Home/Compare/LeanEuclid vs ai-berkshire

Comparison

LeanEuclid vs ai-berkshire

Verdict

Pick LeanEuclid if decision-relevant specifics for LeanEuclid, a benchmark tailored for autoformalization in Euclidean geometry within the Lean proof assistant ecosystem; pick ai-berkshire if ai-berkshire implements a unique approach to value investing research through AI agents powered by Claude Code/Codex, inspired by the methodologies of Warren Buffett and Charlie Munger amongst other investors. The tool's.

Markdown twin · LeanEuclid alternatives · ai-berkshire alternatives

GraphCanon updated 3w

LeanEuclid logo

LeanEuclid

loganrjmurphy/LeanEuclid

139pushed Nov 25, 2025
vs
ai-berkshire logo

ai-berkshire

xbtlin/ai-berkshire

14kpushed Jul 25, 2026

Trust & integrity

SignalLeanEuclidai-berkshire
Maintenance
Slowing (245d since push)
As of 3w · github_public_v1
Very active (0d since push)
As of 4w · github_public_v1
Provenance
Not a fork · Personal account
As of 3w · github_public_v1
Not a fork · Personal account
As of 4w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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

LeanEuclid
Benchmark for autoformalization in Euclidean geometry targeting Lean proof assistant.
ai-berkshire
AI-era Berkshire: a value investing research framework utilizing Claude Code / Codex with methodologies from Warren Buffett, Charlie Munger among others and multi-Agent adversarial analysis.

Stars

LeanEuclid
139
ai-berkshire
14k

Forks

LeanEuclid
17
ai-berkshire
2.0k

Open issues

LeanEuclid
5
ai-berkshire
29

Language

LeanEuclid
Lean
ai-berkshire
Python

Adopt for

LeanEuclid
Decision-relevant specifics for LeanEuclid, a benchmark tailored for autoformalization in Euclidean geometry within the Lean proof assistant ecosystem.
ai-berkshire
ai-berkshire implements a unique approach to value investing research through AI agents powered by Claude Code/Codex, inspired by the methodologies of Warren Buffett and Charlie Munger amongst other investors. The tool's

Persona

LeanEuclid
-
ai-berkshire
-

Runtime

LeanEuclid
-
ai-berkshire
-

License

LeanEuclid
MIT
ai-berkshire
MIT

Last pushed

LeanEuclid
Nov 25, 2025
ai-berkshire
Jul 25, 2026

Categories

LeanEuclid
Evaluation & Observability
ai-berkshire
AI Agents, Evaluation & Observability

Trust and health

Maintenance

LeanEuclid
Slowing (36%)
ai-berkshire
Very active (96%)

Days since push

LeanEuclid
245d
ai-berkshire
0d

Open issues (now)

LeanEuclid
5
ai-berkshire
29

Full report

LeanEuclid
Trust report
ai-berkshire
Trust report

Choose LeanEuclid if…

  • LeanEuclid is primarily Lean; ai-berkshire is Python.
  • 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 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

Choose ai-berkshire if…

  • ai-berkshire is primarily Python; LeanEuclid is Lean.
  • Tags unique to ai-berkshire: ai, financial-analysis, investment-research, portfolio-management.
  • Also covers AI Agents.
  • You need to leverage multi-Agent adversarial analysis for deep fundamental stock market assessment aligned with renowned investor philosophies.

When NOT to use ai-berkshire

  • If your investment research requires real-time trading data or dynamic algorithmic trading strategies which are not the tool's expertise.
  • When you prefer a more manual or traditional approach to value investing that does not integrate AI-driven adversarial agent methodologies.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: LeanEuclid 139 · ai-berkshire 14k (synced Jul 29, 2026).

Common questions

What is the difference between LeanEuclid and ai-berkshire?
LeanEuclid: Benchmark for autoformalization in Euclidean geometry targeting Lean proof assistant.. ai-berkshire: AI-era Berkshire: a value investing research framework utilizing Claude Code / Codex with methodologies from Warren Buffett, Charlie Munger among others and multi-Agent adversarial analysis.. See the comparison table for live GitHub stats and shared categories.
When should I choose LeanEuclid over ai-berkshire?
Choose LeanEuclid over ai-berkshire when LeanEuclid is primarily Lean; ai-berkshire is Python; 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 choose ai-berkshire over LeanEuclid?
Choose ai-berkshire over LeanEuclid when ai-berkshire is primarily Python; LeanEuclid is Lean; Tags unique to ai-berkshire: ai, financial-analysis, investment-research, portfolio-management; Also covers AI Agents; You need to leverage multi-Agent adversarial analysis for deep fundamental stock market assessment aligned with renowned investor philosophies.
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
When should I avoid ai-berkshire?
If your investment research requires real-time trading data or dynamic algorithmic trading strategies which are not the tool's expertise. When you prefer a more manual or traditional approach to value investing that does not integrate AI-driven adversarial agent methodologies.
Is LeanEuclid or ai-berkshire more popular on GitHub?
ai-berkshire has more GitHub stars (14,138 vs 139). Stars measure visibility, not whether either tool fits your constraints.
Are LeanEuclid and ai-berkshire open source?
Yes - both are open-source projects on GitHub (LeanEuclid: MIT, ai-berkshire: MIT).
Where can I find alternatives to LeanEuclid or ai-berkshire?
GraphCanon lists graph-backed alternatives at LeanEuclid alternatives and ai-berkshire alternatives (LeanEuclid markdown twin, ai-berkshire 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, LeanEuclid or ai-berkshire?
LeanEuclid: Slowing. ai-berkshire: 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 LeanEuclid and ai-berkshire?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LeanEuclid trust report; ai-berkshire trust report.

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