
SonarQube
CodeClimate
CodeFactor.io
ESLint
Snyk
Coveralls
SensioLabs Insight
Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.

Coassemble
Trainn.co
Build courses by API, drop them into your product with one iframe, and get told who finished. No portal, no learner accounts, priced per course view.

Which is more popular?
Based on our record, Codacy seems to be more popular. It has been mentioned 4 times since March 2021.
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | codacy.com | underlayerhq.com |
| Pricing | ||
| Company | Startup from Portugal · 1 - 9 employees · 2012 | Startup from the United Arab Emirates · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


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....
Underlayer is headless, API-first training for SaaS products. Instead of sending your users to a separate LMS portal, you generate a course, embed it where they already work, and get every completion sent back to your own systems. How it works Create a course. Generate one from a doc or a prompt...
What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
Walkthroughs and reviews on video.
Using Codacy for automated code reviews
More videos
Underlayer demo
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Codacy and Underlayer.
Underlayer's answer:
it's pre-launching
Underlayer's answer:
Underlayer is training with no portal. You build a course by API, by MCP, or in the visual builder, and add it to your product with one iframe. Then signed webhooks tell your systems who finished. Learners never create an account or leave your app, and the player uses your theme, so it looks like part of your product. We charge per course view, not per seat, and every price and overage rate is published.
Underlayer's answer:
Most course tools, like Coassemble, Trainn and LearningStudioAI, assume training happens on their own site: learners sign up, log in and get enrolled, and you pay per seat. Underlayer takes the opposite approach:
No learner accounts. You pass in your own user IDs and we track progress against them. Built for developers. A full REST API covers every resource, and an MCP server lets AI agents create and edit courses. Results in your own tools. Signed webhooks send completions to your CRM, your product or your data warehouse. SCORM 1.2 and 2004 export for customers who still need to load courses into an LMS. Public pricing. Plans start at $149/month for 25,000 course views, with unlimited learners and no sales call required.
Underlayer's answer:
SaaS product, customer success and engineering teams who want onboarding, product education or compliance training inside their own app. It also suits platforms that train other people's users, like partner networks, marketplaces and field-ops tools, where a separate LMS login gets in the way.
Underlayer's answer:
Every company putting training in front of its users hit the same wall: the LMS wanted to own the learner. That meant a separate portal, a second login and a per-seat bill for people who never opened a course. We built Underlayer as the layer underneath instead. You keep the product and the user relationship. We handle building the course, playing it and tracking progress, and we stay out of the way.
Underlayer's answer:
Next.js 16 (App Router) with React 19 and TypeScript, Tailwind CSS v4, and Supabase (Postgres with row-level security, Auth and Storage). Claude from Anthropic generates courses with AI. Stripe handles billing and Resend sends email. There is also a remote MCP server with OAuth 2.1 for AI-agent access.
Share your experience with using Codacy and Underlayer. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Each of these tools offers unique advantages that make them compelling alternatives to SonarQube, depending on organizational goals, budgets, and technology stacks. Codeant.ai and Codacy provide user-friendly...
Codacy is a popular code analysis and quality tool that helps you deliver better software. It continuously reviews your code and monitors its quality from the beginning.
Secondly, while SonarQube offers security analysis, Codacy provides a more holistic approach to security, including features like supply chain security and secret detection out of the box. Added to this are Codacy’s...
We have no reviews of Underlayer yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


I'm trying to use Codacy to review my code. One of the issues is regarding the use of the "setcookie" function. Source: almost 5 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... - Source: dev.to / over 5 years ago
Tracking Underlayer since Sep 2026.
When comparing Codacy and Underlayer, you can also consider the following products.

SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
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Coassemble is an all-in-one, online training tool that connects people with the information they need – anytime, anyplace.
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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.
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Trainn is a Customer Education platform for SaaS companies of all sizes to onboard and train customers, at scale, using product training & how-to videos, feature walkthroughs, and a dedicated customer training Academy.
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Automated Code Review for GitHub & BitBucket
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