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Veracode VS OpenCV

Compare Veracode VS OpenCV and see what are their differences

PlexTrac
PlexTrac is the #1 AI-powered platform for pentest reporting and threat exposure management, helping cybersecurity teams efficiently address the most critical threats and vulnerabilities. featured
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Veracode logo Veracode

Veracode's application security software products are simpler and more scalable to increase the resiliency of your application infrastructure.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Veracode Landing page
    Landing page //
    2023-10-15
  • OpenCV Landing page
    Landing page //
    2023-07-29

Veracode

Website
veracode.com
$ Details
-
Release Date
2006 January
Startup details
Country
United States
State
Massachusetts
City
Burlington
Founder(s)
Chris Wysopal
Employees
250 - 499
Edit details

OpenCV

Website
opencv.org
$ Details
Release Date
-
Edit details

Veracode features and specs

  • Comprehensive Security Coverage
    Veracode offers a wide range of services including static analysis, dynamic analysis, software composition analysis, and manual penetration testing, providing comprehensive security coverage for applications.
  • Scalability
    Veracode's cloud-based platform is highly scalable, making it suitable for organizations of all sizes, from startups to large enterprises.
  • Ease of Use
    The platform is designed to be user-friendly, with an intuitive interface and comprehensive documentation, helping to reduce the learning curve for new users.
  • Integration Capabilities
    Veracode integrates seamlessly with various development tools and CI/CD pipelines, enhancing workflow efficiency and reducing friction for development teams.
  • Actionable Insights
    The platform provides detailed reports and actionable insights that help developers understand and address vulnerabilities more effectively.
  • Compliance Support
    Veracode helps organizations comply with various regulatory requirements such as GDPR, HIPAA, and PCI DSS by providing necessary security measures and documentation.
  • Regular Updates
    The platform is regularly updated with new features and security measures to keep up with the evolving threat landscape.

Possible disadvantages of Veracode

  • Cost
    Veracode may be expensive for small businesses and startups, especially those with limited budgets for cybersecurity.
  • False Positives
    Like many automated security tools, Veracode can sometimes generate false positives, which might require additional effort to review and validate.
  • Performance Impact
    Running extensive security scans, particularly dynamic analysis, can be resource-intensive and might impact application performance during the scanning process.
  • Learning Curve for Advanced Features
    While basic functionalities are straightforward, leveraging some of the more advanced features may require additional training and expertise.
  • Dependency on Internet Connectivity
    Being a cloud-based solution, Veracode requires reliable internet connectivity, which might be a limitation for organizations in areas with unstable internet access.
  • Limited Customizability
    Some users may find that the platform offers limited customization options compared to other on-premises solutions.
  • Support Response Time
    Some users have reported that the response time for customer support can be slower than expected, particularly during peak times.

OpenCV features and specs

  • Comprehensive Library
    OpenCV offers a wide range of tools for various aspects of computer vision, including image processing, machine learning, and video analysis.
  • Cross-Platform Compatibility
    OpenCV is designed to run on multiple platforms, including Windows, Linux, macOS, Android, and iOS, which makes it versatile for development across different environments.
  • Open Source
    Being open-source, OpenCV is freely available for use and allows developers to inspect, modify, and enhance the code according to their needs.
  • Large Community Support
    A large community of developers and researchers actively contributes to OpenCV, providing extensive support, tutorials, forums, and continuously updated documentation.
  • Real-Time Performance
    OpenCV is highly optimized for real-time applications, making it suitable for performance-critical tasks in various industries such as robotics and interactive installations.
  • Extensive Integration
    OpenCV can easily be integrated with other libraries and frameworks such as TensorFlow, PyTorch, and OpenCL, enhancing its capabilities in deep learning and GPU acceleration.
  • Rich Collection of examples
    OpenCV provides a large number of example codes and sample applications, which can significantly reduce the learning curve for beginners.

Possible disadvantages of OpenCV

  • Steep Learning Curve
    Due to the vast array of functionalities and the complexity of some of its advanced features, beginners may find it challenging to learn and use effectively.
  • Documentation Gaps
    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.
  • Resource Intensive
    Some functions and algorithms in OpenCV can be quite resource-intensive, requiring significant processing power and memory, which can be a limitation for low-end devices.
  • Limited High-Level Abstractions
    OpenCV provides a wealth of low-level functions, but it may lack higher-level abstractions and frameworks, necessitating more hands-on coding and algorithm development.
  • Dependency Management
    Setting up and managing dependencies can be cumbersome, especially when integrating OpenCV with other libraries or on certain operating systems.
  • Backward Compatibility Issues
    With frequent updates and new versions, backward compatibility can sometimes be problematic, potentially breaking existing code when updating.

Analysis of Veracode

Overall verdict

  • Overall, Veracode is a highly regarded solution in the realm of application security, offering robust features and integrations that make it suitable for businesses looking to strengthen their software security posture.

Why this product is good

  • Veracode is considered a good option for application security because it offers a comprehensive cloud-based platform that integrates with various DevOps tools and workflows, making it easy for organizations to maintain secure software development practices. It provides thorough static and dynamic analysis, software composition analysis, and manual penetration testing, all of which help identify and remediate vulnerabilities effectively. The platform's ease of integration and its ability to support multiple languages and frameworks add to its reputation as a reliable and efficient security tool.

