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Coverity Static vs GitHub Code Scanning comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 21, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Coverity Static
Ranking in Static Application Security Testing (SAST)
6th
Average Rating
7.8
Reviews Sentiment
6.5
Number of Reviews
43
Ranking in other categories
No ranking in other categories
GitHub Code Scanning
Ranking in Static Application Security Testing (SAST)
14th
Average Rating
8.6
Reviews Sentiment
6.7
Number of Reviews
6
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Static Application Security Testing (SAST) category, the mindshare of Coverity Static is 4.2%, down from 7.9% compared to the previous year. The mindshare of GitHub Code Scanning is 1.6%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Static Application Security Testing (SAST) Market Share Distribution
ProductMarket Share (%)
Coverity Static4.2%
GitHub Code Scanning1.6%
Other94.2%
Static Application Security Testing (SAST)
 

Featured Reviews

KT
Software Engineering Manager at Visteon Corporation
Using tools for compliance is beneficial but cost concerns persist
We have been using Coverity for quite a long period. It has been fine for our needs. I would rate Coverity between eight to nine, though the cost is high. I would rate their support from Coverity as six. That is the main complaint, but we still appreciate having it.
AK
Software Development Manager at Amazon
Code scanning identifies vulnerabilities quickly and improves team response with minimal setup
I have been using Git for approximately 13-14 years. I have used GitHub Code Scanning for about three to four years. The primary purpose is to identify any vulnerability in the code itself. The system logs vulnerabilities that we can immediately examine to see all the error-prone areas. The AI functionalities include predefined agents that scan through and immediately provide responses regarding the best nomenclature or code coverage percentage. It's actually a one-time setup, and the team benefits as long as they push code and changes in the repository itself. Every time we push something, we immediately check the total deviation, whether our code coverage has improved, or if any vulnerability has been identified. There is always a metrics dashboard that we can see and identify. Primarily, GitHub is used for doing the versioning itself in the repository. With vulnerability functionality being provided and AI agents available, it makes a complete package. As soon as we publish our code, we immediately get to know the test code coverage. This immediately informs us about all the vulnerable areas which are not being fully tested. If we address those areas, most vulnerabilities are resolved. Even after tests are added, if by any chance the test is not treated cleanly or corner cases are missed, GitHub Code Scanning immediately flags those corners. It's always beneficial to have because it's not humanly possible to check all corner case scenarios, but as a system where they diagnose each line item, that's very helpful.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The product is easy to use."
"The most valuable feature of Coverity is its interprocedural analysis, which is advantageous because it compares favorably with other tools in terms of security and code analysis."
"Considering the analysis part and the benchmarking process involving the product that my company carried out, the solution is good for finding bugs and violations"
"The product has been beneficial in logging functionality, allowing me to categorize vulnerabilities based on severity. This aids in providing updated reports on subsequent scans."
"The reporting feature is up to the mark."
"What I find most effective about Coverity is its low rate of false positives. I've seen other platforms with many false positives, but with Coverity, most vulnerabilities it identifies are genuine. This allows me to focus on real issues."
"Coverity gives advisory and deviation features, which are some of the parts I liked."
"The most valuable feature is that there were not a whole lot of false positives, at least on the codebases that I looked at."
"It's very scalable, very easy to handle, and very intuitive."
"GitHub Code Spaces brings significant value with its simplicity and ease of use."
"We use GitHub Code Scanning mostly for source code management."
"The static code analysis capability in GitHub Code Scanning is a very powerful feature, providing the ability to identify vulnerabilities and ensure code quality."
"GitHub Code Scanning has positively impacted my organization as it helps us recognize errors and avoid many later issues which may arise."
"The solution helps identify vulnerabilities by understanding how ports communicate with applications running on a system. Ports are like house numbers; to visit someone's house, you must know their number. Similarly, ports are used to communicate with applications. For example, if you want to use an HTTP web server, you must use port 80. It is the port on which the web application or your server listens for incoming requests."
 

Cons

"We'd like it to be faster."
"There is an extra step in my organization that involves uploading to servers, which adds overhead."
"I would like to see integration with popular IDEs, such as Eclipse."
"The solution could use more rules."
"The solution is a bit complex to use in comparison to other products that have many plugins."
"Reporting engine needs to be more robust."
"Sometimes, vulnerabilities remain unidentified even after setting up the rules."
"Some features are not performing well, like duplicate detection and switch case situations."
"At times it becomes very annoying as it highlights certain things which are intuitive. They require code coverage for those aspects as an extra overhead."
"GitHub Code Scanning should add more templates."
"When running code scans, GitHub Code Scanning provides recommendations for probable fixes. However, integrating a feature where developers receive real-time highlights of vulnerabilities when checking in or merging a PR would be beneficial."
"One area for improvement could be the ability to have an AI system digest the reports generated from code scanning and provide a summary. Currently, the reports can be extensive, and users may overlook details, such as outdated libraries, which could be highlighted for attention."
 

Pricing and Cost Advice

"Coverity is quite expensive."
"The pricing is very reasonable compared to other platforms. It is based on a three year license."
"Offers varying prices for different companies"
"Depending on the usage types, one has to opt for different types of licenses from Coverity, especially to be able to use areas like report viewing or report generation."
"It is expensive."
"The solution is affordable."
"I would rate Coverity's pricing as a nine out of ten. It's already very expensive, and it's a problem for us to get more licenses due to the price. The pricing model has some good aspects - for example, a personal license gives access to all languages without code limitations, which is better than some competitors. However, it's still a lot of money for us to spend."
"I rate Coverity's price a ten on a scale of one to ten, where one is cheap and ten is expensive."
"GitHub Code Scanning is a moderately priced solution."
"The minimum pricing for the tool is five dollars a month."
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Top Industries

By visitors reading reviews
Manufacturing Company
32%
Computer Software Company
11%
Financial Services Firm
7%
Healthcare Company
4%
Computer Software Company
11%
Financial Services Firm
10%
Manufacturing Company
8%
Transportation Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise6
Large Enterprise31
No data available
 

Questions from the Community

How would you decide between Coverity and Sonarqube?
We researched Coverity, but in the end, we chose SonarQube. SonarQube is a tool for reviewing code quality and security. It helps to guide our development teams during code reviews by providing rem...
What do you like most about Coverity?
The solution has improved our code quality and security very well.
What is your experience regarding pricing and costs for GitHub Code Scanning?
The organization pays for the license of GitHub Code Scanning, but specific price details are unknown.
What needs improvement with GitHub Code Scanning?
In my opinion, areas of GitHub Code Scanning that could be improved include that a few things are not visible to us, such as where it stores data and which path. There is a separate team for that w...
What advice do you have for others considering GitHub Code Scanning?
I am an end user only here with GitHub Code Scanning. I currently might be using the latest version of GitHub Code Scanning, but I don't remember the specific version. I have not utilized the real-...
 

Also Known As

Synopsys Static Analysis
No data available
 

Overview

 

Sample Customers

SAP, Mega International, Thales Alenia Space
Information Not Available
Find out what your peers are saying about Coverity Static vs. GitHub Code Scanning and other solutions. Updated: February 2026.
881,707 professionals have used our research since 2012.