--- title: "academic-research-skills-codex vs LeanEuclid" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/imbad0202-academic-research-skills-codex-vs-loganrjmurphy-leaneuclid" tools: ["imbad0202-academic-research-skills-codex", "loganrjmurphy-leaneuclid"] --- # academic-research-skills-codex vs LeanEuclid *GraphCanon updated Sep 20, 2026* ## Verdict Pick academic-research-skills-codex if codex-native tools designed to streamline academic research processes through human-in-the-loop workflows. Written in Python and useful for tasks ranging from literature review to publication support; pick LeanEuclid if decision-relevant specifics for LeanEuclid, a benchmark tailored for autoformalization in Euclidean geometry within the Lean proof assistant ecosystem. [academic-research-skills-codex](https://github.com/Imbad0202/academic-research-skills) reports 11k GitHub stars, 488 forks, and 0 open issues, last pushed Sep 16, 2026. [LeanEuclid](http://arxiv.org/abs/2405.17216) has 141 stars, 20 forks, and 6 open issues, last pushed Aug 10, 2026. Figures are from public GitHub metadata via [academic-research-skills-codex's repository](https://github.com/Imbad0202/academic-research-skills-codex) and [LeanEuclid's repository](https://github.com/loganrjmurphy/LeanEuclid). | | [academic-research-skills-codex](/tools/imbad0202-academic-research-skills-codex.md) | [LeanEuclid](/tools/loganrjmurphy-leaneuclid.md) | | --- | --- | --- | | Tagline | Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows | Benchmark for autoformalization in Euclidean geometry targeting Lean proof assistant. | | Stars | 11,256 | 141 | | Forks | 488 | 20 | | Open issues | 0 | 6 | | Language | Python | Lean | | Adopt for | Codex-native tools designed to streamline academic research processes through human-in-the-loop workflows. Written in Python and useful for tasks ranging from literature review to publication support. | Decision-relevant specifics for LeanEuclid, a benchmark tailored for autoformalization in Euclidean geometry within the Lean proof assistant ecosystem. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Developer Tools, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [academic-research-skills-codex](/tools/imbad0202-academic-research-skills-codex.md) | [LeanEuclid](/tools/loganrjmurphy-leaneuclid.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 4d | 40d | | Open issues (now) | 0 | 6 | | Stars delta | +4.1k (30d) | +2 (30d) | | Open issues delta | -2 (30d) | +1 (30d) | | Full report | [trust report](/tools/imbad0202-academic-research-skills-codex/trust.md) | [trust report](/tools/loganrjmurphy-leaneuclid/trust.md) | ## Shared compatibility - **Python**: [academic-research-skills-codex](/tools/imbad0202-academic-research-skills-codex.md) - Python runtime; [LeanEuclid](/tools/loganrjmurphy-leaneuclid.md) - Python runtime ## Decision facts: academic-research-skills-codex - **Adopt for:** Codex-native tools designed to streamline academic research processes through human-in-the-loop workflows. Written in Python and useful for tasks ranging from literature review to publication support. ## Decision facts: LeanEuclid - **Requirements:** Requires a fully functional setup with Lean 4, including elan and Lean's VSCode extension; Installation of Z3 and CVC5 solvers is mandatory for effective use; Python dependencies such as `smt-portfolio` and `openai` need to be installed via pip; Setting up server environment paths in Lean’s VSCode extension correctly is essential for tool functionality - **Adopt for:** Decision-relevant specifics for LeanEuclid, a benchmark tailored for autoformalization in Euclidean geometry within the Lean proof assistant ecosystem. ## Choose when ### Choose academic-research-skills-codex if… - academic-research-skills-codex is primarily Python; LeanEuclid is Lean. - License: academic-research-skills-codex is Other, LeanEuclid is MIT. - Tags unique to academic-research-skills-codex: academic-pipeline, academic-research, academic-writing, ai research. - Also covers Developer Tools. - When your research involves heavy use of Codex technology, as this toolset is natively built around it, optimizing its functionalities. ### Choose LeanEuclid if… - LeanEuclid is primarily Lean; academic-research-skills-codex is Python. - License: LeanEuclid is MIT, academic-research-skills-codex is Other. - Requirements: Requires a fully functional setup with Lean 4, including elan and Lean's VSCode extension; Installation of Z3 and CVC5 solvers is mandatory for effective use; Python dependencies such as `smt-portfolio` and `openai` need to be installed via pip; Setting up server environment paths in Lean’s VSCode extension correctly is essential for tool functionality. - Tags unique to LeanEuclid: autoformalization, euclidean-geometry, formalization, lean4. - LeanEuclid ships Docker support for self-hosted deployment. - When