Recommended for

    Veracode is particularly recommended for medium to large-sized enterprises that have substantial software development activities. It suits organizations that need to adhere to strict compliance requirements, such as those in finance, healthcare, and other regulated industries. Additionally, it is a good fit for teams that prioritize seamless integration with existing DevOps practices.

Analysis of OpenCV

Overall verdict

  • Yes, OpenCV is considered a good and reliable choice for computer vision tasks, particularly due to its extensive functionality, active community, and flexibility.

Why this product is good

  • OpenCV (Open Source Computer Vision Library) is widely regarded as a robust and versatile library for computer vision applications. It offers a comprehensive collection of functions and algorithms for image processing, video capture, machine learning, and more. Its open-source nature encourages community involvement, making it highly adaptable and continuously improving. OpenCV's cross-platform support and ease of integration with other libraries and languages further enhance its appeal.

Recommended for

  • Developers and researchers working on computer vision projects
  • People looking to implement real-time video analysis
  • Individuals exploring machine learning applications related to image and video processing
  • Anyone interested in experimenting with or learning computer vision concepts

Veracode videos

+ Add

Veracode Explained in 2 Minutes

More videos:

  • Review - Navigate the Veracode Homepage, Submit a Static Scan, and Review Results
  • Review - Veracode Review (Real User: Tim Jee)

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Veracode and OpenCV)

Veracode

OpenCV

Web Application Security
100 100%
Web Application Security
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Code Analysis
100 100%
Code Analysis
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Veracode and OpenCV

Veracode Reviews

The Top 11 Static Application Security Testing (SAST) Tools
Veracode Standout Features: Key features include support for over 100 languages and frameworks, integration with IDEs and APIs for custom workflows, extensive documentation, and a low false positive rate. Veracode integrates seamlessly with popular development tools, offering a centralized management portal and a scalable cloud architecture.
Source: expertinsights.com
Top 11 SonarQube Alternatives in 2024
Veracode is a leading provider of application security solutions. It offers a comprehensive suite of security testing tools that help organizations identify and remediate vulnerabilities in their applications. Veracode's tools are used by a wide range of organizations, from small businesses to large enterprises, to protect their applications from cyberattacks.
Source: www.codeant.ai
The 5 Best SonarQube Alternatives in 2024
Veracode's extensive integrations and focus on working within existing developer environments address the "not engineer-friendly" complaint sometimes leveled at SonarQube, and Veracode's interactive developer education features can help teams build security knowledge over time, potentially easing the steep learning curve associated with security tools.
Source: blog.codacy.com
Ten Best SonarQube alternatives in 2021
Veracode helps groups that innovate via software programs deliver comfy code on time. Veracode contrasts to on-premise answers, which can be tough to scale and targeted on finding instead of solving.
Source: duecode.io
TOP 40 Static Code Analysis Tools (Best Source Code Analysis Tools)
Veracode is a static analysis tool that is built on the SaaS model. This tool is mainly used to analyze the code from a security point of view.
Source: www.softwaretestinghelp.com

OpenCV Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
Source: www.labellerr.com
10 Python Libraries for Computer Vision
OpenCV is the go-to library for computer vision tasks. It boasts a vast collection of algorithms and functions that facilitate tasks such as image and video processing, feature extraction, object detection, and more. Its simple interface, extensive documentation, and compatibility with various platforms make it a preferred choice for both beginners and experts in the field.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
OpenCV is an open-source computer vision and machine learning software library that was first released in 2000. It was initially developed by Intel, and now it is maintained by the OpenCV Foundation. OpenCV provides a set of tools and software development kits (SDKs) that help developers create computer vision applications. It is written in C++, but it supports several...
Source: www.uubyte.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
These are some of the most basic operations that can be performed with the OpenCV on an image. Apart from this, OpenCV can perform operations such as Image Segmentation, Face Detection, Object Detection, 3-D reconstruction, feature extraction as well.
Source: neptune.ai
5 Ultimate Python Libraries for Image Processing
Pillow is an image processing library for Python derived from the PIL or the Python Imaging Library. Although it is not as powerful and fast as openCV it can be used for simple image manipulation works like cropping, resizing, rotating and greyscaling the image. Another benefit is that it can be used without NumPy and Matplotlib.
Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, OpenCV seems to be more popular. It has been mentiond 60 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Veracode mentions (0)

We have not tracked any mentions of Veracode yet. Tracking of Veracode recommendations started around Mar 2021.

OpenCV mentions (60)

  • Grasping Computer Vision Fundamentals Using Python
    To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / 27 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / about 1 month ago
  • Why 2024 Was the Best Year for Visual AI (So Far)
    Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 5 months ago
  • 20 Open Source Tools I Recommend to Build, Share, and Run AI Projects
    OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 7 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 8 months ago
View more

What are some alternatives?

When comparing Veracode and OpenCV, you can also consider the following products

Checkmarx - The industry’s most comprehensive AppSec platform, Checkmarx One is fast, accurate, and accelerates your business.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Acunetix Vulnerability Scanner - Acunetix Vulnerability Scanner is a platform that offers a web vulnerability scanner and provides security testing to users for their web applications.

NumPy - NumPy is the fundamental package for scientific computing with Python

GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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