--- title: "awesome-ai-safety vs frai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/giskard-ai-awesome-ai-safety-vs-sebuzdugan-frai" tools: ["giskard-ai-awesome-ai-safety", "sebuzdugan-frai"] --- # awesome-ai-safety vs frai *GraphCanon updated Sep 20, 2026* ## Verdict Pick awesome-ai-safety if awesome-ai-safety is a curated list of papers and technical articles focused on ensuring AI quality and safety across various machine learning domains including CV and NLP; pick frai if frai is an open-source toolkit that uses CLI and SDK to scan code for responsible AI development purposes, generating model cards, risk assessments, and evaluations. [awesome-ai-safety](https://giskard.ai) reports 221 GitHub stars, 41 forks, and 20 open issues, last pushed Apr 14, 2025. [frai](https://frai.cc/) has 53 stars, 4 forks, and 0 open issues, last pushed Sep 12, 2026. Figures are from public GitHub metadata via [awesome-ai-safety's repository](https://github.com/Giskard-AI/awesome-ai-safety) and [frai's repository](https://github.com/sebuzdugan/frai). | | [awesome-ai-safety](/tools/giskard-ai-awesome-ai-safety.md) | [frai](/tools/sebuzdugan-frai.md) | | --- | --- | --- | | Tagline | A curated list of papers and technical articles on AI Quality & Safety | A toolkit for responsible AI development that generates model cards, risk assessments, and evals via CLI and SDK. | | Stars | 221 | 53 | | Forks | 41 | 4 | | Open issues | 20 | 0 | | Language | - | JavaScript | | Adopt for | awesome-ai-safety is a curated list of papers and technical articles focused on ensuring AI quality and safety across various machine learning domains including CV and NLP. | frai is an open-source toolkit that uses CLI and SDK to scan code for responsible AI development purposes, generating model cards, risk assessments, and evaluations. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Evaluation & Observability | Developer Tools, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-ai-safety](/tools/giskard-ai-awesome-ai-safety.md) | [frai](/tools/sebuzdugan-frai.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 504d | 0d | | Open issues (now) | 20 | 0 | | Stars delta | +1 (30d) | 0 (30d) | | Open issues delta | +3 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/giskard-ai-awesome-ai-safety/trust.md) | [trust report](/tools/sebuzdugan-frai/trust.md) | ## Decision facts: awesome-ai-safety - **Pricing:** freemium - The repository is free to use under the Apache-2.0 license. However, external resources linked might have their own licensing terms or costs. - **Adopt for:** awesome-ai-safety is a curated list of papers and technical articles focused on ensuring AI quality and safety across various machine learning domains including CV and NLP. ## Decision facts: frai - **Adopt for:** frai is an open-source toolkit that uses CLI and SDK to scan code for responsible AI development purposes, generating model cards, risk assessments, and evaluations. ## Choose when ### Choose awesome-ai-safety if… - License: awesome-ai-safety is Apache-2.0, frai is MIT. - Pricing: The repository is free to use under the Apache-2.0 license. However, external resources linked might have their own licensing terms or costs.. - Tags unique to awesome-ai-safety: ai, ai-alignment, ai-quality, ai-safety. - When you need an aggregated source to explore topics such as AI alignment, robustness, fairness in ML models. ### Choose frai if… - License: frai is MIT, awesome-ai-safety is Apache-2.0. - Tags unique to frai: ai-compliance, audit, bias, evaluation. - Also covers Developer Tools. - Use when you need to comply with specific safety standards in AI projects using JavaScript framework. ## When NOT to use awesome-ai-safety - Not suitable if your requirement is a repository with hands-on coding examples rather than research papers and articles. - Avoid this resource if you are searching for datasets or tools that are not in the form of academic literature but practical utilities. - This platform may not provide sufficient guidance on hardware-specific testing, where practical constraints diverge from theoretical models. ## When NOT to use frai - Avoid if your development environment strictly requires non-JavaScript languages for tool integration. - Not advisable if automated governance and scanning tools are not aligned with organizational compliance policies. ## Common questions ### What is the difference between awesome-ai-safety and frai? awesome-ai-safety: A curated list of papers and technical articles on AI Quality & Safety. frai: A toolkit for responsible AI development that generates model cards, risk assessments, and evals via CLI and SDK.. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-ai-safety over frai? Choose awesome-ai-safety over frai when License: awesome-ai-safety is Apache-2.0, frai is MIT; Pricing: The repository is free to use under the Apache-2.0 license. However, external resources linked might have their own licensing terms or costs.; Tags unique to awesome-ai-safety: ai, ai-alignment, ai-quality, ai-safety; When you need an aggregated source to explore topics such as AI alignment, robustness, fairness in ML models. ### When should I choose frai over awesome-ai-safety? Choose frai over awesome-ai-safety when License: frai is MIT, awesome-ai-safety is Apache-2.0; Tags unique to frai: ai-compliance, audit, bias, evaluation; Also covers Developer Tools; Use when you need to comply with specific safety standards in AI projects using JavaScript framework. ### When should I avoid awesome-ai-safety? Not suitable if your requirement is a repository with hands-on coding examples rather than research papers and articles. Avoid this resource if you are searching for datasets or tools that are not in the form of academic literature but practical utilities. This platform may not provide sufficient guidance on hardware-specific testing, where practical constraints diverge from theoretical models. ### When should I avoid frai? Avoid if your development environment strictly requires non-JavaScript languages for tool integration. Not advisable if automated governance and scanning tools are not aligned with organizational compliance policies. ### Is awesome-ai-safety or frai more popular on GitHub? awesome-ai-safety has more GitHub stars (221 vs 53). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-ai-safety and frai open source? Yes - both are open-source projects on GitHub (awesome-ai-safety: Apache-2.0, frai: MIT). ### Where can I find alternatives to awesome-ai-safety or frai? GraphCanon lists graph-backed alternatives at [awesome-ai-safety alternatives](/tools/giskard-ai-awesome-ai-safety/alternatives) and [frai alternatives](/tools/sebuzdugan-frai/alternatives) ([awesome-ai-safety markdown twin](/tools/giskard-ai-awesome-ai-safety/alternatives.md), [frai markdown twin](/tools/sebuzdugan-frai/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/giskard-ai-awesome-ai-safety-vs-sebuzdugan-frai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-ai-safety or frai? awesome-ai-safety: Dormant. frai: Very active. 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 awesome-ai-safety and frai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-ai-safety trust report](/tools/giskard-ai-awesome-ai-safety/trust); [frai trust report](/tools/sebuzdugan-frai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=giskard-ai-awesome-ai-safety`](/api/graphcanon/graph?tool=giskard-ai-awesome-ai-safety) - 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/_