you are specifically interested in advancing or testing automated theorem proving and formal verification techniques in Euclidean geometry using Lean 4 ## When NOT to use academic-research-skills-codex - If you are working in an environment where proprietary software tools are mandated and Python-based solutions are not acceptable or compliant. - When your research tasks do not require integration with Codex technology; using this toolset would add unnecessary complexity and learning curve if Codex is not part of your workflow. ## When NOT to use LeanEuclid - Avoid if you are working within a different proof assistant ecosystem unrelated to Lean 4 - Not suitable for benchmarking or developing autoformalization techniques outside the domain of Euclidean geometry ## Common questions ### What is the difference between academic-research-skills-codex and LeanEuclid? academic-research-skills-codex: Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows. LeanEuclid: Benchmark for autoformalization in Euclidean geometry targeting Lean proof assistant.. See the comparison table for live GitHub stats and shared categories. ### When should I choose academic-research-skills-codex over LeanEuclid? Choose academic-research-skills-codex over LeanEuclid when academic-research-skills-codex is primarily Python; LeanEuclid is Lean; License: academic-research-skills-codex is Other, LeanEuclid is MIT; Tags unique to academic-research-skills-codex: academic-pipeline, academic-research, academic-writing, ai research; Also covers Developer Tools; When your research involves heavy use of Codex technology, as this toolset is natively built around it, optimizing its functionalities. ### When should I choose LeanEuclid over academic-research-skills-codex? Choose LeanEuclid over academic-research-skills-codex when LeanEuclid is primarily Lean; academic-research-skills-codex is Python; License: LeanEuclid is MIT, academic-research-skills-codex is Other; Requirements: Requires a fully functional setup with Lean 4, including elan and Lean's VSCode extension; Installation of Z3 and CVC5 solvers is mandatory for effective use; Python dependencies such as `smt-portfolio` and `openai` need to be installed via pip; Setting up server environment paths in Lean’s VSCode extension correctly is essential for tool functionality; Tags unique to LeanEuclid: autoformalization, euclidean-geometry, formalization, lean4; LeanEuclid ships Docker support for self-hosted deployment; When you are specifically interested in advancing or testing automated theorem proving and formal verification techniques in Euclidean geometry using Lean 4. ### When should I avoid academic-research-skills-codex? If you are working in an environment where proprietary software tools are mandated and Python-based solutions are not acceptable or compliant. When your research tasks do not require integration with Codex technology; using this toolset would add unnecessary complexity and learning curve if Codex is not part of your workflow. ### When should I avoid LeanEuclid? Avoid if you are working within a different proof assistant ecosystem unrelated to Lean 4 Not suitable for benchmarking or developing autoformalization techniques outside the domain of Euclidean geometry ### Is academic-research-skills-codex or LeanEuclid more popular on GitHub? academic-research-skills-codex has more GitHub stars (11,256 vs 141). Stars measure visibility, not whether either tool fits your constraints. ### Are academic-research-skills-codex and LeanEuclid open source? Yes - both are open-source projects on GitHub (academic-research-skills-codex: Other, LeanEuclid: MIT). ### Where can I find alternatives to academic-research-skills-codex or LeanEuclid? GraphCanon lists graph-backed alternatives at [academic-research-skills-codex alternatives](/tools/imbad0202-academic-research-skills-codex/alternatives) and [LeanEuclid alternatives](/tools/loganrjmurphy-leaneuclid/alternatives) ([academic-research-skills-codex markdown twin](/tools/imbad0202-academic-research-skills-codex/alternatives.md), [LeanEuclid markdown twin](/tools/loganrjmurphy-leaneuclid/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-codex-vs-loganrjmurphy-leaneuclid.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, academic-research-skills-codex or LeanEuclid? academic-research-skills-codex: Very active. LeanEuclid: Steady. 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-codex and LeanEuclid? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [academic-research-skills-codex trust report](/tools/imbad0202-academic-research-skills-codex/trust); [LeanEuclid trust report](/tools/loganrjmurphy-leaneuclid/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=imbad0202-academic-research-skills-codex`](/api/graphcanon/graph?tool=imbad0202-academic-research-skills-codex) - 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/_