Home/Compare/LeanCopilot vs awesome-LLM-resources

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

LeanCopilot logo

LeanCopilot

lean-dojo/LeanCopilot

★ 1.3kpushed Sep 18, 2026
vs
awesome-LLM-resources logo

awesome-LLM-resources

WangRongsheng/awesome-LLM-resources

★ 9.0kpushed Sep 14, 2026

Trust & integrity

SignalLeanCopilotawesome-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 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.

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