Scam Message Analyzer
Scam Spotter by Google
Scam AI
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ZeroScam
StopScam.ai
ScamCheck
Norton Genie
Codacy
SonarQube
CodeClimate
CodeFactor.io
ESLint
Coveralls
SensioLabs Insight
codebeat
Check Suspicious Messages Online Analyze suspicious texts, emails, and messages instantly. Your content stays in your browser. - Free To Use - No Message Storage - No Data Collected
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.
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Scam Message Analyzer's answer
The story behind it comes from the rise of scam messages targeting ordinary people, many people around me especially elderly, got so many scam texts, that inspiring the creation of a trustworthy, easyโtoโuse tool to improve online safety.
Scam Message Analyzer's answer
Scam Message Analyzer's answer
Scam Message Analyzer's answer
Scam Message Analyzer's answer
Everyday consumers checking scam texts
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
Scam Spotter by Google - With Google's help, we are spotting the most common patterns used by scammers and offering practical advice to help you stop them in their tracks.
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.
Scam AI - Spot scams before they spot you
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.
scam - The SoundCloud account manager
CodeFactor.io - Automated Code Review for GitHub & BitBucket