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Checkmarx One vs PyCharm comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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

Checkmarx One
Ranking in Static Code Analysis
2nd
Average Rating
7.8
Reviews Sentiment
6.6
Number of Reviews
81
Ranking in other categories
Application Security Tools (2nd), Static Application Security Testing (SAST) (2nd), Vulnerability Management (16th), Container Security (15th), API Security (4th), Dynamic Application Security Testing (DAST) (2nd), DevSecOps (2nd), Risk-Based Vulnerability Management (10th), Application Security Posture Management (ASPM) (3rd), AI Security (1st)
PyCharm
Ranking in Static Code Analysis
5th
Average Rating
8.6
Reviews Sentiment
6.4
Number of Reviews
15
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Static Code Analysis category, the mindshare of Checkmarx One is 9.6%, down from 18.5% compared to the previous year. The mindshare of PyCharm is 2.3%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Static Code Analysis Mindshare Distribution
ProductMindshare (%)
Checkmarx One9.6%
PyCharm2.3%
Other88.1%
Static Code Analysis
 

Featured Reviews

Shahzad Shahzad - PeerSpot reviewer
Senior Solution Architect | L3+ Systems & Cloud Engineer | SRE Specialist at Canada Cloud Solution
Enable secure development workflows while identifying opportunities for faster scans and improved AI guidance
Checkmarx One is a very strong platform, but there are several areas where it can improve to support modern DevSecOps workflows even better. For example, better real-time developer guidance is needed. The IDE plugin should offer richer AI-powered auto-fixes similar to SNYK Code or GitHub Copilot Security, as current guidance is good but not deeply contextual for large-scale enterprise codebases. This matters because it reduces developer friction and accelerates shift-left adoption. More transparency control over the correlation engines is another need. The correlation engine is powerful but not fully transparent. Users want to understand why vulnerabilities were correlated or de-prioritized, which helps AppSec teams trust the prioritization logic. Faster SAST scan and more language coverage is needed since SAST scan can still be slow for very large mono-repos and there is limited deep support for new language frameworks like Rust and Go, along with advanced coverage for serverless-specific frameworks. This matters because large organizations want sub-minute scans in CI/CD as cloud-native ecosystems evolve fast. A strong API security module is another area for enhancement. API security scanning could be improved with active testing, API discovery, full Swagger, OpenAPI, drift detection, and schema-based fuzzing. This is important as API attacks are one of the biggest AppSec risks in 2025. Checkmarx One is strong, but I see a few areas for improvement including faster SAST scanning for large mono-repos, deeper language framework support, more transparent correlation logic, and stronger API security that includes discovery and runtime context. The IDE plugin could offer more AI-assisted fixes, and the SBOM lifecycle tracking can evolve further. Enhancing integration with SIEM and SOAR would also make enterprise adoption smoother, and these improvements would help developers and AppSec teams move faster with more accuracy.
Sahil Sanskar Jha - PeerSpot reviewer
Assistant Manager at a tech vendor with 10,001+ employees
Advanced machine learning workflows have become faster but still need better memory efficiency
In PyCharm, I find several components and libraries to be the most valuable. The support that Jupyter Notebook offers is essential, as we work through Jupyter regularly. Scientific libraries such as NumPy, Pandas, Matplotlib, and Plotly are integral to our work. Machine learning libraries including scikit-learn, PyTorch, and TensorFlow are used extensively. Hugging Face integration is particularly valuable because it is easily findable, the documentation is comprehensive, and it can be directly integrated with the IDEs we work with. The intelligent code editor in PyCharm definitely helps me manage code quality and efficiency in my projects. When using these libraries, it makes parallelization of data very efficient, allowing me to use multi-thread programming architecture. The code can work for multiple datasets rather than one at a time. With native Python code, a machine learning deployment taking 45 to 50 minutes to calculate can be efficiently reduced to a minute or half a second using these libraries.

Quotes from Members

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

Pros

"It can integrate very well with DAST solutions. So both of them are combined into an integrated solution for customers running application security."
"Checkmarx One has positively impacted our organization as we tend to find vulnerabilities very early in the development cycle."
"The solution overall is very good at detecting and pinpointing vulnerabilities in the code."
"Even if there are multiple vulnerabilities in the source coding, Checkmarx is able to identify which lines need to be corrected and then proceeds to automatically remediate the situation."
"Overall, the ability to find vulnerabilities in the code is better than the tool that we were using before."
"The ability to track the vulnerabilities inside the code (origin and destination of weak variables or functions)."
"It gives the proper code flow of vulnerabilities and the number of occurrences."
"The tool's valuable features include integrating GPT and Copilot. Additionally, the UI web representation is very user-friendly, making navigation easy. GPT has made several improvements to my security code."
"The latest AI features and tab completion features are good."
"PyCharm is saving me time and money in general."
"PyCharm has an excellent user experience, and I appreciate its cross-platform capabilities."
"The automated package installation is helpful. I like the code highlighting features. A huge library of plugins is available, including AI coding tools, though I don't use those myself. The debugging tools are good, showing errors and problem lines."
"The recent AI-powered code completion is pretty cool."
"With native Python code, a machine learning deployment taking 45 to 50 minutes to calculate can be efficiently reduced to a minute or half a second using these libraries."
"The product's IDE feature is quite user-friendly."
"It is an excellent, fully integrated IDE with smart code analysis capability and a built-in debugger. It is a fantastic tool."
 

