--- title: "awesome-ai-safety vs iFixAi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/giskard-ai-awesome-ai-safety-vs-ifixai-ai-ifixai" tools: ["giskard-ai-awesome-ai-safety", "ifixai-ai-ifixai"] --- # awesome-ai-safety vs iFixAi *GraphCanon updated Sep 25, 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 iFixAi if iFixAi assesses AI models using 45 inspections for safety and alignment, returning grades in minutes. [awesome-ai-safety](https://giskard.ai) reports 222 GitHub stars, 43 forks, and 21 open issues, last pushed Apr 14, 2025. [iFixAi](https://www.ifixai.ai) has 16k stars, 1.3k forks, and 1 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [awesome-ai-safety's repository](https://github.com/Giskard-AI/awesome-ai-safety) and [iFixAi's repository](https://github.com/ifixai-ai/iFixAi). | | [awesome-ai-safety](/tools/giskard-ai-awesome-ai-safety.md) | [iFixAi](/tools/ifixai-ai-ifixai.md) | | --- | --- | --- | | Tagline | A curated list of papers and technical articles on AI Quality & Safety | Tool for evaluating and grading AI models on safety and alignment metrics | | Stars | 222 | 15,616 | | Forks | 43 | 1,335 | | Open issues | 21 | 1 | | Language | - | Python | | 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. | iFixAi assesses AI models using 45 inspections for safety and alignment, returning grades in minutes. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-ai-safety](/tools/giskard-ai-awesome-ai-safety.md) | [iFixAi](/tools/ifixai-ai-ifixai.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 528d | 1d | | Open issues (now) | 21 | 1 | | Stars delta | +2 (30d) | +12k (30d) | | Open issues delta | +4 (30d) | +1 (30d) | | Full report | [trust report](/tools/giskard-ai-awesome-ai-safety/trust.md) | [trust report](/tools/ifixai-ai-ifixai/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: iFixAi - **Adopt for:** iFixAi assesses AI models using 45 inspections for safety and alignment, returning grades in minutes. ## Choose when ### Choose awesome-ai-safety if… - 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-quality, computer-vision, ethical ai. - When you need an aggregated source to explore topics such as AI alignment, robustness, fairness in ML models. ### Choose iFixAi if… - Tags unique to iFixAi: agent-evaluation, ai-evaluation, diagnostic-tool, llm-evaluation. - You need a quick evaluation of an AI model's safety and alignment across industry standards - More GitHub stars (16k vs 222) - visibility, not fit. ## 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 iFixAi - If real-time assessment is necessary since iFixAi takes up to five minutes to return results - When detailed customization of inspection criteria beyond predefined checks is required ## Common questions ### What is the difference between awesome-ai-safety and iFixAi? awesome-ai-safety: A curated list of papers and technical articles on AI Quality & Safety. iFixAi: Tool for evaluating and grading AI models on safety and alignment metrics. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-ai-safety over iFixAi? Choose awesome-ai-safety over iFixAi when 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-quality, computer-vision, ethical ai; When you need an aggregated source to explore topics such as AI alignment, robustness, fairness in ML models. ### When should I choose iFixAi over awesome-ai-safety? Choose iFixAi over awesome-ai-safety when Tags unique to iFixAi: agent-evaluation, ai-evaluation, diagnostic-tool, llm-evaluation; You need a quick evaluation of an AI model's safety and alignment across industry standards; More GitHub stars (16k vs 222) - visibility, not fit. ### 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 iFixAi? If real-time assessment is necessary since iFixAi takes up to five minutes to return results When detailed customization of inspection criteria beyond predefined checks is required ### Is awesome-ai-safety or iFixAi more popular on GitHub? iFixAi has more GitHub stars (15,616 vs 222). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-ai-safety and iFixAi open source? Yes - both are open-source projects on GitHub (awesome-ai-safety: Apache-2.0, iFixAi: Apache-2.0). ### Where can I find alternatives to awesome-ai-safety or iFixAi? GraphCanon lists graph-backed alternatives at [awesome-ai-safety alternatives](/tools/giskard-ai-awesome-ai-safety/alternatives) and [iFixAi alternatives](/tools/ifixai-ai-ifixai/alternatives) ([awesome-ai-safety markdown twin](/tools/giskard-ai-awesome-ai-safety/alternatives.md), [iFixAi markdown twin](/tools/ifixai-ai-ifixai/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-ifixai-ai-ifixai.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 iFixAi? awesome-ai-safety: Dormant. iFixAi: 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 iFixAi? 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); [iFixAi trust report](/tools/ifixai-ai-ifixai/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/_