--- title: "deepeval vs academic-research-skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/confident-ai-deepeval-vs-imbad0202-academic-research-skills" tools: ["confident-ai-deepeval", "imbad0202-academic-research-skills"] --- # deepeval vs academic-research-skills *GraphCanon updated Jul 11, 2026* ## Verdict Pick deepeval when license: deepeval is Apache-2.0, academic-research-skills is Other; pick academic-research-skills when license: academic-research-skills is Other, deepeval is Apache-2.0. [deepeval](https://deepeval.com) reports 17k GitHub stars, 1.6k forks, and 334 open issues, last pushed Jul 10, 2026. [academic-research-skills](https://buymeacoffee.com/crucify020v) has 37k stars, 3.0k forks, and 9 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [deepeval's repository](https://github.com/confident-ai/deepeval) and [academic-research-skills's repository](https://github.com/Imbad0202/academic-research-skills). | | [deepeval](/tools/confident-ai-deepeval.md) | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) | | --- | --- | --- | | Tagline | The LLM Evaluation Framework | Academic Research Skills for Claude Code: research → write → review → revise → finalize | | Stars | 16,767 | 37,300 | | Forks | 1,641 | 3,043 | | Open issues | 334 | 9 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | LLM Frameworks, Evaluation & Observability | LLM Frameworks, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [deepeval](/tools/confident-ai-deepeval.md) | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) | | --- | --- | --- | | Open issues (now) | 334 | 9 | | Owner type | Organization | User | | Full report | [trust report](/tools/confident-ai-deepeval/trust.md) | [trust report](/tools/imbad0202-academic-research-skills/trust.md) | ## Choose when ### Choose deepeval if… - License: deepeval is Apache-2.0, academic-research-skills is Other. - Tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics. - Also covers Evaluation & Observability. ### Choose academic-research-skills if… - License: academic-research-skills is Other, deepeval is Apache-2.0. - Tags unique to academic-research-skills: peer-review, academic-writing, ai-research, claude. - Also covers Data & Retrieval. ## When NOT to use deepeval - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## When NOT to use academic-research-skills - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ## Common questions ### What is the difference between deepeval and academic-research-skills? deepeval: The LLM Evaluation Framework. academic-research-skills: Academic Research Skills for Claude Code: research → write → review → revise → finalize. See the comparison table for live GitHub stats and shared categories. ### When should I choose deepeval over academic-research-skills? Choose deepeval over academic-research-skills when License: deepeval is Apache-2.0, academic-research-skills is Other; Tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics; Also covers Evaluation & Observability. ### When should I choose academic-research-skills over deepeval? Choose academic-research-skills over deepeval when License: academic-research-skills is Other, deepeval is Apache-2.0; Tags unique to academic-research-skills: peer-review, academic-writing, ai-research, claude; Also covers Data & Retrieval. ### When should I avoid deepeval? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### When should I avoid academic-research-skills? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ### Is deepeval or academic-research-skills more popular on GitHub? academic-research-skills has more GitHub stars (37,300 vs 16,767). Stars measure visibility, not whether either tool fits your constraints. ### Are deepeval and academic-research-skills open source? Yes - both are open-source projects on GitHub (deepeval: Apache-2.0, academic-research-skills: Other). ### Where can I find alternatives to deepeval or academic-research-skills? GraphCanon lists graph-backed alternatives at [deepeval alternatives](/tools/confident-ai-deepeval/alternatives) and [academic-research-skills alternatives](/tools/imbad0202-academic-research-skills/alternatives) ([deepeval markdown twin](/tools/confident-ai-deepeval/alternatives.md), [academic-research-skills markdown twin](/tools/imbad0202-academic-research-skills/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/confident-ai-deepeval-vs-imbad0202-academic-research-skills.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, deepeval or academic-research-skills? deepeval: Very active. academic-research-skills: 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 deepeval and academic-research-skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [deepeval trust report](/tools/confident-ai-deepeval/trust); [academic-research-skills trust report](/tools/imbad0202-academic-research-skills/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=confident-ai-deepeval`](/api/graphcanon/graph?tool=confident-ai-deepeval) - 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/_