Comparison
AutoAudit vs circle-guard-bench
Verdict
Pick AutoAudit if autoAudit leverages LLMs specifically for cyber security tasks and supports custom fine-tuning through models such as GPT, LLAMA, LoRA, and QLORA; pick circle-guard-bench if circle-guard-bench is a Python-based AI benchmark tool for evaluating large language model guard systems under various protection scenarios.
Markdown twin · AutoAudit alternatives · circle-guard-bench alternatives
GraphCanon updated Sep 20, 2026
13views this month
vs
Trust & integrity
| Signal | AutoAudit | circle-guard-bench |
|---|---|---|
| Maintenance | Dormant (568d since push) As of Sep 19, 2026 · github_public_v1 | Slowing (185d since push) As of Sep 9, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 19, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 9, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · 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
- AutoAudit
- LLM for Cyber Security
- circle-guard-bench
- AI benchmark for evaluating LLM guard systems
Stars
- AutoAudit
- 354
- circle-guard-bench
- 75
Forks
- AutoAudit
- 38
- circle-guard-bench
- 5
Open issues
- AutoAudit
- 4
- circle-guard-bench
- 1
Language
- AutoAudit
- HTML
- circle-guard-bench
- Python
Adopt for
- AutoAudit
- AutoAudit leverages LLMs specifically for cyber security tasks and supports custom fine-tuning through models such as GPT, LLAMA, LoRA, and QLORA.
- circle-guard-bench
- circle-guard-bench is a Python-based AI benchmark tool for evaluating large language model guard systems under various protection scenarios.
Persona
- AutoAudit
- -
- circle-guard-bench
- -
Runtime
- AutoAudit
- -
- circle-guard-bench
- -
License
- AutoAudit
- MIT
- circle-guard-bench
- Apache-2.0
Last pushed
- AutoAudit
- Feb 28, 2025
- circle-guard-bench
- Mar 7, 2026
Categories
- AutoAudit
- Evaluation & Observability, Model Training
- circle-guard-bench
- Evaluation & Observability
Trust and health
Maintenance
- AutoAudit
- Dormant (18%)
- circle-guard-bench
- Slowing (36%)
Days since push
- AutoAudit
- 568d
- circle-guard-bench
- 185d
Open issues (now)
- AutoAudit
- 4
- circle-guard-bench
- 1
Stars delta
- AutoAudit
- -1 (30d)
- circle-guard-bench
- +3 (30d)
Open issues delta
- AutoAudit
- 0 (30d)
- circle-guard-bench
- +1 (30d)
Owner type
- AutoAudit
- User
- circle-guard-bench
- Organization
Full report
- AutoAudit
- Trust report
- circle-guard-bench
- Trust report
Choose AutoAudit if…
- AutoAudit is primarily HTML; circle-guard-bench is Python.
- License: AutoAudit is MIT, circle-guard-bench is Apache-2.0.
- Tags unique to AutoAudit: cyber-security, fine-tuning, gpt, llama.
- Also covers Model Training.
- When your project requires a language model focused on cyber security applications rather than general content generation.
When NOT to use AutoAudit
- For projects needing broad, general-purpose text generation that does not require cyber security expertise embedded in the model.
- In scenarios where proprietary data privacy is a concern, given AutoAudit's nature as an LLM for cyber security may imply certain data processing policies could be less flexible.
Choose circle-guard-bench if…
- circle-guard-bench is primarily Python; AutoAudit is HTML.
- License: circle-guard-bench is Apache-2.0, AutoAudit is MIT.
- Tags unique to circle-guard-bench: ai, benchmarking, guardrail, large-language-models.
- Use circle-guard-bench when you need to evaluate the effectiveness of guardrails and safeguards in your LLM environment, as it offers an unparalleled set of scenarios specific to these protections.
When NOT to use circle-guard-bench
- Avoid circle-guard-bench if your primary focus is on benchmarking the performance aspects like speed and latency of LLMs, as it specializes in evaluating protections rather than performance.
- Do not use this tool when you intend to conduct general purpose evaluations or comparisons between different LLM models that do not specifically involve security-related guard systems.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ddzipp/AutoAudit) · observed Sep 20, 2026
- GitHub forks (ddzipp/AutoAudit) · observed Sep 20, 2026
- Last push (ddzipp/AutoAudit) · observed Feb 28, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (whitecircle/circle-guard-bench) · observed Sep 20, 2026
- GitHub forks (whitecircle/circle-guard-bench) · observed Sep 20, 2026
- Last push (whitecircle/circle-guard-bench) · observed Mar 7, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: AutoAudit 354 · circle-guard-bench 75 (synced Sep 20, 2026).
Common questions
- What is the difference between AutoAudit and circle-guard-bench?
- AutoAudit: LLM for Cyber Security. circle-guard-bench: AI benchmark for evaluating LLM guard systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose AutoAudit over circle-guard-bench?
- Choose AutoAudit over circle-guard-bench when AutoAudit is primarily HTML; circle-guard-bench is Python; License: AutoAudit is MIT, circle-guard-bench is Apache-2.0; Tags unique to AutoAudit: cyber-security, fine-tuning, gpt, llama; Also covers Model Training; When your project requires a language model focused on cyber security applications rather than general content generation.
- When should I choose circle-guard-bench over AutoAudit?
- Choose circle-guard-bench over AutoAudit when circle-guard-bench is primarily Python; AutoAudit is HTML; License: circle-guard-bench is Apache-2.0, AutoAudit is MIT; Tags unique to circle-guard-bench: ai, benchmarking, guardrail, large-language-models; Use circle-guard-bench when you need to evaluate the effectiveness of guardrails and safeguards in your LLM environment, as it offers an unparalleled set of scenarios specific to these protections.
- When should I avoid AutoAudit?
- For projects needing broad, general-purpose text generation that does not require cyber security expertise embedded in the model. In scenarios where proprietary data privacy is a concern, given AutoAudit's nature as an LLM for cyber security may imply certain data processing policies could be less flexible.
- When should I avoid circle-guard-bench?
- Avoid circle-guard-bench if your primary focus is on benchmarking the performance aspects like speed and latency of LLMs, as it specializes in evaluating protections rather than performance. Do not use this tool when you intend to conduct general purpose evaluations or comparisons between different LLM models that do not specifically involve security-related guard systems.
- Is AutoAudit or circle-guard-bench more popular on GitHub?
- AutoAudit has more GitHub stars (354 vs 75). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoAudit and circle-guard-bench open source?
- Yes - both are open-source projects on GitHub (AutoAudit: MIT, circle-guard-bench: Apache-2.0).
- Where can I find alternatives to AutoAudit or circle-guard-bench?
- GraphCanon lists graph-backed alternatives at AutoAudit alternatives and circle-guard-bench alternatives (AutoAudit markdown twin, circle-guard-bench 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, AutoAudit or circle-guard-bench?
- AutoAudit: Dormant. circle-guard-bench: 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 AutoAudit and circle-guard-bench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoAudit trust report; circle-guard-bench trust report.