--- title: "ALERT vs circle-guard-bench" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/babelscape-alert-vs-whitecircle-circle-guard-bench" tools: ["babelscape-alert", "whitecircle-circle-guard-bench"] --- # ALERT vs circle-guard-bench *GraphCanon updated Sep 20, 2026* ## Verdict Pick ALERT if aLERT is designed specifically for red-teaming based safety evaluation on large language models, using MIT licensed prompts and adversarial augmentation; 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. [ALERT](https://arxiv.org/abs/2404.08676) reports 59 GitHub stars, 8 forks, and 0 open issues, last pushed Sep 20, 2024. [circle-guard-bench](https://whitecircle.ai) has 75 stars, 5 forks, and 1 open issues, last pushed Mar 7, 2026. Figures are from public GitHub metadata via [ALERT's repository](https://github.com/Babelscape/ALERT) and [circle-guard-bench's repository](https://github.com/whitecircle/circle-guard-bench). | | [ALERT](/tools/babelscape-alert.md) | [circle-guard-bench](/tools/whitecircle-circle-guard-bench.md) | | --- | --- | --- | | Tagline | A Comprehensive Benchmark for Assessing Large Language Models' Safety Through Red Teaming | AI benchmark for evaluating LLM guard systems | | Stars | 59 | 75 | | Forks | 8 | 5 | | Open issues | 0 | 1 | | Language | Python | Python | | Adopt for | ALERT is designed specifically for red-teaming based safety evaluation on large language models, using MIT licensed prompts and adversarial augmentation. | circle-guard-bench is a Python-based AI benchmark tool for evaluating large language model guard systems under various protection scenarios. | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ALERT](/tools/babelscape-alert.md) | [circle-guard-bench](/tools/whitecircle-circle-guard-bench.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 719d | 185d | | Open issues (now) | 0 | 1 | | Stars delta | 0 (30d) | +3 (30d) | | Open issues delta | 0 (30d) | +1 (30d) | | Full report | [trust report](/tools/babelscape-alert/trust.md) | [trust report](/tools/whitecircle-circle-guard-bench/trust.md) | ## Decision facts: ALERT - **Adopt for:** ALERT is designed specifically for red-teaming based safety evaluation on large language models, using MIT licensed prompts and adversarial augmentation. ## Decision facts: circle-guard-bench - **Adopt for:** circle-guard-bench is a Python-based AI benchmark tool for evaluating large language model guard systems under various protection scenarios. ## Choose when ### Choose ALERT if… - License: ALERT is Other, circle-guard-bench is Apache-2.0. - Tags unique to ALERT: artificial-intelligence, benchmark, bias-detection, llm-safety. - When evaluating safety metrics of large language models through red-teaming approaches ### Choose circle-guard-bench if… - License: circle-guard-bench is Apache-2.0, ALERT is Other. - Tags unique to circle-guard-bench: benchmarking, guardrail, large-language-models, llm-security. - 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 ALERT - If your evaluation does not require bias detection or safety assessment under adversarial conditions - In scenarios where a broader range of model aspects beyond safety is needed, as ALERT focuses primarily on safety benchmarks ## 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. ## Common questions ### What is the difference between ALERT and circle-guard-bench? ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety Through Red Teaming. 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 ALERT over circle-guard-bench? Choose ALERT over circle-guard-bench when License: ALERT is Other, circle-guard-bench is Apache-2.0; Tags unique to ALERT: artificial-intelligence, benchmark, bias-detection, llm-safety; When evaluating safety metrics of large language models through red-teaming approaches. ### When should I choose circle-guard-bench over ALERT? Choose circle-guard-bench over ALERT when License: circle-guard-bench is Apache-2.0, ALERT is Other; Tags unique to circle-guard-bench: benchmarking, guardrail, large-language-models, llm-security; 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 ALERT? If your evaluation does not require bias detection or safety assessment under adversarial conditions In scenarios where a broader range of model aspects beyond safety is needed, as ALERT focuses primarily on safety benchmarks ### 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 ALERT or circle-guard-bench more popular on GitHub? circle-guard-bench has more GitHub stars (75 vs 59). Stars measure visibility, not whether either tool fits your constraints. ### Are ALERT and circle-guard-bench open source? Yes - both are open-source projects on GitHub (ALERT: Other, circle-guard-bench: Apache-2.0). ### Where can I find alternatives to ALERT or circle-guard-bench? GraphCanon lists graph-backed alternatives at [ALERT alternatives](/tools/babelscape-alert/alternatives) and [circle-guard-bench alternatives](/tools/whitecircle-circle-guard-bench/alternatives) ([ALERT markdown twin](/tools/babelscape-alert/alternatives.md), [circle-guard-bench markdown twin](/tools/whitecircle-circle-guard-bench/alternatives.md)), 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](/compare/babelscape-alert-vs-whitecircle-circle-guard-bench.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ALERT or circle-guard-bench? ALERT: 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 ALERT and circle-guard-bench? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ALERT trust report](/tools/babelscape-alert/trust); [circle-guard-bench trust report](/tools/whitecircle-circle-guard-bench/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=babelscape-alert`](/api/graphcanon/graph?tool=babelscape-alert) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_