Open Source Linux Code Review Software
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Code Review Software for Linux
View 10 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. -
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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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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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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. -
Sales CRM and Pipeline Management Software | PipedrivePipedrive’s simple interface empowers salespeople to streamline workflows and unite sales tasks in one workspace. Unlock instant sales insights with Pipedrive’s visual sales pipeline and fine-tune your strategy with robust reporting features and a personalized AI Sales Assistant.
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5
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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Highlight.js
JavaScript syntax highlighter with language auto-detection
Highlight.js is a syntax highlighter written in JavaScript. It works in the browser as well as on the server. It can work with pretty much any markup, doesn’t depend on any other frameworks, and has automatic language detection. Highlight.js supports over 180 languages in the core library. There are also 3rd party language definitions available to support even more languages. We strongly recommend <pre><code> wrapping for code blocks. It's quite semantic and "just works" out of the box with zero fiddling. It is possible to use other HTML elements (or combos), but you may need to pay special attention to preserving linebreaks. You can run highlighting inside a web worker to avoid freezing the browser window while dealing with very big chunks of code. -
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DeepCode
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. -
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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. -
Crowdtesting That Delivers | TesteumTesteum connects your software, app, or website to a worldwide network of testers, delivering detailed feedback in under 48 hours. Ensure functionality and refine UX on real devices, all at a fraction of traditional costs. Trusted by startups and enterprises alike, our platform streamlines quality assurance with actionable insights. Click to perfect your product now.
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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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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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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. -
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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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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! -
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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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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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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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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. -
19
Polacode
Polaroid for your code
Use polacode.target, polacode.shadow, polacode.transparentBackground and polacode.backgroundColor to control image appearance. You have spent countless hours finding the perfect JavaScript grammar, matching it with a sleek-looking VS Code theme, trying out all the best programming fonts. You take three days porting over your theme before starting to use VS Code. You shell out $200 for italic cursive html attributes. The code has to look right. -
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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. -
21
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. -
22
vscode-pull-request-github
GitHub Pull Requests for Visual Studio Code
This extension allows you to review and manage GitHub pull requests and issues in Visual Studio Code. The support includes authenticating and connecting VS Code to GitHub. GitHub Enterprise is supported by the community, please see this PR for how to set it up. Listing and browsing PRs from within VS Code. Reviewing PRs from within VS Code with in-editor commenting. Validating PRs from within VS Code with easy checkouts. Terminal integration that enables UI and CLIs to co-exist. Listing and browsing issues from within VS Code. Hover cards for "@" mentioned users and for issues. Completion suggestions for users and issues. A "Start working on issue" action which can create a branch for you. Code actions to create issues from "todo" comments. -
23
Free SQL Formatter
SQL code formatter / beautifier
FSQLF - Free SQL Formatter is open source SQL code formatter and beautifier, built to make life easier for people dealing with long SQL queries. -
24
Highlight Code Converter
Source code to formatted text converter
Highlight is a source code to formatted text converter. It generates HTML, XHTML, RTF, ODT, LaTeX, TeX, SVG, BBCode and terminal escape sequences with coloured syntax highlighting. Language definitions and colour themes are Lua scripts and support plugins -
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Halstead Metrics Tool
Software Metrics Analyzer for C,C++,Java Programs
Some software measures are still not widely used in industry, despite the fact that they were defined many years ago, and some additional insights might be gained by revisiting them today with the benefit of recent lessons learned about how to analyze their design. This project analyzes the design and definitions of Halstead’s metrics, the set of which is commonly referred to as ‘software science’. This analysis is based on a measurement analysis framework defined to structure, compare, analyze and provide an understanding of the various measurement approaches presented in the software engineering measurement literature.
