Checkmarx One vs PyCharm comparison

Checkmarx and JetBrains are both solutions in the Static Code Analysis category. Checkmarx is ranked #2 with an average rating of 8.1, while JetBrains is ranked #5 with an average rating of 8.6. Checkmarx holds a 9.6% mindshare in SCAS, compared to JetBrains’s 2.3% mindshare. Additionally, 88% of Checkmarx users are willing to recommend the solution, compared to 100% of JetBrains users who would recommend it.

Checkmarx One

Read 81 Checkmarx One reviews

22,245 Views
2,225 Comparison Views

88% willing to recommend

PyCharm

Read 15 PyCharm reviews

1,160 Views
1,160 Comparison Views

100% willing to recommend

Checkmarx One

PyCharm

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Checkmarx One and PyCharm compete in the software development tools category, with Checkmarx focusing on security and PyCharm serving as an IDE. PyCharm may have the upper hand due to its versatility as an IDE with various coding efficiency features.

Features: Checkmarx One offers comprehensive code scanning capabilities, identifies security vulnerabilities without code compilation, and supports numerous programming languages. PyCharm features smart code analysis, built-in debugging capabilities, and seamless GitHub integration, enhancing coding efficiency.

Room for Improvement: Checkmarx One could improve by reducing false positives, expanding language integration, and offering more flexible licensing models. PyCharm could enhance memory efficiency, further extend language support, and simplify its Python Notebook integration interface.

Ease of Deployment and Customer Service: Checkmarx One supports private, public, and hybrid cloud deployments alongside on-premises setups, with customer service rated 8/10. PyCharm offers on-premises and public cloud deployment options, also enjoying a reputation for efficient customer service.

Pricing and ROI: Checkmarx One’s pricing is perceived as high but justified by its effective security capabilities, though its licensing models are seen as complex. PyCharm offers a free Community edition and a reasonably priced Professional version, highlighting its cost-effectiveness with a free tier and flexible paid options.

To learn more, read our detailed Checkmarx One vs. PyCharm Report (Updated: April 2026).

Buyer's Guide

Checkmarx One vs. PyCharm

April 2026

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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

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

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
Product	Mindshare (%)
Checkmarx One	9.6%
PyCharm	2.3%
Other	88.1%

Static Code Analysis

Featured Reviews

Shahzad Shahzad

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.

Read full review

Sahil Sanskar Jha

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.

Read full review

Quotes from Members

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

Pros

"The most valuable feature is that it actually identifies the different criteria you can set to meet whatever standards you're trying to get your system accredited for."

"The UI is user-friendly."

"Initial setup couldn't be any easier; Checkmarx has good documentation on environment requirements, and as long as you meet those, the installation process takes maybe 30 minutes for an initial setup, perhaps a bit longer if you're adding multiple engines."

"Scan reviews can occur during the development lifecycle."

"The solution has good performance, it is able to compute in 10 to 15 minutes."

"The solution overall is very good at detecting and pinpointing vulnerabilities in the code."

"It moved our organization towards being agile vs. waterfall."

"It provides a graphical view of any vulnerabilities."

More Checkmarx One pros

"The solution has a great debugging feature."

"The recent AI-powered code completion is pretty cool."

"It is an excellent, fully integrated IDE with smart code analysis capability and a built-in debugger."

"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."

"PyCharm is saving me time and money in general."

"The solution provides a good comprehensive debugging feature that I like and which is easy to use."

"We have integrated the tool with GitHub. PyCharm provides easy integration with GitHub, allowing us to push changes directly. Many plugins are available on PyCharm for GitHub integration, including GitHub Copilot for auto code completion and GitHub Copilot Chat for assistance with code-related queries."

"The solution has a nice environment and extensions that make it easy to develop software."

More PyCharm pros

Cons

"When we first ran it on a big project, there wasn't enough memory on the computer. It originally ran with eight gigabytes, and now it runs with 32. The software stopped at some point, and while I don't think it said it ran out of memory, it just said "stopped" and something else. We had to go to the logs and send them to the integrator, and eventually, they found a memory issue in the logs and recommended increasing the memory. We doubled it once, and it didn't seem enough. We doubled it again, and it helped."

