictest and most opinionated python linter ever!
Welcome to the strictest and most opinionated Python linter ever. wemake-python-styleguide is actually a flake8 plugin with some other plugins as dependencies. Ensures consistency - no matter who works on it, the end product will always be the same dependable code. Helps avoid potential bugs - strict rules make sure that you don't make common mistakes. Efficient code reviews - each piece of code has a similar familiar style and syntax. If it passes all the checks, there's little left to review! Fewer code revisions - strict linting ensures that you don't have to re-write the codebase again and again. Reduce code redundancy - Sometimes we write complex code as we are thinking in a certain way about a problem. The linter offers suggestions that can help simplify the code and eliminate redundant statements. The ultimate goal of this project is to make all people write exactly the same Python code. -
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Chex4j allows you to document and enforce @pre and @post conditions of method calls with runtime or build time class file instrumentation. Conditions run as fast as normal code.
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Asm-Dude
Visual Studio extension for syntax highlighting assembly
Visual Studio extension for assembly syntax highlighting and code completion in assembly files and the disassembly window. Assembly syntax highlighting and code assistance for assembly source files and the disassembly window for Visual Studio 2015, 2017 and 2019. This extension can be found in the visual studio extensions gallery or download latest installer AsmDude.vsix (v1.9.6.14). If assembly is too much of a hassle but you still want access to specific machine instructions, consider Intrinsics-Dude. The instruction sets of the x86 and the x64, but also SSE, AVX, AVX2, Xeon-Phi (Knights Corner) instructions with their descriptions are provided. Most of the regularly used Masm directives are supported and some Nasm directives. If you are not happy with highlighting or the descriptions. Mnemonics and descriptions can be added and changed by updating the AsmDudeData.xml file that will be stored next to the binaries when installing the plugin (.vsix). -
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CodeSnap.nvim
Snapshot plugin with rich features that can make pretty code snapshots
Snapshot plugin with rich features that can make pretty code snapshots for Neovim. -
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Feflow
How to write cross-platform Node.js code
How to write cross-platform Node.js code. Why you should care: according to the 2018 Node.js user survey, 24% of Node.js developers use Windows locally and 41% use Mac. In production, 85% use Linux and 1% use BSD. Installers for each major OS are available on the Node.js website. To install, switch and update Node.js versions nvm can be used on Linux/Mac. It does not support Windows but nvm-windows, nvs and ps-nvm (for PowerShell) are alternatives that do. nve can be used to run a single command with one or several different Node.js versions. nvexeca can be used to do the same programmatically. The character encoding can be specified using an encoding option with most relevant Node.js core methods. While ASCII characters display correctly on all terminals, this is not the case for all characters. -
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LaReview
The code review workbench
LaReview is a developer-first, local-first code review workbench designed to transform complex pull requests or diffs into structured, high-signal review workflows powered by AI assistance. Instead of overwhelming developers with raw diffs or automated comment spam, the tool analyzes code changes and generates an intent-driven review plan that groups changes into logical flows such as authentication, API behavior, or data handling, and prioritizes them based on risk. It operates as a desktop application with CLI integration, allowing users to launch reviews directly from their terminal while keeping all processing local to ensure security and prevent data leakage. The system presents reviews as hierarchical task trees, enabling developers to work through changes step by step, attach notes, and track progress across different review concerns. -
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Reviewpad
Next generation pull requests and issues
Reviewpad is a service to automate pull requests and issues workflows. The workflows are specified in a YML-based configuration language described in the official documentation. In Reviewpad, you can automate actions over the pull requests and issues. With technological progress depending on the human ability to create and modify software systems, Reviewpad was founded to allow developers to safely contribute to any codebase as fast as possible. Developers deserve a better experience and that goal is what has driven our work at Reviewpad. At the core of this experience is security – developers should be able to go faster without increasing the risk of introducing changes that can hurt their products, users, and organizations. -
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Semantic
Parsing, analyzing, and comparing source code across many languages
semantic is a Haskell library and command line tool for parsing, analyzing, and comparing source code. Run semantic --help for complete list of up-to-date options. Semantic uses tree-sitter to generate parse trees, but layers in a more generalized notion of syntax terms across all supported programming languages. We'll see why this is important when we get to diffs and program analysis, but for now let's just inspect some output. It helps to have a simple program to parse. Symbols are named identifiers driven by the ASTs. This is the format that github.com uses to generate code navigation information allowing c-tags style lookup of symbolic names for fast, incremental navigation in all the supported languages. The incremental part is important because files change often so we want to be able to parse just what's changed and not have to analyze the entire project again. -
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reviewdog
Automated code review tool integrated with any code analysis tools
I’d like to introduce reviewdog! An automated code review tool working with any lint tools and supports local run as well. “reviewdog” provides a way to post review comments to code hosting services, such as GitHub, automatically by integrating with any linter tools with ease. It uses any output of lint tools, with translation if required, and posts them as a comment if the file and line are in diff of patches to review. reviewdog also supports running in a local environment to filter the output of lint tools by diff. We can use various linters and static code analysis tools to detect such problems in local machines, editors, CI services. However, here is the problem. Static analysis tools may report false-positive results. Reporting false-positive results itself is ok, but due to the false-positive results we cannot make build fail and it becomes difficult for us to find true positive results from messed up analysis results.