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Comparison

ps-fuzz vs llm-guard

Verdict

Pick ps-fuzz when tags unique to ps-fuzz: ai-fuzzer, fuzzer, generative-ai, llm-fuzzer; pick llm-guard 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..

Markdown twin · ps-fuzz alternatives · llm-guard alternatives

GraphCanon updated 2w

ps-fuzz logo

ps-fuzz

prompt-security/ps-fuzz

★ 702pushed Feb 16, 2026
vs
llm-guard logo

llm-guard

protectai/llm-guard

★ 3.2kpushed Jul 8, 2026

Trust & integrity

Signalps-fuzzllm-guard
Maintenance
Slowing (169d since push)
As of 2w · github_public_v1
Archived (27d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · 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
ps-fuzz trust reportllm-guard trust reportTrust methodology

Tagline

ps-fuzz
Test and harden system prompts for GenAI apps to ensure safety and security.
llm-guard
The Security Toolkit for LLM Interactions

Stars

ps-fuzz
702
llm-guard
3.2k

Forks

ps-fuzz
102
llm-guard
435

Open issues

ps-fuzz
20
llm-guard
40

Language

ps-fuzz
Python
llm-guard
Python

Adopt for

ps-fuzz
-
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

ps-fuzz
-
llm-guard
-

Runtime

ps-fuzz
-
llm-guard
-

License

ps-fuzz
MIT
llm-guard
MIT

Last pushed

ps-fuzz
Feb 16, 2026
llm-guard
Jul 8, 2026

Categories

ps-fuzz
Developer Tools, Evaluation & Observability
llm-guard
Developer Tools, Evaluation & Observability

Trust and health

Maintenance

ps-fuzz
Slowing (36%)
llm-guard
Archived (8%)

Days since push

ps-fuzz
169d
llm-guard
27d

Archived on GitHub

ps-fuzz
No
llm-guard
Yes

Open issues (now)

ps-fuzz
20
llm-guard
40

Full report

ps-fuzz
Trust report
llm-guard
Trust report

Shared compatibility

  • Python · ps-fuzz: Python runtime · llm-guard: Python runtime

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.
  • Leaner open-issue backlog (20).

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.
GitHubDetails

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.
GitHubDetails

Explore

ps-fuzz trust report →llm-guard trust report →Developer Tools category →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: ps-fuzz 702 · llm-guard 3.2k (synced Aug 5, 2026).

Common questions

What is the difference between ps-fuzz and llm-guard?
ps-fuzz: Test and harden system prompts for GenAI apps to ensure safety and security.. llm-guard: The Security Toolkit for LLM Interactions. See the comparison table for live GitHub stats and shared categories.
When should I choose ps-fuzz over llm-guard?
Choose ps-fuzz over llm-guard 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; Leaner open-issue backlog (20).
When should I choose llm-guard over ps-fuzz?
Choose llm-guard over ps-fuzz 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 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.
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 ps-fuzz or llm-guard more popular on GitHub?
llm-guard has more GitHub stars (3,202 vs 702). Stars measure visibility, not whether either tool fits your constraints.
Are ps-fuzz and llm-guard open source?
Yes - both are open-source projects on GitHub (ps-fuzz: MIT, llm-guard: MIT).
Where can I find alternatives to ps-fuzz or llm-guard?
GraphCanon lists graph-backed alternatives at ps-fuzz alternatives and llm-guard alternatives (ps-fuzz 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, ps-fuzz or llm-guard?
ps-fuzz: Slowing. 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 ps-fuzz and llm-guard?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ps-fuzz trust report; llm-guard trust report.

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