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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1
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. -
2
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! -
3
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. -
4
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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5
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. -
6
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. -
7
Sourcery AI Code Review
Instant AI code reviews
Sourcery is an AI-powered code assistant designed to help developers write cleaner, more maintainable Python code by suggesting real-time refactorings, improvements, and best-practice rewrites directly in popular editors and IDEs. Instead of just offering autocomplete, Sourcery analyzes existing functions and code patterns to provide context-aware suggestions that can simplify logic, reduce duplication, improve naming, and correct anti-patterns, helping developers adhere to idiomatic style without manual review. It integrates directly into development workflows through plugins for editors like VS Code, JetBrains IDEs, and command-line tools, so suggestions appear where developers already write code. Because it continuously evaluates changes, it can catch inefficiencies and suggest enhancements both while typing and during dedicated refactor passes. Teams can standardize code quality across codebases by adopting Sourcery’s automated suggestions as part of review or CI pipelines. -
8
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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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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10
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. -
11
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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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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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. -
14
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. -
15
DeepCode for Visual Studio Code
DeepCode extension for Visual Studio Code
DeepCode AI has always been the backbone of Snyk code, which is why it's the fastest, most accurate SAST on the market. DeepCode AI, powering the Snyk platform, utilizes multiple AI models, is trained on security-specific data, and is all curated by top security researchers to give you all the power of AI without any of the drawbacks. With 11 supported languages, and multiple AI models, Snyk's DeepCode AI was designed to find and fix vulnerabilities and manage tech debt. DeepCode AI powers Snyk's one-click security fixes and comprehensive app coverage, letting developers build fast while staying secure. Our specialized DeepCode AI is built and refined by top-tier researchers that use training data from millions of open source projects, never customer data. DeepCode AI's hybrid approach uses multiple models and security-specific training sets for one purpose, to secure applications. -
16
GrumPHP
A PHP code-quality tool
Sick and tired of defending code quality over and over again? GrumPHP will do it for you! This composer plugin will register some git hooks in your package repository. When somebody commits changes, GrumPHP will run some tests on the committed code. If the tests fail, you won't be able to commit your changes. This handy tool will not only improve your codebase, it will also teach your co-workers to write better code following the best practices you've determined as a team. GrumPHP has a set of common tasks built in. You will be able to use GrumPHP with a minimum of configuration. We don't want to bore you with all the details, so quick: install it yourself and unleash the power of GrumPHP! -
17
JSHint
A tool that helps to detect errors and in your JavaScript code
JSHint is a community-driven tool that detects errors and potential problems in JavaScript code. Since JSHint is so flexible, you can easily adjust it in the environment you expect your code to execute. JSHint is publicly available and will always stay this way. The project aims to help JavaScript developers write complex programs without worrying about typos and language gotchas. Any code base eventually becomes huge at some point, so simple mistakes, that would not show themselves when written, can become show stoppers and add extra hours of debugging. So, static code analysis tools come into play and help developers spot such problems. JSHint scans a program written in JavaScript and reports about commonly made mistakes and potential bugs. The potential problem could be a syntax error, a bug due to an implicit type conversion, a leaking variable, or something else entirely. -
18
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. -
19
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). -
20
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. -
21
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. -
22
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. -
23
TypeWiz
Automatically discover and add missing types in your TypeScript code
Manually adding types to your codebase can be a daunting task, especially given how much room there is for errors. It’s true that in some cases, the types will be obvious by just reading the code. But when I was adding types to a big project I inherited recently, I found myself actually running the code and setting a breakpoint inside a function to figure out the types that were being passed to it. This gave me an idea: build a tool that does this automatically and much faster, and then call it TypeWiz! TypeWiz is a tool that helps you enrich your TypeScript code while saving your precious time by automating the task of adding types to your code. TypeScript helps you ensure code quality (and also helps you explore your code), but it can only go so far on it’s own: you must provide it with type information to make the most of it. -
24
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. -
25
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.