Codacy
SonarQube
CodeClimate
CodeFactor.io
ESLint
Coveralls
SensioLabs Insight
codebeat
CodeMouse
CodeRabbit
CodeReviewBot AI
GitHub Copilot
Reviewable
Codacy automates code reviews and monitors code quality on every commit and pull request reporting back the impact of every commit or pull request, issues concerning code style, best practices, security, and many others. It monitors changes in code coverage, code duplication and code complexity. Saving developers time in code reviews thus efficiently tackling technical debt. JavaScript, Java, Ruby, Scala, PHP, Python, CoffeeScript and CSS are currently supported. Codacy is static analysis without the hassle.
Codacy CodeMouseNo CodeMouse videos yet. You could help us improve this page by suggesting one.
CodeMouse's answer:
Software engineering teams and individual developers who work in GitHub pull requests โ from solo builders and startups to small/mid engineering teams who want a consistent, tireless second reviewer on every PR without drowning in false positives.
CodeMouse's answer:
CodeMouse started from a simple frustration: every AI code reviewer the team tried buried the real issues under a pile of nitpicks, so they stopped reading them. The fix wasn't a smarter single model โ it was consensus. Ask several models to review independently, surface only what they agree on, and you get the signal without the noise. CodeMouse is that idea shipped as a GitHub-native reviewer. Built by SquidCode.
CodeMouse's answer:
CodeMouse's answer:
CodeMouse reviews every GitHub pull request with multiple AI models and only flags what they independently agree is a real problem. Most AI reviewers fire dozens of low-confidence nitpicks per PR โ so developers tune them out. CodeMouse uses cross-model consensus to cut the noise, so the comments you get are the ones actually worth acting on. It reads the room: matching review depth to the change instead of commenting on everything.
CodeMouse's answer:
Single-model reviewers optimize for coverage, which means noise โ and noisy reviewers get ignored. CodeMouse optimizes for signal: a finding only surfaces when several models concur, so trust stays high and review fatigue drops. It runs automatically on every PR, integrates natively with GitHub, and is priced per-org rather than nickel-and-diming per seat.
CodeMouse's answer:
Early-stage: solo developers and small engineering teams adopting it on/around launch
Based on our record, Codacy seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I'm trying to use Codacy to review my code. One of the issues is regarding the use of the "setcookie" function. Source: over 4 years ago
Does anyone have an example on how to get this conversion done on github actions where I can convert the *.coverage file into a *.xml file for uploading to codacy.com. Source: about 5 years ago
Online analysisFinally, if you want a simple way to analyze your code without having to manually configure everything locally, you can use an online code review service such as Codacy (shameless plug here). We already integrate some of the mentioned detection tools in this article and we are working every day to improve the service. The other main benefit of using automated code review tools is to allow you to... - Source: dev.to / over 5 years ago
Because you care and because you always want to be better, automation is a great way to optimize your review workflow process. Go ahead and do a quick search on Google for automated code reviews and see who better fits your workflow. You'll find Codacy on your Google search and we hope you like what we do. - Source: dev.to / over 5 years ago
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
CodeRabbit - Unleash AI on Your Code Reviews with CodeRabbit
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
CodeReviewBot AI - CodeReviewBot.ai offers an AI-powered code review service integrating seamlessly with GitHub pull requests, improving coding efficiency.
CodeFactor.io - Automated Code Review for GitHub & BitBucket
GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.