--- title: "awesome-evals vs sad" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/benchflow-ai-awesome-evals-vs-lrudl-sad" tools: ["benchflow-ai-awesome-evals", "lrudl-sad"] --- # awesome-evals vs sad *GraphCanon updated Sep 20, 2026* ## Verdict Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; pick sad if situational Awareness Dataset is a resource for llm-evaluation and ml topics under CC-BY-4.0 license. [awesome-evals](https://github.com/benchflow-ai/awesome-evals) reports 900 GitHub stars, 104 forks, and 34 open issues, last pushed Sep 15, 2026. [sad](https://situational-awareness-dataset.org/) has 55 stars, 8 forks, and 5 open issues, last pushed Dec 14, 2024. Figures are from public GitHub metadata via [awesome-evals's repository](https://github.com/benchflow-ai/awesome-evals) and [sad's repository](https://github.com/LRudL/sad). | | [awesome-evals](/tools/benchflow-ai-awesome-evals.md) | [sad](/tools/lrudl-sad.md) | | --- | --- | --- | | Tagline | A curated library of resources for building and evaluating AI agents | Situational Awareness Dataset | | Stars | 900 | 55 | | Forks | 104 | 8 | | Open issues | 34 | 5 | | Language | - | HTML | | Adopt for | Curated resources for AI agent evaluation with BenchFlow backing its maintenance | Situational Awareness Dataset is a resource for llm-evaluation and ml topics under CC-BY-4.0 license. | | Persona | - | - | | Runtime | - | - | | License | Other | CC-BY-4.0 | | Categories | AI Agents, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-evals](/tools/benchflow-ai-awesome-evals.md) | [sad](/tools/lrudl-sad.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 4d | 634d | | Open issues (now) | 34 | 5 | | Stars delta | +139 (30d) | +2 (30d) | | Open issues delta | +13 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/benchflow-ai-awesome-evals/trust.md) | [trust report](/tools/lrudl-sad/trust.md) | ## Decision facts: awesome-evals - **Adopt for:** Curated resources for AI agent evaluation with BenchFlow backing its maintenance ## Decision facts: sad - **Adopt for:** Situational Awareness Dataset is a resource for llm-evaluation and ml topics under CC-BY-4.0 license. ## Choose when ### Choose awesome-evals if… - License: awesome-evals is Other, sad is CC-BY-4.0. - Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks. - Also covers AI Agents. - Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation ### Choose sad if… - License: sad is CC-BY-4.0, awesome-evals is Other. - Tags unique to sad: dataset, ml. - When Python 3.12 or similar recent versions are available ## When NOT to use awesome-evals - Require real-time interactive support or direct tool integrations not covered by a static resource list - Seeking proprietary tools from specific vendors rather than open resources and community content ## When NOT to use sad - If you require a tool with interactive features beyond dataset provision - In environments restricted to languages other than HTML and Python ## Common questions ### What is the difference between awesome-evals and sad? awesome-evals: A curated library of resources for building and evaluating AI agents. sad: Situational Awareness Dataset. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-evals over sad? Choose awesome-evals over sad when License: awesome-evals is Other, sad is CC-BY-4.0; Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks; Also covers AI Agents; Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation. ### When should I choose sad over awesome-evals? Choose sad over awesome-evals when License: sad is CC-BY-4.0, awesome-evals is Other; Tags unique to sad: dataset, ml; When Python 3.12 or similar recent versions are available. ### When should I avoid awesome-evals? Require real-time interactive support or direct tool integrations not covered by a static resource list Seeking proprietary tools from specific vendors rather than open resources and community content ### When should I avoid sad? If you require a tool with interactive features beyond dataset provision In environments restricted to languages other than HTML and Python ### Is awesome-evals or sad more popular on GitHub? awesome-evals has more GitHub stars (900 vs 55). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-evals and sad open source? Yes - both are open-source projects on GitHub (awesome-evals: Other, sad: CC-BY-4.0). ### Where can I find alternatives to awesome-evals or sad? GraphCanon lists graph-backed alternatives at [awesome-evals alternatives](/tools/benchflow-ai-awesome-evals/alternatives) and [sad alternatives](/tools/lrudl-sad/alternatives) ([awesome-evals markdown twin](/tools/benchflow-ai-awesome-evals/alternatives.md), [sad markdown twin](/tools/lrudl-sad/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/benchflow-ai-awesome-evals-vs-lrudl-sad.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-evals or sad? awesome-evals: Very active. sad: Dormant. 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-evals and sad? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-evals trust report](/tools/benchflow-ai-awesome-evals/trust); [sad trust report](/tools/lrudl-sad/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=benchflow-ai-awesome-evals`](/api/graphcanon/graph?tool=benchflow-ai-awesome-evals) - 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/_