OpenText Static Application Security Testing vs PyCharm comparison

OpenText and JetBrains are both solutions in the Static Code Analysis category. OpenText is ranked #5 with an average rating of 7.5, while JetBrains is ranked #4 with an average rating of 8.6. OpenText holds a 5.0% mindshare in SCAS, compared to JetBrains’s 2.2% mindshare. Additionally, 89% of OpenText users are willing to recommend the solution, compared to 100% of JetBrains users who would recommend it.

OpenText Static Application...

Read 19 OpenText Static Application Security Testing reviews

4,284 Views
1,714 Comparison Views

89% willing to recommend

PyCharm

Read 15 PyCharm reviews

1,280 Views
1,280 Comparison Views

100% willing to recommend

OpenText Static Application...

PyCharm

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Mar 29, 2026

OpenText Static Application Security Testing and PyCharm compete in the software development and security domain. PyCharm appears to have an edge with its superior support for Python development and machine learning library integration.

Features: OpenText Static Application Security Testing excels in compliance and risk management, enhances usability with integration capabilities, and offers real-time security feedback. PyCharm supports extensive libraries for Python development, provides intelligent code editing, and integrates seamlessly with machine learning tools.

Room for Improvement: OpenText Static Application Security Testing should improve its false positive rate, expand language support, and simplify the integration process. PyCharm could benefit from reducing memory usage, improving startup speeds, and better integration with workflow products like GitLab.

Ease of Deployment and Customer Service: OpenText Static Application Security Testing is recognized for its proactive support with dedicated teams for critical issue resolution, though technical support access could be more efficient. PyCharm offers reliable support with many users relying on community resources for issue resolution.

Pricing and ROI: OpenText Static Application Security Testing is priced high but offers flexible licensing models, with organizations gaining ROI through early vulnerability detection. PyCharm presents a flexible pricing structure with a free community edition and affordable professional licenses, providing access to JetBrains IDEs, adding to its value proposition.

To learn more, read our detailed OpenText Static Application Security Testing vs. PyCharm Report (Updated: April 2026).

Buyer's Guide

OpenText Static Application Security Testing vs. PyCharm

April 2026

Download the complete report

Helped 900,644 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

5th

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

4th

Average Rating

8.6

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Static Code Analysis category, the mindshare of OpenText Static Application Security Testing is 5.0%, down from 11.6% compared to the previous year. The mindshare of PyCharm is 2.2%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Static Code Analysis Mindshare Distribution
Product	Mindshare (%)
PyCharm	2.2%
OpenText Static Application Security Testing	5.0%
Other	92.8%

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

"We are satisfied with this solution."

"The stability of the solution is pretty good. There are no bugs or glitches."

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

"I like Fortify Software Security Center or Fortify SSC. This tool is installed on each developer's machine, but Fortify Software Security Center combines everything. We can meet there as security professionals and developers. The developers scan their code and publish the results there. We can then look at them from a security perspective and see whether they fixed the issues. We can agree on whether something is a false positive and make decisions."

"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."

"We've found the documentation to be very good."

"I recommend this product due to its good pricing, extensive language support, valuable features, and additional features like Fortify Academy."

"Automating the Jenkins plugins and the build title is a big plus."

More OpenText Static Application Security Testing pros

"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."

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

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

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

"The solution has a great debugging feature."

"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."

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

More PyCharm pros

Cons

"The generation of false positives should be reduced."

"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."

"The price can be improved."

"The generation of false positives should be reduced."

"The troubleshooting capabilities of this solution could be improved. This would reduce the number of cases that users have to submit."

"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."

"Currently, we get four to five errors on the side of tagging, and it notifies you of every tiny inconsistency."

"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

"Customizing the tool can make it complicated."

"The user interface and overall user experience could be more intuitive to make it easier for users to navigate and utilize the software effectively."

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

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

"The breakpoints could be improved as they are not that intuitive to use."

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

"The navigation can be better."

"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

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

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

"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."

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

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

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

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

"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."

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

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

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

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

See which vendors are best for you

Use our free recommendation engine to learn which Static Code Analysis solutions are best for your needs.

See recommendations

900,644 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

27%

Computer Software Company

Manufacturing Company

Government

Outsourcing Company

12%

Performing Arts

12%

University

11%

Marketing Services Firm

11%

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...

See all answers

What needs improvement with Fortify Static Code Analyzer?

See all answers

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...

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

Black Duck SCA vs OpenText Static Application Security Testing

Compared 10% of the time

Veracode vs OpenText Static Application Security Testing

Compared 10% of the time

Semgrep vs OpenText Static Application Security Testing

Compared 8% of the time

Checkmarx Software Composition Analysis vs OpenText Static Application Security Testing

Compared 7% of the time

Mend.io vs OpenText Static Application Security Testing

Compared 5% of the time

More OpenText Static Application Security Testing Competitors

Veracode vs PyCharm

Compared 24% of the time

Mend.io vs PyCharm

Compared 19% of the time

Checkmarx One vs PyCharm

Compared 12% of the time

ReShaper vs PyCharm

Compared 10% of the time

Kiuwan Insights vs PyCharm

Compared 10% of the time

More PyCharm Competitors

Product Reports

Buyer's Guide

OpenText Static Application Security Testing

June 2026

OpenText Static Application Security Testing report

Download OpenText Static Application Security Testing product report

Buyer's Guide

PyCharm

June 2026

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

Buyer's Guide

OpenText Static Application Security Testing vs. PyCharm

April 2026

Free Report: OpenText Static Application Security Testing vs. PyCharm

Find out what your peers are saying about OpenText Static Application Security Testing vs. PyCharm and other solutions. Updated: April 2026.

DOWNLOAD NOW

900,644 professionals have used our research since 2012.

See our OpenText Static Application Security Testing vs. PyCharm report.

See our list of best Static Code Analysis vendors.

We monitor all Static Code Analysis reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.