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Comparison

code-eval vs lever

Verdict

Pick code-eval if code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability; pick lever if lever offers support for verifying language-to-code generation through actual code execution.

Markdown twin · code-eval alternatives · lever alternatives

GraphCanon updated Oct 7, 2026

code-eval logo

code-eval

abacaj/code-eval

★ 432pushed Sep 12, 2023
vs
lever logo

lever

niansong1996/lever

★ 89pushed Jul 5, 2023

Trust & integrity

Signalcode-evallever
Maintenance
Dormant (1120d since push)
As of Oct 6, 2026 · github_public_v1
Dormant (1189d since push)
As of Oct 7, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Oct 6, 2026 · github_public_v1
Not a fork · Personal account
As of Oct 7, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 11, 2026 · osv@v1
No published findings from this source as of 2026-07-11
As of Jul 11, 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
code-eval trust reportlever trust reportTrust methodology

Tagline

code-eval
Run evaluation on LLMs using human-eval benchmark.
lever
Supports learning to verify language-to-code generation with execution

Stars

code-eval
432
lever
89

Forks

code-eval
36
lever
8

Open issues

code-eval
5
lever
2

Language

code-eval
Python
lever
Python

Adopt for

code-eval
code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability.
lever
Lever offers support for verifying language-to-code generation through actual code execution.

Persona

code-eval
-
lever
-

Runtime

code-eval
-
lever
-

License

code-eval
MIT
lever
Lever's source code is freely available under an MIT License for modification and distribution in both personal and commercial projects.

Last pushed

code-eval
Sep 12, 2023
lever
Jul 5, 2023

Categories

code-eval
Evaluation & Observability
lever
Evaluation & Observability, Model Training

Trust and health

Days since push

code-eval
1120d
lever
1189d

Open issues (now)

code-eval
5
lever
2

Stars delta

code-eval
+1 (30d)
lever
-1 (30d)

OSV dependency advisories

code-eval
Published findings
lever
No published findings from this source as of 2026-07-11

Full report

code-eval
Trust report
lever
Trust report

Shared compatibility

  • Python · code-eval: Python runtime · lever: Python runtime

Choose code-eval if…

  • Tags unique to code-eval: humaneval, wizardcoder.
  • When you need clear comparisons of pass rates for different LLMs using standardized tests
  • More GitHub stars (432 vs 89) - visibility, not fit.

When NOT to use code-eval

  • If the tool's results do not correlate well with the official published benchmarks due to unknown prompt differences
  • For real-time or dynamic evaluations as this repo offers pre-computed static results only
GitHubDetails

Choose lever if…

  • Requirements: All of the pipelines have been tested on Linux machines only, requiring possibly custom `tree-sitter` parsers for other platforms..
  • Tags unique to lever: code verification, execution based verification, language-to-code.
  • Also covers Model Training.
  • When the development team needs to verify accuracy of generated code from language inputs based on execution, and has access to Linux machines to ensure seamless functionality.

When NOT to use lever

  • Avoid Lever if developing in an environment other than Linux as it requires the use of tree-sitter parsers, which may not be compatible with your system.
  • Do not choose Lever if you seek a tool that does not require setting up a conda environment and installing specific dependencies to operate.
GitHubDetails

Explore

code-eval trust report →lever trust report →Evaluation & Observability category →Model Training category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: code-eval 432 · lever 89 (synced Oct 6, 2026).

Common questions

What is the difference between code-eval and lever?
code-eval: Run evaluation on LLMs using human-eval benchmark.. lever: Supports learning to verify language-to-code generation with execution. See the comparison table for live GitHub stats and shared categories.
When should I choose code-eval over lever?
Choose code-eval over lever when Tags unique to code-eval: humaneval, wizardcoder; When you need clear comparisons of pass rates for different LLMs using standardized tests; More GitHub stars (432 vs 89) - visibility, not fit.
When should I choose lever over code-eval?
Choose lever over code-eval when Requirements: All of the pipelines have been tested on Linux machines only, requiring possibly custom tree-sitter parsers for other platforms.; Tags unique to lever: code verification, execution based verification, language-to-code; Also covers Model Training; When the development team needs to verify accuracy of generated code from language inputs based on execution, and has access to Linux machines to ensure seamless functionality.
When should I avoid code-eval?
If the tool's results do not correlate well with the official published benchmarks due to unknown prompt differences For real-time or dynamic evaluations as this repo offers pre-computed static results only
When should I avoid lever?
Avoid Lever if developing in an environment other than Linux as it requires the use of tree-sitter parsers, which may not be compatible with your system. Do not choose Lever if you seek a tool that does not require setting up a conda environment and installing specific dependencies to operate.
Is code-eval or lever more popular on GitHub?
code-eval has more GitHub stars (432 vs 89). Stars measure visibility, not whether either tool fits your constraints.
Are code-eval and lever open source?
Yes - both are open-source projects on GitHub (code-eval: MIT, lever: MIT).
Where can I find alternatives to code-eval or lever?
GraphCanon lists graph-backed alternatives at code-eval alternatives and lever alternatives (code-eval markdown twin, lever 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, code-eval or lever?
code-eval: Dormant. lever: Dormant. 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 code-eval and lever?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: code-eval trust report; lever trust report.

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