"The validation process needs to be sped up."

"C, C++, VB and T-SQL are not supported by this product. Although, C and C++ were advertised as being supported."

"In terms of dashboarding, the solution could provide a little more flexibility in terms of creating more dashboards. It has some of its own dashboards that come out of the box. However, if I have to implement my own dashboards that are aligned to my organization's requirements, that dashboarding feature has limited capability right now."

"We are trying to find out if there is a way to identify the run-time null values. I am analyzing different tools to check if there is any tool that supports run-time null value identification, but I don't think any of the tools in the market currently supports this feature. It would be helpful if Checkmarx can identify and throw an exception for a null value at the run time. It would make things a lot easier if there is a way for Checkmarx to identify nullable fields or hard-coded values in the code. The accessibility for customized Checkmarx rules is currently limited and should be improved. In addition, it would be great if Checkmarx can do static code and dynamic code validation. It does a lot of security-related scanning, and it should also do static code and dynamic code validation. Currently, for security-related validation, we are using Checkmarx, and for static code and dynamic code validation, we are using some other tools. We are spending money on different tools. We can pay a little extra money and use Checkmarx for everything."

"The lack of ability to review compiled source code. It would then be able to compete with other scanning tools, such as Veracode."

"The integration could improve by including, for example, DevSecOps."

"Checkmarx One can be improved by reducing noise and improving false positive filtering."

More Checkmarx One cons

"A potential area of improvement in PyCharm at this point would be memory efficiency."

"The solution is heavy because running it on laptops consumes a lot of memory and power. Typically, a laptop battery might last about eight to nine hours, but with the tool running, it reduces to two hours or one and a half hours at most. It is designed to handle large projects and heavy tasks, making it resource-intensive. For smaller projects, use IDEs like Visual Studio Code."

"One issue with JetBrains tools, including PyCharm, is their heavy resource usage. They can be slow to start, especially when beginning a new project, as it takes some time to index."

"The solution does not support some features of OpenCV even though it is part of a PyCharm package."

"They should improve the product's interactiveness."

"There should be support for the RUST plugin in the Community edition for debugging."

"Notebooks in PyCharm is not as intuitive as it could be."

"They give some functionality to use Python Notebook, but it's not great."

More PyCharm cons

Pricing and Cost Advice

"It's relatively expensive."

"The average deal size was usually anywhere between $120K to $175K on an annual basis, which could be divided across 12 months."

"The license has a vague language around P1 issues and the associated support. Make sure to review these in order to align them with your organizational policies."

"Checkmarx is not a cheap scanning tool, but none of the security tools are cheap. Checkmarx is a powerful scanning tool, and it’s essential to have one of these products."

"Most of my customers opted for a perpetual license. They prefer to pay the highest amount up front for the perpetual license and then pay for additional support annually."

"For around 250 users or committers, the cost is approximately $500,000."

"We have purchased an annual license to use this solution. The price is reasonable."

"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."

More Checkmarx One pricing and cost advice

"The community edition is free, which is good."

"I use the free community version, so I'm saving money there."

"The price is reasonable."

"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."

"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

Computer Software Company

Government

Performing Arts

13%

Marketing Services Firm

12%

University

12%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	32
Midsize Enterprise	9
Large Enterprise	46

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	6

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.

See all answers

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...

See all answers

What needs improvement with Checkmarx?

One way Checkmarx One could be improved is if it could automatically run scans every month after implementation. If it is possible to set it in the SAST portal to scan the repositories automaticall...

See all answers

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...

See all answers

What is your primary use case for PyCharm?

My main use case for PyCharm is for machine learning operations.

See all answers

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...

