Open Source Linux Code Review Software
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Code Review Software for Linux
View 14 business solutionsBrowse free open source Code Review software and projects for Linux below. Use the toggles on the left to filter open source Code Review software by OS, license, language, programming language, and project status.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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tkdiff
Side-by-side diff viewer, editor and merge preparer
tkdiff is a graphical front end to the diff program. It provides a side-by-side view of the differences between two text files, along with several innovative features such as diff bookmarks, a graphical map of differences for quick navigation, and a facility for slicing diff regions to achieve exactly the merge output desired. -
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SonarQube
Continuous inspection
SonarQube empowers all developers to write cleaner and safer code. Thousands of automated Static Code Analysis rules, protecting your app on multiple fronts, and guiding your team. Catch tricky bugs to prevent undefined behavior from impacting end-users. Fix vulnerabilities that compromise your app, and learn AppSec along the way with Security Hotspots. Make sure your codebase is clean and maintainable, to increase developer velocity! We embrace progress - whether it's multi-language applications, teams composed of different backgrounds or a workflow that's a mix of modern and legacy, SonarQube has you covered. SonarQube fits with your existing tools and pro-actively raises a hand when the quality or security of your codebase is at risk. SonarQube can analyse branches of your repo, and notify you directly in your Pull Requests! -
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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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Roslyn
The .NET Compiler Platform
Roslyn provides rich, code analysis APIs to open source C# and Visual Basic compilers. This enables you to access a wealth of information about your code from compilers, which you can then use for code-related tasks in your tools and applications. Roslyn dramatically lowers the barrier to entry for creating code-focused tools and applications, creating many opportunities for innovation. -
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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5
Flow
A static type checker for JavaScript
Flow is a static type checker for JavaScript. It was designed to help improve code quality and developer productivity. It does this through several smart capabilities. First, it identifies problems as you code, so you no longer have to waste time guessing and checking again and again. Second, it understands your code and makes its knowledge available, allowing you to build other smart tools on top of it. Third, it helps you refactor safely so you can focus on the changes you want to make and not on what you might break. Lastly, it can help prevent bad rebases and protect your carefully designed library, which is especially relevant when working with a large group of developers. Flow integrates with many tools, so you can easily and seamlessly insert it into your existing workflow and toolchain. -
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Eclipse Checkstyle Plug-in
Integrates Checkstye into the Eclipse IDE
The Eclipse Checkstyle plug-in integrates the Checkstyle Java code auditor into the Eclipse IDE. The plug-in provides real-time feedback to the user about violations of rules that check for coding style and possible error prone code constructs. -
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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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SimpleCov
Code coverage for Ruby with a powerful configuration library
Code coverage for Ruby with a powerful configuration library and automatic merging of coverage across test suites. SimpleCov is a code coverage analysis tool for Ruby. It uses Ruby's built-in Coverage library to gather code coverage data, but makes processing its results much easier by providing a clean API to filter, group, merge, format, and display those results, giving you a complete code coverage suite that can be set up with just a couple lines of code. SimpleCov/Coverage track covered ruby code, gathering coverage for common templating solutions like erb, slim and haml is not supported. In most cases, you'll want overall coverage results for your projects, including all types of tests, Cucumber features, etc. SimpleCov automatically takes care of this by caching and merging results when generating reports, so your report actually includes coverage across your test suites and thereby gives you a better picture of blank spots. -
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Chroma
A general purpose syntax highlighter in pure Go
As Chroma has just been released, its API is still in flux. That said, the high-level interface should not change significantly. Chroma takes source code and other structured text and converts it into syntax-highlighted HTML, ANSI-coloured text, etc. Chroma is based heavily on Pygments and includes translators for Pygments lexers and styles. ABAP, ABNF, ActionScript, ActionScript 3, Ada, Angular2, ANTLR, ApacheConf, APL, AppleScript, Arduino, Awk. PacmanConf, Perl, PHP, PHTML, Pig, PkgConfig, PL/pgSQL, plaintext, Pony, PostgreSQL SQL dialect, PostScript, POVRay, PowerShell, Prolog, PromQL, Properties, Protocol Buffer, PSL, Puppet, Python 2, Python. Lexers convert source text into a stream of tokens, styles specify how token types are mapped to colours, and formatters convert tokens and styles into formatted output. A package exists for each of these, containing a global Registry variable with all of the registered implementations. -
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10
HTMLHint
The static code analysis tool you need for your HTML
Static code analysis tool you need for your HTML. By default, htmlhint looks for a .htmlhintrc file in the current directory and all parent directories and applies its rules when parsing a file. -
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Codeball AI
AI Code Review that finds bugs and fast-tracks your code
Codeball is a code review AI that scores pull requests on a grade from 0 (needs careful review) to 1. Use Codeball to add labels to help you focus, auto-approve PRs, and more. The Codeball action is easy to use (sane defaults) and is highly customizable to fit your workflow when needed. Label PRs when you should review them with caution. Stay sharp, don't let the bugs pass through. Identifies and approves or labels safe PRs. Save time by fast-tracking PRs that are easy to review. Fully customizable and programmable with GitHub Actions. Codeball Actions are built on multiple smaller building blocks, that are heavily configurable through GitHub Actions. Codeball uses a deep learning model that has been trained on over 1 million Pull Requests. For each contribution, it considers hundreds of inputs. Codeball is optimized for precision, which means it only approves contributions that it's really confident in. -
