OpenText Static Application Security Testing vs PyCharm comparison

OpenText Static Application Security Testing vs. PyCharm

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Helped 893,164 peers since 2012

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

OpenText Static Application...

Ranking in Static Code Analysis

4th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

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 OpenText Static Application Security Testing is 5.5%, down from 12.0% 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 (%)
OpenText Static Application Security Testing	5.5%
PyCharm	2.3%
Other	92.2%

Static Code Analysis

Featured Reviews

Dristi Kurre

Lead Information Security Analyst at a financial services firm with 10,001+ employees

Focuses on detailed scans to find critical vulnerabilities while ensuring minimal false positives

I think Fortify Static Code Analyzer could be improved by updating the number of rule packs according to the latest vulnerabilities we find each year. We have updated to a version that is one less than the current latest version. It would be really helpful to include trending vulnerabilities and how to manage them. While it includes all the OWASP top factors, AI has come into the picture, so those updates should also be considered. I haven't thought much about additional features for improvement since I am using it daily. Most of our work revolves around scanning and providing the results, which sometimes feels like a crunch. However, I believe rule pack updates should be implemented. It feels easy to upgrade to the latest version as well.

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

"Fortify Static Code Analyzer's most valuable features are its ability to provide best practices for fixing code and its examples and capabilities to address security problems in the code. It effectively identifies security vulnerabilities by analyzing the code and offering insights on improving it."

"The most valuable features include its ability to detect vulnerabilities accurately and its integration with our CI/CD pipeline."

"Its flexibility is most valuable; it is such a flexible tool that can be implemented in a number of ways, can do anything you want it to do, can be fully automated within a DevOps pipeline, and can also be used in an ad hoc, special test case scenario and anywhere in between."

"Integrating the Fortify Static Code Analyzer into our software development lifecycle was straightforward. It highlights important information beyond just syntax errors. It identifies issues like password credentials and access keys embedded in the code."

"My initial setup of Fortify Static Code Analyzer was good."

"Fortify integrates with various development environments and tools, such as IDEs (Integrated Development Environments) and CI/CD pipelines."

"Fortify Static Code Analyzer tells us if there are any security leaks or not, and if there are, then it's notifying us and does not allow us to pass the DevOps pipeline, but if it finds everything is perfect as per our given guidelines, then it allows us to go ahead and start it, and we are able to deploy it."

"I like the Fortify taxonomy as it provides us with a list of all of the vulnerabilities found, and Fortify releases updated rule packs quarterly, with accompanying documentation, that lets us know what new features are being released."

More OpenText Static Application Security Testing pros

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

"The latest AI features and tab completion features are good."

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

"The best feature of PyCharm is that it gives you hints whenever it detects any issues while you are coding. This is important because it helps us code faster and without any errors."

"Good syntax highlighting and very it's very customizable."

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

"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."

"PyCharm has an excellent user experience, and I appreciate its cross-platform capabilities."

More PyCharm pros

Cons

"The generation of false positives should be reduced."

"The price can be improved."

"I know the areas that they are trying to improve on. They've been getting feedback for several years. There are two main points. The first thing is keeping current with static code languages. I know it is difficult because code languages pop up all the time or there are new variants, but it is something that Fortify needs to put a better focus on. They need to keep current with their language support. The second thing is a philosophical issue, and I don't know if they'll ever change it. They've done a decent job of putting tools in place to mitigate things, but static code analysis is inherently noisy. If you just take a tool out of the box and run a scan, you're going to get a lot of results back, and not all of those results are interesting or important, which is different for every organization. Currently, we get four to five errors on the side of tagging, and it notifies you of every tiny inconsistency. If the tool sees something that it doesn't know, it flags, which becomes work that has to be done afterward. Clients don't typically like it. There has got to be a way of prioritizing. There are a ton of filter options within Fortify, but the problem is that you've got to go through the crazy noisy scan once before you know which filters you need to put in place to get to the interesting stuff. I keep hearing from their product team that they're working on a way to do container or docker scanning. That's a huge market mover. A lot of people are interested in that right now, and it is relevant. That is definitely something that I'd love to see in the next version or two."

"I have not seen a return on investment with Fortify Static Code Analyzer."

"Streamlining the upgrade process and enhancing compatibility would make it easier for us to keep our security tools up-to-date."

"The deployment of Fortify Static Code Analyzer needs to be simplified."

