Codacy
SonarQube
CodeClimate
CodeFactor.io
ESLint
Coveralls
SensioLabs Insight
codebeat
ZeroScam
Scam Spotter by Google
Norton Genie
Scam AI
scam
Scam Message Analyzer
StopScam.ai
No Scam
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.
ZeroScam is a simple tool that helps people check suspicious messages before they click, reply, or send money.
Paste a text message, email, link, or screenshot and ZeroScam analyzes it instantly for common scam patterns such as impersonation, fake invoices, romance scams, investment fraud, and phishing attempts.
Instead of relying only on blacklists or known malicious domains, ZeroScam analyzes the structure and persuasion patterns commonly used in scams โ including urgency signals, impersonation cues, and suspicious links.
The goal is not only to flag potential scams but also to explain why a message may be suspicious. This helps users learn to recognize scams over time and avoid future fraud attempts.
ZeroScam is designed for everyday situations: - strange text messages - unexpected payment requests - suspicious emails - unfamiliar links - screenshots of messages received on messaging apps
Privacy is a core design principle. No account is required, messages are not stored.
Whether you are verifying a strange text message, checking a suspicious email, or helping a family member avoid scams, ZeroScam provides a fast and simple way to double-check before taking action.
Codacy ZeroScamZeroScam's answer:
Most scam detection tools rely on URL blacklists or known malicious domains. ZeroScam analyzes the persuasion patterns within the message itself โ urgency signals, impersonation cues, and authority mimicry โ the tactics scammers use regardless of domain or sender.
It also explains why a message looks suspicious, helping users learn to recognize scams over time.
No account required and messages arenโt stored.
ZeroScam's answer:
ZeroScam is simple, private, and works with any message โ no account, no installation, and no message retention.
Instead of relying on threat databases or infrastructure signals, ZeroScam looks at the message itself and explains what might make it suspicious.
The goal isnโt just detection, but helping people understand how scams work so they can recognize them more easily next time.
ZeroScam's answer:
ZeroScam started after my own parents nearly fell for a scam. The message looked completely legitimate โ correct language, personal details, even their bankโs logo. AI had made it convincing enough that they almost clicked.
That moment made something clear: modern scams no longer look suspicious. The warning signs people used to rely on are disappearing.
ZeroScam was built as a simple way to double-check suspicious messages before clicking, replying, or sending money โ especially for the people we care about most.
ZeroScam's answer:
ZeroScam is designed for everyday users who want a quick way to verify suspicious messages.
This includes people receiving unexpected texts or emails, families helping older relatives stay safe online, and small businesses that want to double-check unusual requests.
Anyone who has ever wondered โIs this message a scam?โ is part of the audience.
ZeroScam's answer:
ZeroScam is built using modern web technologies and a custom message analysis engine designed to identify common scam patterns while maintaining strict privacy principles.
ZeroScam's answer:
ZeroScam is currently used by individual users and early adopters.
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.
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.
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.
Norton Genie - Genie is an industry leading AI-powered scam detection tool that will scan and review text messages, emails, websites, and social posts trying to trick you.
CodeFactor.io - Automated Code Review for GitHub & BitBucket
Scam AI - Spot scams before they spot you