Compare the Top Software Composition Analysis (SCA) Tools for Linux as of July 2025

What are Software Composition Analysis (SCA) Tools for Linux?

Software Composition Analysis (SCA) tools help organizations identify and manage open source and third-party components within their software applications. They scan codebases to detect licenses, vulnerabilities, outdated libraries, and compliance risks associated with external dependencies. SCA tools provide detailed reports and alerts to support secure software development and supply chain risk management. Integration with development environments and CI/CD pipelines enables automated checks throughout the software lifecycle. By enhancing transparency and governance over software components, SCA tools reduce security threats and legal liabilities. Compare and read user reviews of the best Software Composition Analysis (SCA) tools for Linux currently available using the table below. This list is updated regularly.

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    GitGuardian

    GitGuardian

    GitGuardian

    GitGuardian is an end-to-end NHI security platform that empowers software-driven organizations to enhance their Non-Human Identity (NHI) security and comply with industry standards. With attackers increasingly targeting NHIs, such as service accounts and applications, GitGuardian integrates Secrets Security and NHI Governance. This dual approach enables the detection of compromised secrets across your dev environments while also managing non human identities and their secrets lifecycle. The platform supports over 450+ types of secrets, offers public monitoring for leaked data, and deploys honeytokens for added defense. Trusted by over 600,000 developers, GitGuardian is the choice of leading organizations like Snowflake, ING, BASF and Bouygues Telecom for robust secrets protection.
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    Starting Price: $0
  • 2
    JFrog Xray
    DevSecOps Next Generation – Securing Your Binaries. Identify security vulnerabilities and license violations early in the development process and block builds with security issues from deployment. Automated and continuous governance and auditing of software artifacts and dependencies throughout the software development lifecycle from code to production. Additional functionalities include: - Deep recursive scanning of components drilling down to analyze all artifacts and dependencies and creating a graph of relationships between software components. - On-Prem, Cloud, Hybrid, or Multi-Cloud Solution - Impact analysis of how an issue in one component affects all dependent components with a display chain of impacts in a component dependency graph. - JFrog’s vulnerabilities database, continuously updated with new component vulnerability data, includes VulnDB, the industry’s most comprehensive security vulnerability database.
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    Phylum

    Phylum

    Phylum

    Phylum defends applications at the perimeter of the open-source ecosystem and the tools used to build software. Its automated analysis engine scans third-party code as soon as it’s published into the open-source ecosystem to vet software packages, identify risks, inform users and block attacks. Think of Phylum like a firewall for open-source code. Phylum’s database of open-source software supply chain risks is the most comprehensive and scalable offering available, and can be deployed throughout the development lifecycle depending on an organization’s infrastructure and appsec program maturity: in front of artifact repository managers, directly with package managers or in CI/CD pipelines. The Phylum policy library allows users to toggle on the blocking of critical vulnerabilities, attacks like typosquats, obfuscated code and dependency confusion, copyleft licenses, and more. Users can also leverage OPA to create custom policies.
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