Open Source Linux Code Review Software - Page 4
Sort By:
Code Review Software for Linux
View 14 business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
RedMine Mirror
Redmine is a flexible project management web application
Redmine is a flexible project management web application written using Ruby on Rails framework. -
2
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. -
3
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. -
4
Scenario
Simple, neat and powerful tool for loading and managing JS scripts
Scenario is a very simple yet neat and powerful tool for loading and managing JS scripts. Scenario is very useful for the following cases: 1. Unit testing for JS without reloading the web page and re-engineering your code. 2. Load and manage scripts stored in arrays (code management). 3. Optimize coding flow by dynamically switching among best solution per case. 4. Run scenarios either distinctly or in parallel. 5. Keep easier track of bugs and errors when deploying. So, Scenario executes multiple views of your code or multiple scenarios of your code life-time on-demand. -
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.
-
5
Scertify - TechDebt Community
Benchmark code quality and measure Technical Debt of projects in Sonar
Scertify™ Refactoring Assessment is an open source component dedicated to development & QA teams that provides exclusive benchmark data on Software Quality. It automatically detects the portions of an application that can be refactored, gives valuable information on refactoring strategies, and costs. Though IT departments have matured these last 10 years and have now no doubt on the benefits of a continuous control of code quality, three major concerns were still remaining, without any tools able to effectively addressing these needs: * How to understand quality indicators, and how to compare them with the state of the art? * How to measure and manage the gap between the absolute quality level of a software, and a reasonable (reachable) target of quality? * What are the shortest and safe ways to achieve your quality goals? -
6
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. -
7
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! -
8
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. -
9
-
Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
10
-
11
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. -
12
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. -
13
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. -
14
TeamTools
Subversion utilities
A set of web based tools to be used on a Subversion repository, offering: - Search - Browse and diff - Peer review - Alerts -
15
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. -
16
ThinkReview
AI-powered code reviews for GitLab & Azure DevOps. Zero setup. Powered
I Copilot for Gitlab and Azure DevOps Merge requests (MRs) and Pull Requests (PRs) in your browser. The extension Summarises merge requests , provided suggestions and find potential security issues , provide smart questions to dive deeper and chat with your pull requests The extension works out of the box without any complex setup - Supports custom Self hosted Gitlab as well as gitlab.com and gitlab enterprise Enhance your GitLab MRs and Azure Devops PRsworkflows with automatic patch diff access and AI-powered code reviews. Key Features: • Auto-detect MR and PR Pages: The extension automatically recognizes when you're viewing a GitLab merge request. • Works with any instance of gitlab and azure devops whether it's on a custom domain or on gitlab.com • Integrated AI Code Review: Get instant AI-powered code reviews displayed directly in the GitLab interface. • Seamless GitLab Integration: The extension adds functionality without disrupting the GitLab experience. -
17
TibCheck
TibCheck - simple and "dirty" validation tool for Tibco BW Projects
Simple and "dirty" validation tool for Tibco BW Projects. Tested using: - JRE 6 and JRE 7, on Windows XP SP3 32bit and Windows 7 64bit - Tibco BusinessWorks 5.9.x project Should also work with (not tested): - Tibco BusinessWorks projects in any version above 5.2 - Every OS using JRE 6 or above Expect many bugs, and do not expect frequent updates... but you never know :) -
18
TikiOne JaCoCoverage
Java (6&7) Code Coverage Plugin for NetBeans, based on JaCoCo
NetBeans module that provides JaCoCo code coverage (Java7 compatible). For Ant based JavaSE projects. Maven and Gradle support may be added later. WARNING: Binary files have been removed. They're now on a NetBeans update center. Please check https://github.com/jonathanlermitage/tikione-jacocoverage#download-stable-and-dev-builds for details. ~Jonathan Lermitage <jonathan.lermitage@gmail.com> -
19
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. -
20
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. -
21
Vim Markdown
Markdown Vim Mode
This is a Vim syntax file for the Markdown text-to-HTML conversion tool. Syntax highlighting, matching rules and mappings for the original Markdown and extensions. Folding is enabled for headers by default. Options are available to disable folding or change folding style. Concealing is set for some syntax such as bold, italic, code block and link. Concealing lets you conceal text with other text. The actual source text is not modified. If you put your cursor on the concealed line, the conceal goes away. This tells vim-markdown whether to attempt to follow a named anchor in a link or not. When it is 1, and only if a link can be split in two parts by the pattern '#', then the first part is interpreted as the file and the second one as the named anchor. This also includes urls of the form #anchor, for which the first part is considered empty, meaning that the target file is the current one. After the file is opened, the anchor will be searched. -
22
-
23
A tool to generate state machine graphs based on specially formatted comments in C and C++ code. The generated output is a Graphviz dot input file.
-
24
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.
-
25
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.
