Comparison
LLMFuzzer vs llm-guard
Verdict
Pick LLMFuzzer if lLMFuzzer is an open-source fuzzing framework tailored for testing the robustness of Large Language Models through their APIs; pick llm-guard if lLM Guard is a toolkit tailored for securing interactions with large language models, focusing on safeguarding against prompt injection and adversarial attacks.
Markdown twin · LLMFuzzer alternatives · llm-guard alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | LLMFuzzer | llm-guard |
|---|---|---|
| Maintenance | Dormant (904d since push) As of 2w · github_public_v1 | Archived (27d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings 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
- LLMFuzzer
- Fuzzing Framework for Large Language Models
- llm-guard
- The Security Toolkit for LLM Interactions
Stars
- LLMFuzzer
- 372
- llm-guard
- 3.2k
Forks
- LLMFuzzer
- 63
- llm-guard
- 435
Open issues
- LLMFuzzer
- 3
- llm-guard
- 40
Language
- LLMFuzzer
- Python
- llm-guard
- Python
Adopt for
- LLMFuzzer
- LLMFuzzer is an open-source fuzzing framework tailored for testing the robustness of Large Language Models through their APIs.
- llm-guard
- LLM Guard is a toolkit tailored for securing interactions with large language models, focusing on safeguarding against prompt injection and adversarial attacks.
Persona
- LLMFuzzer
- -
- llm-guard
- -
Runtime
- LLMFuzzer
- -
- llm-guard
- -
License
- LLMFuzzer
- MIT
- llm-guard
- MIT
Last pushed
- LLMFuzzer
- Feb 12, 2024
- llm-guard
- Jul 8, 2026
Categories
- LLMFuzzer
- Developer Tools, Evaluation & Observability
- llm-guard
- Developer Tools, Evaluation & Observability
Trust and health
Maintenance
- LLMFuzzer
- Dormant (18%)
- llm-guard
- Archived (8%)
Days since push
- LLMFuzzer
- 904d
- llm-guard
- 27d
Archived on GitHub
- LLMFuzzer
- No
- llm-guard
- Yes
Open issues (now)
- LLMFuzzer
- 3
- llm-guard
- 40
Owner type
- LLMFuzzer
- User
- llm-guard
- Organization
OSV dependency advisories
- LLMFuzzer
- Published findings
- llm-guard
- No lockfile (source not queried)
Full report
- LLMFuzzer
- Trust report
- llm-guard
- Trust report
Choose LLMFuzzer if…
- Tags unique to LLMFuzzer: ai, cybersecurity, llm, llmsecurity.
- When ensuring custom LLM integrations are secure against unexpected inputs and edge cases
- Leaner open-issue backlog (3).
When NOT to use LLMFuzzer
- If the project exclusively uses proprietary closed-source models without accessible APIs
- For general software testing not involving interactions with or security checks of language models
Choose llm-guard if…
- Requirements: Min 2 GB RAM; Ensure you have Python version 3.9 or higher.; Some advanced features require additional libraries which are automatically installed as needed..
- Tags unique to llm-guard: adversarial-machine-learning, chatgpt, large language models, llm security.
- - You need to secure your application from sophisticated prompt injection techniques.
When NOT to use llm-guard
- - If you are working in a low-security environment or with small-scale projects where advanced security mechanisms are not necessary.
- - In cases where integrating external libraries and ensuring Python version compatibility may introduce complexities that outweigh the benefits.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (mnns/LLMFuzzer) · observed Aug 5, 2026
- GitHub forks (mnns/LLMFuzzer) · observed Aug 5, 2026
- Last push (mnns/LLMFuzzer) · observed Feb 12, 2024
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (protectai/llm-guard) · observed Aug 5, 2026
- GitHub forks (protectai/llm-guard) · observed Aug 5, 2026
- Last push (protectai/llm-guard) · observed Jul 8, 2026
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LLMFuzzer 372 · llm-guard 3.2k (synced Aug 5, 2026).
Common questions
- What is the difference between LLMFuzzer and llm-guard?
- LLMFuzzer: Fuzzing Framework for Large Language Models. llm-guard: The Security Toolkit for LLM Interactions. See the comparison table for live GitHub stats and shared categories.
- When should I choose LLMFuzzer over llm-guard?
- Choose LLMFuzzer over llm-guard when Tags unique to LLMFuzzer: ai, cybersecurity, llm, llmsecurity; When ensuring custom LLM integrations are secure against unexpected inputs and edge cases; Leaner open-issue backlog (3).
- When should I choose llm-guard over LLMFuzzer?
- Choose llm-guard over LLMFuzzer when Requirements: Min 2 GB RAM; Ensure you have Python version 3.9 or higher.; Some advanced features require additional libraries which are automatically installed as needed.; Tags unique to llm-guard: adversarial-machine-learning, chatgpt, large language models, llm security; - You need to secure your application from sophisticated prompt injection techniques.
- When should I avoid LLMFuzzer?
- If the project exclusively uses proprietary closed-source models without accessible APIs For general software testing not involving interactions with or security checks of language models
- When should I avoid llm-guard?
- - If you are working in a low-security environment or with small-scale projects where advanced security mechanisms are not necessary. - In cases where integrating external libraries and ensuring Python version compatibility may introduce complexities that outweigh the benefits.
- Is LLMFuzzer or llm-guard more popular on GitHub?
- llm-guard has more GitHub stars (3,202 vs 372). Stars measure visibility, not whether either tool fits your constraints.
- Are LLMFuzzer and llm-guard open source?
- Yes - both are open-source projects on GitHub (LLMFuzzer: MIT, llm-guard: MIT).
- Where can I find alternatives to LLMFuzzer or llm-guard?
- GraphCanon lists graph-backed alternatives at LLMFuzzer alternatives and llm-guard alternatives (LLMFuzzer markdown twin, llm-guard 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, LLMFuzzer or llm-guard?
- LLMFuzzer: Dormant. llm-guard: Archived. 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 LLMFuzzer and llm-guard?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLMFuzzer trust report; llm-guard trust report.