"Fortify Static Code Analyzer has a bit of a learning curve, and I don't find it particularly helpful in narrowing down the vulnerabilities we should prioritize."

"I'm not sure if Fortify Static Code Analyzer has AI capabilities. Currently, this solution doesn't quite have what we need."

More OpenText Static Application Security Testing cons

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

"They should improve the product's interactiveness."

"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."

"The navigation can be better."

"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."

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

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

"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."

More PyCharm cons

Pricing and Cost Advice

"The price of Fortify Static Code Analyzer could be reduced."

"The setup costs and pricing for Fortify may vary depending on the organization's needs and requirements."

"It has a couple of license models. The one that we use most frequently is called their flexible deployment. We use this one because it is flexible and based on the number of code-contributing developers in the organization. It includes almost everything in the Fortify suite for one developer price. It gives access to not just the secure code analyzer (SCA) but also to FSC, the secure code. It gives us accessibility to scan central, which is the decentralized scanning farm. It also gives us access to the software security center, which is the vulnerability management platform."

"Although I am not responsible for the budget, Fortify SAST is expensive."

"The licensing is expensive and is in the 50K range."

"There is a licensing fee, and if you bring them to the company and you want them to do the installation and the implementation in the beginning, there is a separate cost. Similarly, if you want consultation or training, there is a separate cost. I see it as suitable only for enterprises. I do not see it suitable for a small business or individual use."

"From our standpoint, we are significantly better off with Fortify due to the favorable pricing we secured five years ago."

"I rate the pricing of Fortify Static Code Analyzer as a seven out of ten since it is a bit expensive."

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

"The price is reasonable."

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

"The community edition is free and the professional edition has a licensing fee."

"I don't have much info on the pricing, but I would say it is somewhat competitive."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

28%

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	4
Midsize Enterprise	3
Large Enterprise	11

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

Questions from the Community

What is your experience regarding pricing and costs for Fortify Static Code Analyzer?

My experience with the pricing, setup costs, and licensing has been good. We have the scan machines, and we are planning to request more from Micro Focus now. We have calls every month or every oth...

What needs improvement with Fortify Static Code Analyzer?

What is your primary use case for Fortify Static Code Analyzer?

Our main use cases for Fortify Static Code Analyzer typically involve trying to figure out the critical vulnerabilities. It depends on the type of scans that we are doing, whether it is a release s...

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...

Black Duck SCA vs OpenText Static Application Security Testing

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Compared 7% of the time

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Compared 27% of the time

Mend.io vs PyCharm

Compared 23% of the time

Checkmarx One vs PyCharm

Compared 15% of the time

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Product Reports

OpenText Static Application Security Testing

Download OpenText Static Application Security Testing product report

OpenText Static Application Security Testing report

PyCharm

Download PyCharm product report

Also Known As

Fortify Static Code Analysis SAST

No data available

Overview

OpenText Static Application Security Testing empowers teams with efficient vulnerability detection and streamlined secure coding practices, offering comprehensive language support and seamless integration with development tools.

OpenText Static Application Security Testing enhances software security during development by accurately identifying vulnerabilities with minimal false positives. It integrates seamlessly with IDEs and CI/CD pipelines, making it highly efficient for early detection of security issues. Users benefit from its easy setup, clear documentation, and centralized portal for managing security findings. Despite facing challenges like high costs and complex configurations for certain languages, its role in facilitating compliance and streamlining secure coding processes is indispensable. Improvements are needed in areas such as outdated design, language support, and integration capabilities to meet evolving user expectations.

What features does OpenText Static Application Security Testing offer?

Seamless IDE Integration: Integrates effortlessly with development environments for real-time feedback.
Comprehensive Language Support: Covers a wide range of programming languages, enhancing detection accuracy.
Centralized Security Portal: Provides a streamlined interface for managing vulnerabilities.

What benefits and ROI should users consider?

Enhanced Security: Identifies vulnerabilities early, preventing potential breaches.
Time Efficiency: Automates processes and speeds up remediation efforts.
Compliance Facilitation: Assists in adhering to security standards and regulations.

Organizations across diverse sectors implement OpenText Static Application Security Testing primarily to secure applications during development phases. Its integration with tools like GitLab, Jenkins, and Azure DevOps ensures a robust security pipeline. By combining with Sonatype Nexus, secure code, and library management is achieved effectively.

OpenText

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

OpenText Static Application Security Testing vs. PyCharm