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Feature Comparison
Features
Free
Paid
Description
Undeclared Component
(Including Snippets) Detection
SBOM
Generation
This is detection of files and snippets, which extends detection from the mere identification of known, declared dependencies. Enables plagiarism validation and AI-coding compliance.
Declared Component Detection
Identifies the known Open Source components that are explicitly declared (e.g. in the package manifest)
High Precision Snippet
Matching (HPSM)
Enables a higher precision snippet detection and rules out noise
Language Agnostic
No limitation to detect code written in any specific programming language.
SBOM
Intelligence
License Intelligence
Provides licenses detected in the code
Copyright Intelligence
Provides copyrights detected in the code
Vulnerability Intelligence
Lists known vulnerabilities for the Open Source components provided
Cryptography Intelligence
(for ECCN)
Lists cryptographic algorithms for the Open Source components provided, which is useful for ECCN (Export Control) classificaiton
Secure Coding Practices
Intelligence
Provides insights on code quality based on security best practices
CPEs
Provides CPE identifiers for Open Source components, useful for identifying known vulnerabilities
Custom Intelligence
Allows customer to create their rules or algoritms to generate new custom aspects of Open Source intelligence
Guarenteed Availability
Availability
and
Throughput
Guarantees 99.9% uptime
Guarenteed Throughput
Guarantees the scanning throughput required by the customer
Cloud (paid version includes
+ dedicated cloud)
Deployment
Our SaaS API allows minimizes deployment time, cost and maintenance
On-Premise
On premise deployments provides the highest level of security, by storing the entire SCANOSS database and platform on the customer site.
Hybrid
Hybrid deployments allow a combination of Cloud and On-Premise
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Free
version head to OSSKB.org
For further details on customization and how to make the most of our platform,
feel free to consult our documentation or get in touch with us directly.