Comparison
gitleaks vs Awesome-LLMSecOps
Verdict
Pick gitleaks if gitleaks is an AI-driven tool for detecting secrets within git repositories that can integrate into CI/CD pipelines and offers robust CLI capabilities; pick Awesome-LLMSecOps if awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models.
Markdown twin · gitleaks alternatives · Awesome-LLMSecOps alternatives
GraphCanon updated 5d
vs
Trust & integrity
| Signal | gitleaks | Awesome-LLMSecOps |
|---|---|---|
| Maintenance | Active (18d since push) As of 5d · github_public_v1 | Very active (4d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 5d · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- gitleaks
- Find secrets with Gitleaks 🔑
- Awesome-LLMSecOps
- Curated security resources for LLM operations
Stars
- gitleaks
- 29k
- Awesome-LLMSecOps
- 150
Forks
- gitleaks
- 2.2k
- Awesome-LLMSecOps
- 63
Open issues
- gitleaks
- 464
- Awesome-LLMSecOps
- 11
Language
- gitleaks
- Go
- Awesome-LLMSecOps
- HTML
Adopt for
- gitleaks
- gitleaks is an AI-driven tool for detecting secrets within git repositories that can integrate into CI/CD pipelines and offers robust CLI capabilities.
- Awesome-LLMSecOps
- Awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models.
Persona
- gitleaks
- -
- Awesome-LLMSecOps
- -
Runtime
- gitleaks
- -
- Awesome-LLMSecOps
- -
License
- gitleaks
- MIT
- Awesome-LLMSecOps
- -
Last pushed
- gitleaks
- Jul 29, 2026
- Awesome-LLMSecOps
- Aug 4, 2026
Categories
- gitleaks
- Evaluation & Observability
- Awesome-LLMSecOps
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- gitleaks
- Active (82%)
- Awesome-LLMSecOps
- Very active (96%)
Days since push
- gitleaks
- 18d
- Awesome-LLMSecOps
- 4d
Open issues (now)
- gitleaks
- 464
- Awesome-LLMSecOps
- 11
Stars delta
- gitleaks
- +576 (30d)
- Awesome-LLMSecOps
- Unknown
Open issues delta
- gitleaks
- +36 (30d)
- Awesome-LLMSecOps
- Unknown
Owner type
- gitleaks
- Organization
- Awesome-LLMSecOps
- User
Full report
- gitleaks
- Trust report
- Awesome-LLMSecOps
- Trust report
Choose gitleaks if…
- gitleaks is primarily Go; Awesome-LLMSecOps is HTML.
- Requirements: Min 1 GB RAM; Requires a Go environment to be installed if not using pre-built binaries..
- Tags unique to gitleaks: ai-powered, ci-cd, cicd, cli.
- gitleaks ships Docker support for self-hosted deployment.
- - When you need to detect leaked secrets using advanced AI-powered methods, offering a modern approach over traditional pattern matching.
When NOT to use gitleaks
- - Avoid if looking for broader DLP functionalities that extend beyond git repositories, as gitleaks is specifically tailored to this context.
- - Not recommended if you require real-time alerting features; gitleaks is more suited for periodic or commit-based scanning and analysis.
Choose Awesome-LLMSecOps if…
- Awesome-LLMSecOps is primarily HTML; gitleaks is Go.
- Tags unique to Awesome-LLMSecOps: adversarial-ml-threat-modeling, ai-agents-security, llm-red-teaming, prompt-injection.
- Also covers AI Agents.
- Need a specialized focus on LLM-specific security threats like recursive pollution and prompt manipulation
When NOT to use Awesome-LLMSecOps
- Looking for extensive academic references or ArXiv papers in descriptions
- Require real-time interactive tools rather than curated static lists of resources
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (gitleaks/gitleaks) · observed Aug 16, 2026
- GitHub forks (gitleaks/gitleaks) · observed Aug 16, 2026
- Last push (gitleaks/gitleaks) · observed Jul 29, 2026
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (wearetyomsmnv/Awesome-LLMSecOps) · observed Aug 9, 2026
- GitHub forks (wearetyomsmnv/Awesome-LLMSecOps) · observed Aug 9, 2026
- Last push (wearetyomsmnv/Awesome-LLMSecOps) · observed Aug 4, 2026
- License file (unknown) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: gitleaks 29k · Awesome-LLMSecOps 150 (synced Aug 16, 2026).
Common questions
- What is the difference between gitleaks and Awesome-LLMSecOps?
- gitleaks: Find secrets with Gitleaks 🔑. Awesome-LLMSecOps: Curated security resources for LLM operations. See the comparison table for live GitHub stats and shared categories.
- When should I choose gitleaks over Awesome-LLMSecOps?
- Choose gitleaks over Awesome-LLMSecOps when gitleaks is primarily Go; Awesome-LLMSecOps is HTML; Requirements: Min 1 GB RAM; Requires a Go environment to be installed if not using pre-built binaries.; Tags unique to gitleaks: ai-powered, ci-cd, cicd, cli; gitleaks ships Docker support for self-hosted deployment; - When you need to detect leaked secrets using advanced AI-powered methods, offering a modern approach over traditional pattern matching.
- When should I choose Awesome-LLMSecOps over gitleaks?
- Choose Awesome-LLMSecOps over gitleaks when Awesome-LLMSecOps is primarily HTML; gitleaks is Go; Tags unique to Awesome-LLMSecOps: adversarial-ml-threat-modeling, ai-agents-security, llm-red-teaming, prompt-injection; Also covers AI Agents; Need a specialized focus on LLM-specific security threats like recursive pollution and prompt manipulation.
- When should I avoid gitleaks?
- - Avoid if looking for broader DLP functionalities that extend beyond git repositories, as gitleaks is specifically tailored to this context. - Not recommended if you require real-time alerting features; gitleaks is more suited for periodic or commit-based scanning and analysis.
- When should I avoid Awesome-LLMSecOps?
- Looking for extensive academic references or ArXiv papers in descriptions Require real-time interactive tools rather than curated static lists of resources
- Is gitleaks or Awesome-LLMSecOps more popular on GitHub?
- gitleaks has more GitHub stars (28,753 vs 150). Stars measure visibility, not whether either tool fits your constraints.
- Are gitleaks and Awesome-LLMSecOps open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to gitleaks or Awesome-LLMSecOps?
- GraphCanon lists graph-backed alternatives at gitleaks alternatives and Awesome-LLMSecOps alternatives (gitleaks markdown twin, Awesome-LLMSecOps markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, gitleaks or Awesome-LLMSecOps?
- gitleaks: Active. Awesome-LLMSecOps: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for gitleaks and Awesome-LLMSecOps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gitleaks trust report; Awesome-LLMSecOps trust report.