---
title: "academic-research-skills vs Awesome-LLM-Eval"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/imbad0202-academic-research-skills-vs-onejune2018-awesome-llm-eval"
tools: ["imbad0202-academic-research-skills", "onejune2018-awesome-llm-eval"]
---

# academic-research-skills vs Awesome-LLM-Eval

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick academic-research-skills when license: academic-research-skills is Other, Awesome-LLM-Eval is MIT; pick Awesome-LLM-Eval when license: Awesome-LLM-Eval is MIT, academic-research-skills is Other.

[academic-research-skills](https://buymeacoffee.com/crucify020v) reports 37k GitHub stars, 3.0k forks, and 9 open issues, last pushed Jul 11, 2026. [Awesome-LLM-Eval](https://arxiv.org/abs/2508.18646) has 648 stars, 78 forks, and 38 open issues, last pushed Nov 24, 2025. Figures are from public GitHub metadata via [academic-research-skills's repository](https://github.com/Imbad0202/academic-research-skills) and [Awesome-LLM-Eval's repository](https://github.com/onejune2018/Awesome-LLM-Eval).

| | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) | [Awesome-LLM-Eval](/tools/onejune2018-awesome-llm-eval.md) |
| --- | --- | --- |
| Tagline | Academic Research Skills for Claude Code: research → write → review → revise → finalize | Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表，主要面向基础大模型评测，旨在探求生成式AI的技术边界. |
| Stars | 37,300 | 648 |
| Forks | 3,043 | 78 |
| Open issues | 9 | 38 |
| Language | Python | - |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | Other | MIT |
| Categories | LLM Frameworks, Data & Retrieval | LLM Frameworks, Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) | [Awesome-LLM-Eval](/tools/onejune2018-awesome-llm-eval.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Slowing (36%) |
| Days since push | 0d | 229d |
| Open issues (now) | 9 | 38 |
| Full report | [trust report](/tools/imbad0202-academic-research-skills/trust.md) | [trust report](/tools/onejune2018-awesome-llm-eval/trust.md) |

## Choose when

### Choose academic-research-skills if…

- License: academic-research-skills is Other, Awesome-LLM-Eval is MIT.
- Tags unique to academic-research-skills: peer-review, academic-writing, ai-research, claude.
- Also covers Data & Retrieval.

### Choose Awesome-LLM-Eval if…

- License: Awesome-LLM-Eval is MIT, academic-research-skills is Other.
- Tags unique to Awesome-LLM-Eval: bert, evaluation, dataset, benchmark.
- Also covers Evaluation & Observability.

## 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.

## When NOT to use Awesome-LLM-Eval

- Last GitHub push was 230 days ago (slowing maintenance, Nov 24, 2025). Validate activity before betting a new project on Awesome-LLM-Eval.
- 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.

## Common questions

### What is the difference between academic-research-skills and Awesome-LLM-Eval?

academic-research-skills: Academic Research Skills for Claude Code: research → write → review → revise → finalize. Awesome-LLM-Eval: Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表，主要面向基础大模型评测，旨在探求生成式AI的技术边界.. See the comparison table for live GitHub stats and shared categories.

### When should I choose academic-research-skills over Awesome-LLM-Eval?

Choose academic-research-skills over Awesome-LLM-Eval when License: academic-research-skills is Other, Awesome-LLM-Eval is MIT; Tags unique to academic-research-skills: peer-review, academic-writing, ai-research, claude; Also covers Data & Retrieval.

### When should I choose Awesome-LLM-Eval over academic-research-skills?

Choose Awesome-LLM-Eval over academic-research-skills when License: Awesome-LLM-Eval is MIT, academic-research-skills is Other; Tags unique to Awesome-LLM-Eval: bert, evaluation, dataset, benchmark; Also covers Evaluation & Observability.

### 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.

### When should I avoid Awesome-LLM-Eval?

Last GitHub push was 230 days ago (slowing maintenance, Nov 24, 2025). Validate activity before betting a new project on Awesome-LLM-Eval. 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.

### Is academic-research-skills or Awesome-LLM-Eval more popular on GitHub?

academic-research-skills has more GitHub stars (37,300 vs 648). Stars measure visibility, not whether either tool fits your constraints.

### Are academic-research-skills and Awesome-LLM-Eval open source?

Yes - both are open-source projects on GitHub (academic-research-skills: Other, Awesome-LLM-Eval: MIT).

### Where can I find alternatives to academic-research-skills or Awesome-LLM-Eval?

GraphCanon lists graph-backed alternatives at [academic-research-skills alternatives](/tools/imbad0202-academic-research-skills/alternatives) and [Awesome-LLM-Eval alternatives](/tools/onejune2018-awesome-llm-eval/alternatives) ([academic-research-skills markdown twin](/tools/imbad0202-academic-research-skills/alternatives.md), [Awesome-LLM-Eval markdown twin](/tools/onejune2018-awesome-llm-eval/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/imbad0202-academic-research-skills-vs-onejune2018-awesome-llm-eval.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, academic-research-skills or Awesome-LLM-Eval?

academic-research-skills: Very active. Awesome-LLM-Eval: 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 academic-research-skills and Awesome-LLM-Eval?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [academic-research-skills trust report](/tools/imbad0202-academic-research-skills/trust); [Awesome-LLM-Eval trust report](/tools/onejune2018-awesome-llm-eval/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=imbad0202-academic-research-skills`](/api/graphcanon/graph?tool=imbad0202-academic-research-skills)
- 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/_