Comparison
LLMFuzzer vs ps-fuzz
Verdict
Pick LLMFuzzer when tags unique to LLMFuzzer: ai, cybersecurity, llm, llmsecurity; pick ps-fuzz when tags unique to ps-fuzz: ai-fuzzer, fuzzer, generative-ai, llm-fuzzer.
Markdown twin · LLMFuzzer alternatives · ps-fuzz alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | LLMFuzzer | ps-fuzz |
|---|---|---|
| Maintenance | Dormant (904d since push) As of 2w · github_public_v1 | Slowing (169d 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
- ps-fuzz
- Test and harden system prompts for GenAI apps to ensure safety and security.
Stars
- LLMFuzzer
- 372
- ps-fuzz
- 702
Forks
- LLMFuzzer
- 63
- ps-fuzz
- 102
Open issues
- LLMFuzzer
- 3
- ps-fuzz
- 20
Language
- LLMFuzzer
- Python
- ps-fuzz
- Python
Adopt for
- LLMFuzzer
- LLMFuzzer is an open-source fuzzing framework tailored for testing the robustness of Large Language Models through their APIs.
- ps-fuzz
- -
Persona
- LLMFuzzer
- -
- ps-fuzz
- -
Runtime
- LLMFuzzer
- -
- ps-fuzz
- -
License
- LLMFuzzer
- MIT
- ps-fuzz
- MIT
Last pushed
- LLMFuzzer
- Feb 12, 2024
- ps-fuzz
- Feb 16, 2026
Categories
- LLMFuzzer
- Developer Tools, Evaluation & Observability
- ps-fuzz
- Developer Tools, Evaluation & Observability
Trust and health
Maintenance
- LLMFuzzer
- Dormant (18%)
- ps-fuzz
- Slowing (36%)
Days since push
- LLMFuzzer
- 904d
- ps-fuzz
- 169d
Open issues (now)
- LLMFuzzer
- 3
- ps-fuzz
- 20
Owner type
- LLMFuzzer
- User
- ps-fuzz
- Organization
OSV dependency advisories
- LLMFuzzer
- Published findings
- ps-fuzz
- No lockfile (source not queried)
Full report
- LLMFuzzer
- Trust report
- ps-fuzz
- 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 ps-fuzz if…
- Tags unique to ps-fuzz: ai-fuzzer, fuzzer, generative-ai, llm-fuzzer.
- When you need to methodically test system prompts in generative AI applications for potential security flaws.
- More GitHub stars (702 vs 372) - visibility, not fit.
When NOT to use ps-fuzz
- If your project does not involve generative AI applications or does not require prompt testing for security reasons.
- For tasks unrelated to the hardening and evaluation of system prompts, as ps-fuzz is specifically designed for this purpose.
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 (prompt-security/ps-fuzz) · observed Aug 5, 2026
- GitHub forks (prompt-security/ps-fuzz) · observed Aug 5, 2026
- Last push (prompt-security/ps-fuzz) · observed Feb 16, 2026
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LLMFuzzer 372 · ps-fuzz 702 (synced Aug 5, 2026).
Common questions
- What is the difference between LLMFuzzer and ps-fuzz?
- LLMFuzzer: Fuzzing Framework for Large Language Models. ps-fuzz: Test and harden system prompts for GenAI apps to ensure safety and security.. See the comparison table for live GitHub stats and shared categories.
- When should I choose LLMFuzzer over ps-fuzz?
- Choose LLMFuzzer over ps-fuzz 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 ps-fuzz over LLMFuzzer?
- Choose ps-fuzz over LLMFuzzer when Tags unique to ps-fuzz: ai-fuzzer, fuzzer, generative-ai, llm-fuzzer; When you need to methodically test system prompts in generative AI applications for potential security flaws; More GitHub stars (702 vs 372) - visibility, not fit.
- 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 ps-fuzz?
- If your project does not involve generative AI applications or does not require prompt testing for security reasons. For tasks unrelated to the hardening and evaluation of system prompts, as ps-fuzz is specifically designed for this purpose.
- Is LLMFuzzer or ps-fuzz more popular on GitHub?
- ps-fuzz has more GitHub stars (702 vs 372). Stars measure visibility, not whether either tool fits your constraints.
- Are LLMFuzzer and ps-fuzz open source?
- Yes - both are open-source projects on GitHub (LLMFuzzer: MIT, ps-fuzz: MIT).
- Where can I find alternatives to LLMFuzzer or ps-fuzz?
- GraphCanon lists graph-backed alternatives at LLMFuzzer alternatives and ps-fuzz alternatives (LLMFuzzer markdown twin, ps-fuzz 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 ps-fuzz?
- LLMFuzzer: Dormant. ps-fuzz: Slowing. 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 ps-fuzz?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLMFuzzer trust report; ps-fuzz trust report.