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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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Kotlin Explorer
Desktop tool to quickly explore disassembled Kotlin code
Kotlin Explorer is a desktop tool to quickly and easily disassemble Kotlin code. After launching Kotlin Explorer, type valid Kotlin code in the left pane, then click File > Decompile or use Cmd-Shift-D on macOS, Ctrl-Shift-D on Linux and Windows. The middle pane will show the Android DEX bytecode, and the right panel the native assembly resulting from ahead of time compilation (AOT). -
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Open Code Review
Open-source & free, battle-tested at Alibaba's scale
Open Code Review is an AI-powered command-line code review tool. It originated from Alibaba’s internal AI review assistant and was later released as an open-source project for broader developer use. The tool reads Git diffs, analyzes changed files, and generates structured review comments with line-level precision. It is designed to go beyond shallow diff feedback by letting the agent inspect full files, search the codebase, and use surrounding context. Developers can configure model endpoints, making it adaptable to different LLM providers and deployment needs. Its main value is bringing large-scale, agent-assisted review workflows into local and CI-based development environments. -
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Trouble.nvim
Pretty diagnostics, references, telescope results, quickfix, location
A pretty list for showing diagnostics, references, telescope results, quickfix and location lists to help you solve all the trouble your code is causing. -
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cargo-crev
A cryptographically verifiable code review system for the cargo
A cryptographically verifiable code review system for the cargo (Rust) package manager. cargo-crev is an implementation of Crev as a command-line tool integrated with cargo. This tool helps Rust users evaluate the quality and trustworthiness of their package dependencies. Crev is a language and ecosystem agnostic, distributed code review system. Use reviews produced by other users. Increase the trustworthiness of your own code. Build a web of trust of other reputable users to help verify the code you use. Static binaries are available from the releases page. Crev is a system for verifying the security and reliability of dependencies based on collaborative code reviews. Crev users review the source code of packages/libraries/crates and share their findings with others. Crev then uses Web of Trust to select trusted reviews and judge the reputation of projects' dependencies. -
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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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git-autofixup
Create fixup commits for topic branches
git-autofixup parses hunks of changes in the working directory out of git diff output and uses git blame to assign those hunks to commits in <revision>..HEAD, which will typically represent a topic branch, and then creates fixup commits to be used with git rebase --interactive --autosquash. It is assumed that hunks near changes that were previously committed to the topic branch are related. <revision> defaults to git merge-base --fork-point HEAD @{upstream} || git merge-base HEAD @{upstream}, but this will only work if the current branch has an upstream/tracking branch. See git help revisions for info about how to specify revisions. -
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Enlightn
Your performance & security consultant, an artisan command away
Enlightn scans your Laravel app code to provide you actionable recommendations on improving its performance, security & more. We'll perform over 100 checks against your application for common issues, and provide actionable feedback for fixing them. Think of Enlightn as your performance and security consultant. Enlightn will "review" your code and server configurations, and give you actionable recommendations on improving performance, security, and reliability! The Enlightn OSS (open source software) version has 64 automated checks that scan your application code, web server configurations, and routes to identify performance bottlenecks, possible security vulnerabilities, and code reliability issues. Enlightn Pro (commercial) is available for purchase on the Enlightn website and has an additional 64 automated checks (a total of 128 checks). Serving Assets: Minification, cache headers, CDN, and compression headers. -
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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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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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Patchwork
Automate code reviews, patching and documentation
Patchwork automates development gruntwork like PR reviews, bug fixing, security patching, and more using a self-hosted CLI agent and your preferred LLMs. -
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PyTorch Lightning
The lightweight PyTorch wrapper for high-performance AI research
Scale your models, not your boilerplate with PyTorch Lightning! PyTorch Lightning is the ultimate PyTorch research framework that allows you to focus on the research while it takes care of everything else. It's designed to decouple the science from the engineering in your PyTorch code, simplifying complex network coding and giving you maximum flexibility. PyTorch Lightning can be used for just about any type of research, and was built for the fast inference needed in AI research and production. When you need to scale up things like BERT and self-supervised learning, Lightning responds accordingly by automatically exporting to ONNX or TorchScript. PyTorch Lightning can easily be applied for any use case. With just a quick refactor you can run your code on any hardware, run distributed training, perform logging, metrics, visualization and so much more! -
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eslint-plugin-compat
Check the browser compatibility of your code
Lint the browser compatibility of your code. Browser targets are configured using a browser list. You can configure browser targets in your package.json. If no configuration is found, browser list defaults to "> 0.5%, last 2 versions, Firefox ESR, not dead". Add polyfills to the settings section of your eslint config. Append the name of the object and the property if one exists. Toolchains for native platforms, like iOS and Android, have had API linting from the start. It's about time that the web had similar tooling. -
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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.
