--- title: "awesome-evals vs tutor-gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/benchflow-ai-awesome-evals-vs-plastic-labs-tutor-gpt" tools: ["benchflow-ai-awesome-evals", "plastic-labs-tutor-gpt"] --- # awesome-evals vs tutor-gpt *GraphCanon updated Aug 15, 2026* ## Verdict Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; pick tutor-gpt if tutor-gpt - AI tutor with Theory-of-Mind for personalized education. [awesome-evals](https://github.com/benchflow-ai/awesome-evals) reports 761 GitHub stars, 71 forks, and 21 open issues, last pushed Jul 1, 2026. [tutor-gpt](https://discord.gg/plasticlabs) has 921 stars, 99 forks, and 4 open issues, last pushed Feb 20, 2026. Figures are from public GitHub metadata via [awesome-evals's repository](https://github.com/benchflow-ai/awesome-evals) and [tutor-gpt's repository](https://github.com/plastic-labs/tutor-gpt). | | [awesome-evals](/tools/benchflow-ai-awesome-evals.md) | [tutor-gpt](/tools/plastic-labs-tutor-gpt.md) | | --- | --- | --- | | Tagline | A curated library of resources for building and evaluating AI agents | AI tutor powered by Theory-of-Mind reasoning | | Stars | 761 | 921 | | Forks | 71 | 99 | | Open issues | 21 | 4 | | Language | - | TypeScript | | Adopt for | Curated resources for AI agent evaluation with BenchFlow backing its maintenance | tutor-gpt - AI tutor with Theory-of-Mind for personalized education | | Persona | - | - | | Runtime | - | - | | License | Other | GPL-3.0 | | Categories | AI Agents, Evaluation & Observability | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-evals](/tools/benchflow-ai-awesome-evals.md) | [tutor-gpt](/tools/plastic-labs-tutor-gpt.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 26d | 175d | | Open issues (now) | 21 | 4 | | Stars delta | Unknown | +8 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/benchflow-ai-awesome-evals/trust.md) | [trust report](/tools/plastic-labs-tutor-gpt/trust.md) | ## Decision facts: awesome-evals - **Adopt for:** Curated resources for AI agent evaluation with BenchFlow backing its maintenance ## Decision facts: tutor-gpt - **Adopt for:** tutor-gpt - AI tutor with Theory-of-Mind for personalized education ## Choose when ### Choose awesome-evals if… - License: awesome-evals is Other, tutor-gpt is GPL-3.0. - 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 tutor-gpt if… - License: tutor-gpt is GPL-3.0, awesome-evals is Other. - Tags unique to tutor-gpt: ai, education, hacktoberfest, literacy. - Also covers LLM Frameworks. - tutor-gpt ships Docker support for self-hosted deployment. - For creating an educational experience that adapts to the cognitive and emotional state of students ## 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 tutor-gpt - If looking for a tool focused solely on content delivery without personalized reasoning capabilities - Projects requiring closed-source or proprietary licensing, as tutor-gpt uses the GPL-3.0 open-source license ## Common questions ### What is the difference between awesome-evals and tutor-gpt? awesome-evals: A curated library of resources for building and evaluating AI agents. tutor-gpt: AI tutor powered by Theory-of-Mind reasoning. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-evals over tutor-gpt? Choose awesome-evals over tutor-gpt when License: awesome-evals is Other, tutor-gpt is GPL-3.0; 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 tutor-gpt over awesome-evals? Choose tutor-gpt over awesome-evals when License: tutor-gpt is GPL-3.0, awesome-evals is Other; Tags unique to tutor-gpt: ai, education, hacktoberfest, literacy; Also covers LLM Frameworks; tutor-gpt ships Docker support for self-hosted deployment; For creating an educational experience that adapts to the cognitive and emotional state of students. ### 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 tutor-gpt? If looking for a tool focused solely on content delivery without personalized reasoning capabilities Projects requiring closed-source or proprietary licensing, as tutor-gpt uses the GPL-3.0 open-source license ### Is awesome-evals or tutor-gpt more popular on GitHub? tutor-gpt has more GitHub stars (921 vs 761). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-evals and tutor-gpt open source? Yes - both are open-source projects on GitHub (awesome-evals: Other, tutor-gpt: GPL-3.0). ### Where can I find alternatives to awesome-evals or tutor-gpt? GraphCanon lists graph-backed alternatives at [awesome-evals alternatives](/tools/benchflow-ai-awesome-evals/alternatives) and [tutor-gpt alternatives](/tools/plastic-labs-tutor-gpt/alternatives) ([awesome-evals markdown twin](/tools/benchflow-ai-awesome-evals/alternatives.md), [tutor-gpt markdown twin](/tools/plastic-labs-tutor-gpt/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-plastic-labs-tutor-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-evals or tutor-gpt? awesome-evals: Active. tutor-gpt: 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 awesome-evals and tutor-gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-evals trust report](/tools/benchflow-ai-awesome-evals/trust); [tutor-gpt trust report](/tools/plastic-labs-tutor-gpt/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/_