Comparison
LeanCopilot vs awesome-LLM-resources
Verdict
Pick LeanCopilot if a system that leverages large language models for theorem proving in the Lean environment; pick awesome-LLM-resources if awesome-LLM-resources is a curated list of resources related to large language models, covering a wide range of topics from multimodal generation to model training and inference.
Markdown twin · LeanCopilot alternatives · awesome-LLM-resources alternatives
GraphCanon updated Sep 20, 2026
15views this month
Trust & integrity
| Signal | LeanCopilot | awesome-LLM-resources |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 19, 2026 · github_public_v1 | Very active (3d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 19, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- LeanCopilot
- LLMs as Copilots for Theorem Proving in Lean
- awesome-LLM-resources
- Summary of the world's best LLM resources.
Stars
- LeanCopilot
- 1.3k
- awesome-LLM-resources
- 9.0k
Forks
- LeanCopilot
- 129
- awesome-LLM-resources
- 993
Open issues
- LeanCopilot
- 0
- awesome-LLM-resources
- 40
Language
- LeanCopilot
- C++
- awesome-LLM-resources
- -
Adopt for
- LeanCopilot
- A system that leverages large language models for theorem proving in the Lean environment.
- awesome-LLM-resources
- awesome-LLM-resources is a curated list of resources related to large language models, covering a wide range of topics from multimodal generation to model training and inference.
Persona
- LeanCopilot
- -
- awesome-LLM-resources
- -
Runtime
- LeanCopilot
- -
- awesome-LLM-resources
- -
License
- LeanCopilot
- MIT
- awesome-LLM-resources
- The repository is licensed under Apache-2.0, allowing for free use, modification, and distribution.
Last pushed
- LeanCopilot
- Sep 18, 2026
- awesome-LLM-resources
- Sep 14, 2026
Categories
- LeanCopilot
- AI Agents, LLM Frameworks
- awesome-LLM-resources
- AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Days since push
- LeanCopilot
- 0d
- awesome-LLM-resources
- 3d
Open issues (now)
- LeanCopilot
- 0
- awesome-LLM-resources
- 40
Stars delta
- LeanCopilot
- +19 (30d)
- awesome-LLM-resources
- +123 (30d)
Open issues delta
- LeanCopilot
- -5 (30d)
- awesome-LLM-resources
- +17 (30d)
Owner type
- LeanCopilot
- Organization
- awesome-LLM-resources
- User
Full report
- LeanCopilot
- Trust report
- awesome-LLM-resources
- Trust report
Choose LeanCopilot if…
- License: LeanCopilot is MIT, awesome-LLM-resources is Apache-2.0.
- Tags unique to LeanCopilot: formal-mathematics, lean, lean4, llm-inference.
- LeanCopilot ships Docker support for self-hosted deployment.
- Need support with formal proof development in Lean or Lean4 specifically
When NOT to use LeanCopilot
- Working exclusively in theorem provers other than Lean or Lean4
- Looking for general-purpose AI programming assistant beyond Lean's domain
Choose awesome-LLM-resources if…
- License: awesome-LLM-resources is Apache-2.0, LeanCopilot is MIT.
- Pricing: The repository itself is free to use, but some linked resources may require payment or have associated costs..
- Requirements: The repository does not specify any technical requirements for accessing its content..
- Tags unique to awesome-LLM-resources: awesome-list, book, course, large-language-models.
- Also covers Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training.
- When you need a comprehensive list of resources for large language models, including multimodal generation, agents, programming assistance, and more.
When NOT to use awesome-LLM-resources
- If you are looking for a tool that provides direct access to LLM APIs or services, as this repository is a list of resources rather than a service provider.
- When you need real-time support or a community forum for troubleshooting LLM-related issues, as this repository is a static list of resources without interactive support.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (lean-dojo/LeanCopilot) · observed Sep 20, 2026
- GitHub forks (lean-dojo/LeanCopilot) · observed Sep 20, 2026
- Last push (lean-dojo/LeanCopilot) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (WangRongsheng/awesome-LLM-resources) · observed Sep 20, 2026
- GitHub forks (WangRongsheng/awesome-LLM-resources) · observed Sep 20, 2026
- Last push (WangRongsheng/awesome-LLM-resources) · observed Sep 14, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: LeanCopilot 1.3k · awesome-LLM-resources 9.0k (synced Sep 20, 2026).
Common questions
- What is the difference between LeanCopilot and awesome-LLM-resources?
- LeanCopilot: LLMs as Copilots for Theorem Proving in Lean. awesome-LLM-resources: Summary of the world's best LLM resources.. See the comparison table for live GitHub stats and shared categories.
- When should I choose LeanCopilot over awesome-LLM-resources?
- Choose LeanCopilot over awesome-LLM-resources when License: LeanCopilot is MIT, awesome-LLM-resources is Apache-2.0; Tags unique to LeanCopilot: formal-mathematics, lean, lean4, llm-inference; LeanCopilot ships Docker support for self-hosted deployment; Need support with formal proof development in Lean or Lean4 specifically.
- When should I choose awesome-LLM-resources over LeanCopilot?
- Choose awesome-LLM-resources over LeanCopilot when License: awesome-LLM-resources is Apache-2.0, LeanCopilot is MIT; Pricing: The repository itself is free to use, but some linked resources may require payment or have associated costs.; Requirements: The repository does not specify any technical requirements for accessing its content.; Tags unique to awesome-LLM-resources: awesome-list, book, course, large-language-models; Also covers Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training; When you need a comprehensive list of resources for large language models, including multimodal generation, agents, programming assistance, and more.
- When should I avoid LeanCopilot?
- Working exclusively in theorem provers other than Lean or Lean4 Looking for general-purpose AI programming assistant beyond Lean's domain
- When should I avoid awesome-LLM-resources?
- If you are looking for a tool that provides direct access to LLM APIs or services, as this repository is a list of resources rather than a service provider. When you need real-time support or a community forum for troubleshooting LLM-related issues, as this repository is a static list of resources without interactive support.
- Is LeanCopilot or awesome-LLM-resources more popular on GitHub?
- awesome-LLM-resources has more GitHub stars (8,968 vs 1,322). Stars measure visibility, not whether either tool fits your constraints.
- Are LeanCopilot and awesome-LLM-resources open source?
- Yes - both are open-source projects on GitHub (LeanCopilot: MIT, awesome-LLM-resources: Apache-2.0).
- Where can I find alternatives to LeanCopilot or awesome-LLM-resources?
- GraphCanon lists graph-backed alternatives at LeanCopilot alternatives and awesome-LLM-resources alternatives (LeanCopilot markdown twin, awesome-LLM-resources markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, LeanCopilot or awesome-LLM-resources?
- LeanCopilot: Very active. awesome-LLM-resources: 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 LeanCopilot and awesome-LLM-resources?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LeanCopilot trust report; awesome-LLM-resources trust report.