Home/Compare/code-eval vs LiveCodeBench

Comparison

code-eval vs LiveCodeBench

Verdict

Pick code-eval if code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability; pick LiveCodeBench if liveCodeBench offers an in-depth approach to evaluating large language models specifically for code tasks such as generation and repair.

Markdown twin · code-eval alternatives · LiveCodeBench alternatives

GraphCanon updated Oct 8, 2026

code-eval logo

code-eval

abacaj/code-eval

★ 432pushed Sep 12, 2023
vs
LiveCodeBench logo

LiveCodeBench

LiveCodeBench/LiveCodeBench

★ 958pushed Jul 16, 2025

Trust & integrity

Signalcode-evalLiveCodeBench
Maintenance
Dormant (1120d since push)
As of Oct 6, 2026 · github_public_v1
Dormant (449d since push)
As of Oct 8, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Oct 6, 2026 · github_public_v1
Not a fork · Organization account
As of Oct 8, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
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

Tagline

code-eval
Run evaluation on LLMs using human-eval benchmark.
LiveCodeBench
Holistic and contamination-free evaluation of large language models for code

Stars

code-eval
432
LiveCodeBench
958

Forks

code-eval
36
LiveCodeBench
206

Open issues

code-eval
5
LiveCodeBench
49

Language

code-eval
Python
LiveCodeBench
Python

Adopt for

code-eval
code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability.
LiveCodeBench
LiveCodeBench offers an in-depth approach to evaluating large language models specifically for code tasks such as generation and repair.

Persona

code-eval
-
LiveCodeBench
-

Runtime

code-eval
-
LiveCodeBench
-

License

code-eval
MIT
LiveCodeBench
MIT

Last pushed

code-eval
Sep 12, 2023
LiveCodeBench
Jul 16, 2025

Categories

code-eval
Evaluation & Observability
LiveCodeBench
Evaluation & Observability

Trust and health

Days since push

code-eval
1120d
LiveCodeBench
449d

Open issues (now)

code-eval
5
LiveCodeBench
49

Stars delta

code-eval
+1 (30d)
LiveCodeBench
+22 (30d)

Open issues delta

code-eval
0 (30d)
LiveCodeBench
+6 (30d)

Owner type

code-eval
User
LiveCodeBench
Organization

OSV dependency advisories

code-eval
Published findings
LiveCodeBench
No lockfile (source not queried)

Full report

code-eval
Trust report
LiveCodeBench
Trust report

Shared compatibility

  • Python · code-eval: Python runtime · LiveCodeBench: 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
  • Leaner open-issue backlog (5).

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

Choose LiveCodeBench if…

  • Tags unique to LiveCodeBench: code-execution, code-generation, code-repair, gpt-4.
  • When you need a holistic method to assess the effectiveness of LLMs in code tasks without risking contamination by earlier outputs or data leakage.
  • More GitHub stars (958 vs 432) - visibility, not fit.

When NOT to use LiveCodeBench

  • For broad, non-code-specific model assessments where a more generalized evaluation tool would suffice.
  • If your project is not compatible with Python 3.11 or if you do not want to use the uv dependency manager recommended by LiveCodeBench.

Explore

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 · LiveCodeBench 958 (synced Oct 6, 2026).

Common questions

What is the difference between code-eval and LiveCodeBench?
code-eval: Run evaluation on LLMs using human-eval benchmark.. LiveCodeBench: Holistic and contamination-free evaluation of large language models for code. See the comparison table for live GitHub stats and shared categories.
When should I choose code-eval over LiveCodeBench?
Choose code-eval over LiveCodeBench when Tags unique to code-eval: humaneval, wizardcoder; When you need clear comparisons of pass rates for different LLMs using standardized tests; Leaner open-issue backlog (5).
When should I choose LiveCodeBench over code-eval?
Choose LiveCodeBench over code-eval when Tags unique to LiveCodeBench: code-execution, code-generation, code-repair, gpt-4; When you need a holistic method to assess the effectiveness of LLMs in code tasks without risking contamination by earlier outputs or data leakage; More GitHub stars (958 vs 432) - visibility, not fit.
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 LiveCodeBench?
For broad, non-code-specific model assessments where a more generalized evaluation tool would suffice. If your project is not compatible with Python 3.11 or if you do not want to use the uv dependency manager recommended by LiveCodeBench.
Is code-eval or LiveCodeBench more popular on GitHub?
LiveCodeBench has more GitHub stars (958 vs 432). Stars measure visibility, not whether either tool fits your constraints.
Are code-eval and LiveCodeBench open source?
Yes - both are open-source projects on GitHub (code-eval: MIT, LiveCodeBench: MIT).
Where can I find alternatives to code-eval or LiveCodeBench?
GraphCanon lists graph-backed alternatives at code-eval alternatives and LiveCodeBench alternatives (code-eval markdown twin, LiveCodeBench 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 LiveCodeBench?
code-eval: Dormant. LiveCodeBench: 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 LiveCodeBench?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: code-eval trust report; LiveCodeBench trust report.

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