--- title: "awesome-ai-safety vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/giskard-ai-awesome-ai-safety-vs-sindresorhus-awesome" tools: ["giskard-ai-awesome-ai-safety", "sindresorhus-awesome"] --- # awesome-ai-safety vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick awesome-ai-safety when license: awesome-ai-safety is Apache-2.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, awesome-ai-safety is Apache-2.0. [awesome-ai-safety](https://giskard.ai) reports 218 GitHub stars, 38 forks, and 17 open issues, last pushed Apr 14, 2025. [awesome](https://github.com/sindresorhus/awesome) has 484k stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [awesome-ai-safety's repository](https://github.com/Giskard-AI/awesome-ai-safety) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [awesome-ai-safety](/tools/giskard-ai-awesome-ai-safety.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | 📚 A curated list of papers & technical articles on AI Quality & Safety | 😎 Curated list of awesome topics including hardware resources | | Stars | 218 | 484,026 | | Forks | 38 | 35,799 | | Open issues | 17 | 92 | | Language | - | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | CC0-1.0 | | Categories | Data & Retrieval, LLM Frameworks, Computer Vision | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-ai-safety](/tools/giskard-ai-awesome-ai-safety.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 452d | 11d | | Open issues (now) | 17 | 92 | | Owner type | Organization | User | | Full report | [trust report](/tools/giskard-ai-awesome-ai-safety/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Choose when ### Choose awesome-ai-safety if… - License: awesome-ai-safety is Apache-2.0, awesome is CC0-1.0. - Tags unique to awesome-ai-safety: awesome, ai-safety, ai-alignment, ai. - Also covers Data & Retrieval, Computer Vision. ### Choose awesome if… - License: awesome is CC0-1.0, awesome-ai-safety is Apache-2.0. - Tags unique to awesome: resources. - More GitHub stars (484k vs 218) - visibility, not fit. ## When NOT to use awesome-ai-safety - Last GitHub push was 453 days ago (dormant maintenance, Apr 14, 2025). Validate activity before betting a new project on awesome-ai-safety. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use awesome - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between awesome-ai-safety and awesome? awesome-ai-safety: 📚 A curated list of papers & technical articles on AI Quality & Safety. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-ai-safety over awesome? Choose awesome-ai-safety over awesome when License: awesome-ai-safety is Apache-2.0, awesome is CC0-1.0; Tags unique to awesome-ai-safety: awesome, ai-safety, ai-alignment, ai; Also covers Data & Retrieval, Computer Vision. ### When should I choose awesome over awesome-ai-safety? Choose awesome over awesome-ai-safety when License: awesome is CC0-1.0, awesome-ai-safety is Apache-2.0; Tags unique to awesome: resources; More GitHub stars (484k vs 218) - visibility, not fit. ### When should I avoid awesome-ai-safety? Last GitHub push was 453 days ago (dormant maintenance, Apr 14, 2025). Validate activity before betting a new project on awesome-ai-safety. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid awesome? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is awesome-ai-safety or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 218). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-ai-safety and awesome open source? Yes - both are open-source projects on GitHub (awesome-ai-safety: Apache-2.0, awesome: CC0-1.0). ### Where can I find alternatives to awesome-ai-safety or awesome? GraphCanon lists graph-backed alternatives at [awesome-ai-safety alternatives](/tools/giskard-ai-awesome-ai-safety/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([awesome-ai-safety markdown twin](/tools/giskard-ai-awesome-ai-safety/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/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-sindresorhus-awesome.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 awesome? awesome-ai-safety: Dormant. awesome: 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 awesome? 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); [awesome trust report](/tools/sindresorhus-awesome/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/_