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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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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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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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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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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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. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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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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Pylint
It's not just a linter that annoys you!
Pylint is a static code analyzer for Python 2 or 3. The latest version supports Python 3.7.2 and above. Pylint analyses your code without actually running it. It checks for errors, enforces a coding standard, looks for code smells, and can make suggestions about how the code could be refactored. Projects that you might want to use alongside pylint include flake8 (faster and simpler checks with very few false positives), mypy, pyright or pyre (typing checks), bandit (security-oriented checks), black and isort (auto-formatting), autoflake (automated removal of unused import or variable), pyupgrade (automated upgrade to newer python syntax) and pydocstringformatter (automated pep257). Pylint isn't smarter than you: it may warn you about things that you have conscientiously done or checks for some things that you don't care about. During adoption, especially in a legacy project where pylint was never enforced. -
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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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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. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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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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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. -
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Sentry
Cross-platform application monitoring and error tracking software
Sentry is a cross-platform, self-hosted error monitoring solution that helps software teams discover, monitor and fix errors in real-time. The most users and logs will have to provide are the clues, and Sentry provides the answers. Sentry offers enhanced application performance monitoring through information-laden stack traces. It lets you build better software faster and more efficiently by showing you all issues in one place and providing the trail of events that lead to errors. It also provides real-time monitoring and data visualization through dashboards. Sentry’s server is in Python, but its API enables for sending events from any language, in any application. More than fifty-thousand companies already ship better software faster thanks to Sentry; let yours be one of them! -
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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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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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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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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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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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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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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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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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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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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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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!
