psutil VS Veracode

• Cross-Platform Compatibility
  Psutil is designed to work across different operating systems including Linux, Windows, and macOS, providing a unified API for system monitoring.
• Comprehensive Functionality
  It offers a wide range of features for monitoring system performance metrics such as CPU usage, memory, disks, network, and system sensors.
• Active Maintenance and Support
  Psutil is actively maintained with regular updates and bug fixes, ensuring that it remains reliable and up-to-date with new system metrics and features.
• Well-Documented
  The library comes with extensive documentation and examples, making it easier for developers to integrate and utilize its functionalities.
• Pythonic API
  Psutil provides a clear and Pythonic interface, allowing Python developers to easily integrate system monitoring capabilities into their applications.

Possible disadvantages

• Resource Intensive
  While providing extensive monitoring capabilities, psutil can be resource-intensive, potentially impacting system performance when monitoring frequently or on resource-constrained systems.
• Platform-Specific Limitations
  Some functionality may not be available on all platforms, requiring platform-specific considerations or workarounds in application development.
• Requires Administrative Privileges
  Certain metrics and functionalities may require administrative privileges, potentially limiting usage in restricted environments or without proper permissions.
• Version Compatibility
  There may be compatibility issues between different versions of psutil and Python, requiring careful management of dependencies in larger projects.

• 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

• 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.

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• Profiling Python code with memory_profiler

  It uses the psutil library (or can use tracemalloc or posix) to access process information in a cross platform way, so it works on Windows, Mac, and Linux. - Source: dev.to / over 5 years ago

Tracking Veracode since Mar 2021.