licscan review
A free CLI for blocking license-policy violations and exporting compliance evidence in CI.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
licscan is a local command-line tool for engineering teams that need dependency license checks and software-bill-of-materials output. It scans manifests and lockfiles for Go, Node.js, PHP, Python, Ruby, Rust, and Java projects. The tool runs on Windows, macOS, and Linux as a standalone local binary, with no account or telemetry. Its policy model supports configurable allow, warn, and deny decisions, including CI build failures when dependencies violate policy.
The published Free plan costs $0 per scan and includes local scanning, license policy checks, CycloneDX and SPDX SBOM generation, and EU Cyber Resilience Act evidence export. The free offering also covers attribution notices through THIRD_PARTY_LICENSES files and report output in JSON, HTML, Markdown, SARIF, and JUnit formats. There are no separate paid tiers to compare, so licscan fits teams seeking an open-source compliance utility rather than a tiered hosted service.
CI and ecosystem fit are central to the product. licscan provides an official GitHub Action and integrations for GitHub Actions, GitLab CI, Jenkins, Azure DevOps, and GitHub Code Scanning. It can export CycloneDX 1.5 and SPDX 2.3 SBOMs, generate EU CRA PDF and SBOM evidence, and classify licenses by risk level. Teams that want local, repository-based enforcement across the supported ecosystems should consider licscan. Teams needing broader language coverage or a visual, account-based workflow should choose an alternative.
licscan pros and cons
- Where it wins
- Free open-source scanning with no account or telemetry
- Supports seven package ecosystems and configurable license policies
- Exports SBOMs, attribution notices, reports, and EU CRA evidence
- Where it doesn't
- Command-line workflow may not suit teams wanting a visual interface
- Coverage is limited to seven package ecosystems
- No paid tiers or expanded commercial feature set are published
licscan fact sheet, pricing and score →
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