Cons

"Checkmarx has a slightly difficult compilation with the CI/CD pipeline."
"The purchase of this solution was a mistake. I would advise others to deploy the solution and to test all of the functionality before buying and do not trust the marketing from Checkmarx."
"The interactive application security testing, or IAST, where code scans are being ran on an application that lives in a runtime environment on a server or virtual machine, needs improvement."
"Checkmarx being Windows only is a hindrance. Another problem is: why can't I choose PostgreSQL?"
"I would like to see the rate of false positives reduced."
"The pricing can get a bit expensive, depending on the company's size."
"This product requires you to create your own rulesets. You have to do a lot of customization."
"Checkmarx could improve by reducing the price."
"There is room for improvement in memory usage. It uses too much memory. It can get a bit heavy, especially when you have too many open files and the system becomes very slow."
"Notebooks in PyCharm is not as intuitive as it could be."
"They should improve the product's interactiveness."
"The navigation can be better."
"There should be support for the RUST plugin in the Community edition for debugging."
"There should be support for the RUST plugin in the Community edition for debugging."
"A potential area of improvement in PyCharm at this point would be memory efficiency."
"The refactor facility in PyCharm is not on par with the refactor facility in IntelliJ. It could be improved since IntelliJ offers many more options for refactoring."
 

Pricing and Cost Advice

"The price of Checkmarx could be reduced to match their competitors, it is expensive."
"The pricing was not very good. This is just a framework which shouldn’t cost so much."
"Its price is fair. It is in or around the right spot. Ultimately, if the price is wrong, customers won't commit, but they do tend to commit. It is neither too cheap nor too expensive."
"We're using a commercial version of Checkmarx, and we paid for the solution for one year. The price is high and could be reduced."
"The tool's pricing is fine."
"For around 250 users or committers, the cost is approximately $500,000."
"We got a special offer for a 30% reduction for three years, after our first year. I think for a real source-code scanning tool, you have to add a lot of money for Open Source Analysis, and AppSec Coach (160 Euro per user per year)."
"I would rate the solution’s pricing an eight out of ten. The tool’s pricing is higher than others and it is for the license alone."
"I use the free community version, so I'm saving money there."
"The community edition is free, which is good."
"They have a free Community edition, and they also have a licensed version. They definitely have an annual license. They probably also have a monthly license. Its pricing is good and reasonable. It is a little bit more expensive than the others, but it is well worth it. I would rate it a four out of five in terms of pricing."
"The price is reasonable."
"I don't have much info on the pricing, but I would say it is somewhat competitive."
"The community edition is free and the professional edition has a licensing fee."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
8%
Computer Software Company
8%
Government
5%
Performing Arts
13%
Marketing Services Firm
12%
University
12%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise9
Large Enterprise46
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise1
Large Enterprise6
 

Questions from the Community

What alternatives are there for Fortify WebInspect and Fortify SCA?
I would like to recommend Checkmarx. With Checkmarx, you are able to have an all in one solution for SAST and SCA as well. Veracode is only a cloud solution. Hope this helps.
What is the biggest difference between Veracode and Checkmarx?
According to my experience of using both the tools in different organizations Veracode is a Cloud-native, managed AppSec platform with strong focus on ease of use, it is SaaS delivery, and provide...
What is your experience regarding pricing and costs for Checkmarx?
Checkmarx One is a premium solution, so budget accordingly. Make sure you understand how licensing scales with additional applications and users. I advise negotiating multi-year contracts or bundle...
What needs improvement with PyCharm?
A potential area of improvement in PyCharm at this point would be memory efficiency. PyCharm is based on its IntelliJ platform, which is Java-based, meaning it can be very memory-intensive, especia...
What is your primary use case for PyCharm?
My main use case for PyCharm is for machine learning operations.
What advice do you have for others considering PyCharm?
I use PyCharm's debugging tools on a case-by-case basis. The libraries are generally documented well enough that in most cases when I am debugging, half of the errors are found by the IDE initially...
 

Overview

 

Sample Customers

YIT, Salesforce, Coca-Cola, SAP, U.S. Army, Liveperson, Playtech Case Study: Liveperson Implements Innovative Secure SDLC
Information Not Available
Find out what your peers are saying about Checkmarx One vs. PyCharm and other solutions. Updated: April 2026.
895,990 professionals have used our research since 2012.