See all answers

Comparisons

SonarQube vs Checkmarx One

Compared 37% of the time

Veracode vs Checkmarx One

Compared 3% of the time

Checkmarx SAST vs Checkmarx One

Compared 2% of the time

OpenText Core Application Security vs Checkmarx One

Compared 2% of the time

Fortify Software Security Center vs Checkmarx One

Compared 2% of the time

More Checkmarx One Competitors

OpenText Static Application Security Testing vs PyCharm

Compared 35% of the time

Veracode vs PyCharm

Compared 26% of the time

Mend.io vs PyCharm

Compared 23% of the time

More PyCharm Competitors

Product Reports

Buyer's Guide

Checkmarx One

May 2026

Download Checkmarx One product report

Buyer's Guide

PyCharm

April 2026

Download PyCharm product report

Overview

Checkmarx One delivers robust security through seamless integration with SCM and CI/CD tools, ensuring reliable SAST and SCA. Primarily used by organizations for vulnerability detection, it supports cloud and on-premises deployment to enhance secure coding practices.

Checkmarx One provides organizations with comprehensive tools for secure software development, integrating effectively with CI/CD pipelines to scan thousands of applications. Its capabilities extend to identifying vulnerabilities in both code bases and third-party software. Enhancing workflow by supporting SCM solutions, it assists in maintaining secure coding standards and compliance. While excelling in various areas, it requires improvements in scan speed, reduction of false positives, and broader platform integration, particularly for COBOL and Swift. Its pricing model is noted as high, and demand exists for better tutorials and documentation.

What are the key features of Checkmarx One?

Comprehensive Integration: Seamlessly connects with SCM, CI/CD tools to streamline security workflows.
Accurate SAST and SCA: Precisely identifies vulnerabilities down to the exact line of code.
Custom Rules Configuration: Allows tailored security measures to match specific needs.
Quick Scanning: Provides fast analysis to speed up the development process.
Automated Code Remediation: Helps in efficiently fixing code vulnerabilities.

What benefits should users expect in reviews?

Improved Security: Enhances code safety, reducing vulnerabilities efficiently.
Effective False Positivity Management: Optimizes time spent on genuine issues.
Enhanced Development Processes: Integrates smoothly to boost secure coding initiatives.
Comprehensive Language Support: Facilitates scanning in multiple programming languages, accommodating diverse needs.

Industries implement Checkmarx One for secure coding compliance and vulnerability management across varying environments, choosing between cloud and on-premises deployment based on requirements. Its extensive language support and integration with DevSecOps practices make it a popular choice for organizations aiming to enhance software security.

Checkmarx

PyCharm is a powerful IDE designed for Python development, offering intelligent code analysis, seamless GitHub integration, and extensive support for frameworks like Django and Flask. Ideal for both beginners and professionals, it enhances coding efficiency and supports complex programming tasks.

PyCharm provides an integrated development environment that supports robotics, scientific computing, and machine learning. It features a built-in debugger and powerful AI-driven code completion, facilitating rapid prototyping and debugging. While it excels in many areas, users note challenges regarding system resource consumption and memory efficiency. Despite its pricing model, PyCharm remains a preferred choice for Python projects, thanks to its robust feature set and intuitive design.

What are PyCharm's key features?

Intelligent Code Analysis: Detects errors and suggests corrections in real-time.
Built-in Debugger: Offers a powerful tool for debugging complex code seamlessly.
Seamless GitHub Integration: Simplifies version control and collaboration.
Robust AI Features: Enhances productivity with AI-driven code completion.
Extensive Plugin Support: Customizes the environment for specific needs.

What benefits should users look for in reviews?

Enhanced Productivity: Streamlines coding with features like context-aware code completion.
Support for Scientific Libraries: Provides efficiency in projects involving data processing and machine learning.
Integration Capabilities: Works well with tools like Grafana, Coverity, and Pylint.

In scientific fields, PyCharm aids data scientists and engineers with machine learning and algorithm optimization. Its support for Python frameworks and integration with other tools make it suitable for projects in robotics and data processing. Users often pair it with Visual Studio for tasks outside Python development.

JetBrains

Sample Customers

YIT, Salesforce, Coca-Cola, SAP, U.S. Army, Liveperson, Playtech Case Study: Liveperson Implements Innovative Secure SDLC

Information Not Available

Buyer's Guide

Checkmarx One vs. PyCharm

April 2026

Free Report: Checkmarx One vs. PyCharm

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