--- title: "academic-research-skills vs coca" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/imbad0202-academic-research-skills-vs-phodal-coca" tools: ["imbad0202-academic-research-skills", "phodal-coca"] --- # academic-research-skills vs coca *GraphCanon updated Sep 20, 2026* ## Verdict Pick academic-research-skills if a guide to utilizing Claude Code for AI-supported tasks in academic work such as prompt engineering during research writing phases; pick coca if coca is a comprehensive toolbox for analyzing and refactoring legacy systems using features such as call graph visualization, concept analysis, and design pattern suggestions. [academic-research-skills](https://buymeacoffee.com/crucify020v) reports 49k GitHub stars, 3.8k forks, and 35 open issues, last pushed Sep 19, 2026. [coca](https://coca.migration.ink/) has 989 stars, 117 forks, and 0 open issues, last pushed Jan 6, 2026. Figures are from public GitHub metadata via [academic-research-skills's repository](https://github.com/Imbad0202/academic-research-skills) and [coca's repository](https://github.com/phodal/coca). | | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) | [coca](/tools/phodal-coca.md) | | --- | --- | --- | | Tagline | Workflow for academic research and writing with AI tools | Toolbox for legacy system refactoring and analysis | | Stars | 48,777 | 989 | | Forks | 3,788 | 117 | | Open issues | 35 | 0 | | Language | Python | Go | | Adopt for | A guide to utilizing Claude Code for AI-supported tasks in academic work such as prompt engineering during research writing phases. | Coca is a comprehensive toolbox for analyzing and refactoring legacy systems using features such as call graph visualization, concept analysis, and design pattern suggestions. | | Persona | - | - | | Runtime | - | - | | License | Other | The Mozilla Public License version 2.0 applies to Coca, which offers a balance between open source freedom and ensuring contributions back to the community. | | Categories | Developer Tools, Evaluation & Observability | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) | [coca](/tools/phodal-coca.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 256d | | Open issues (now) | 35 | 0 | | Stars delta | +9.0k (30d) | -1 (30d) | | Open issues delta | +14 (30d) | 0 (30d) | | Full report | [trust report](/tools/imbad0202-academic-research-skills/trust.md) | [trust report](/tools/phodal-coca/trust.md) | ## Decision facts: academic-research-skills - **Adopt for:** A guide to utilizing Claude Code for AI-supported tasks in academic work such as prompt engineering during research writing phases. ## Decision facts: coca - **Pricing:** freemium - Coca is freely available under an open-source license (MPL-2.0). There are no paid versions or premium features listed. - **Adopt for:** Coca is a comprehensive toolbox for analyzing and refactoring legacy systems using features such as call graph visualization, concept analysis, and design pattern suggestions. - **License detail:** The Mozilla Public License version 2.0 applies to Coca, which offers a balance between open source freedom and ensuring contributions back to the community. ## Choose when ### Choose academic-research-skills if… - academic-research-skills is primarily Python; coca is Go. - License: academic-research-skills is Other, coca is MPL-2.0. - Tags unique to academic-research-skills: academic-research, academic-writing, ai-assisted-research, prompt-engineering. - Also covers Evaluation & Observability. - Research projects requiring detailed literature reviews ### Choose coca if… - coca is primarily Go; academic-research-skills is Python. - License: coca is MPL-2.0, academic-research-skills is Other. - Pricing: Coca is freely available under an open-source license (MPL-2.0). There are no paid versions or premium features listed.. - Tags unique to coca: ai, architecture, automation, git. - Use Coca when you are working with complex legacy Go applications that need detailed analysis of their architecture to facilitate informed refactoring decisions ## When NOT to use academic-research-skills - Tasks that do not involve academic or formal writing environments - Projects focused on learning Claude Code without an academic context - Situations where human judgment is prioritized over AI suggestions ## When NOT to use coca - Avoid using Coca for projects that do not involve Go language as it is specifically designed with this in mind - Do not use Coca if your primary concern is runtime performance analysis; its strengths lie in structural and architectural code analysis rather than performance profiling of running systems ## Common questions ### What is the difference between academic-research-skills and coca? academic-research-skills: Workflow for academic research and writing with AI tools. coca: Toolbox for legacy system refactoring and analysis. See the comparison table for live GitHub stats and shared categories. ### When should I choose academic-research-skills over coca? Choose academic-research-skills over coca when academic-research-skills is primarily Python; coca is Go; License: academic-research-skills is Other, coca is MPL-2.0; Tags unique to academic-research-skills: academic-research, academic-writing, ai-assisted-research, prompt-engineering; Also covers Evaluation & Observability; Research projects requiring detailed literature reviews. ### When should I choose coca over academic-research-skills? Choose coca over academic-research-skills when coca is primarily Go; academic-research-skills is Python; License: coca is MPL-2.0, academic-research-skills is Other; Pricing: Coca is freely available under an open-source license (MPL-2.0). There are no paid versions or premium features listed.; Tags unique to coca: ai, architecture, automation, git; Use Coca when you are working with complex legacy Go applications that need detailed analysis of their architecture to facilitate informed refactoring decisions. ### When should I avoid academic-research-skills? Tasks that do not involve academic or formal writing environments Projects focused on learning Claude Code without an academic context Situations where human judgment is prioritized over AI suggestions ### When should I avoid coca? Avoid using Coca for projects that do not involve Go language as it is specifically designed with this in mind Do not use Coca if your primary concern is runtime performance analysis; its strengths lie in structural and architectural code analysis rather than performance profiling of running systems ### Is academic-research-skills or coca more popular on GitHub? academic-research-skills has more GitHub stars (48,777 vs 989). Stars measure visibility, not whether either tool fits your constraints. ### Are academic-research-skills and coca open source? Yes - both are open-source projects on GitHub (academic-research-skills: Other, coca: MPL-2.0). ### Where can I find alternatives to academic-research-skills or coca? GraphCanon lists graph-backed alternatives at [academic-research-skills alternatives](/tools/imbad0202-academic-research-skills/alternatives) and [coca alternatives](/tools/phodal-coca/alternatives) ([academic-research-skills markdown twin](/tools/imbad0202-academic-research-skills/alternatives.md), [coca markdown twin](/tools/phodal-coca/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-phodal-coca.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 coca? academic-research-skills: Very active. coca: 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 coca? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [academic-research-skills trust report](/tools/imbad0202-academic-research-skills/trust); [coca trust report](/tools/phodal-coca/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/_