DejaCode vs ScanCode Toolkit

DejaCode is an enterprise application for managing open-source license compliance and software supply-chain integrity across products and teams. It tracks open-source and third-party components, with unlimited products, components, and packages in each plan. Teams can store and manage SBOMs, retain historical records for audits, and import CycloneDX, SPDX, or AboutFile formats. Usage policies can be set at license or package level and linked with ScanCode; enforcement is advisory. Integrations include GitHub, GitLab, Jira Cloud, SourceHut, and Forgejo, with REST API and webhook options for other services. AboutCode connections include ScanCode.io for package scanning, PurlDB, and VulnerableCode for vulnerability data. Deployment documentation covers Docker, enterprise, and local development setups. For enterprise deployments, the guidance recommends running your own related service instances to avoid sending sensitive or private data to public endpoints. Team starts at $500 a month and Business at $1,500 a month, each billed annually at the start of the subscription period. Enterprise pricing is custom and not listed. A private evaluation instance with all features and support is available for 30 days.

ScanCode Toolkit is a free tool for scanning codebases for origin, copyrights, licenses, vulnerabilities, packages, and dependencies. It can run as a command-line tool or as a library within an application. Its license detection compares text extracted from files with an index of license texts and rules. Scanning can recursively unpack archives and extract text from binary files when needed, while package support covers manifests, lockfiles, and package datafiles. Results can be saved as JSON, YAML, JSON Lines, HTML, SPDX, Debian copyright, or CycloneDX; CSV is marked deprecated. JSON results can feed ScanCode Workbench and other applications that accept ScanCode data. Plugins extend processing stages, and external plugins can add license data. Installation options include release archives, Docker, source, pip, and Fedora’s repository. Linux, macOS, and Windows are listed as tested platforms, with 64-bit operating system and Python requirements. The project points users to community Slack and GitHub discussions for help; scan output is provided without warranties and is not legal advice.