Home/Compare/code-eval vs autoarena

Comparison

code-eval vs autoarena

Verdict

Pick code-eval if code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability; pick autoarena if autoarena automates evaluations for LLMs and RAG systems through a user-friendly interface where projects are created and judged without manual intervention by the users.

Markdown twin · code-eval alternatives · autoarena alternatives

GraphCanon updated 2w

code-eval logo

code-eval

abacaj/code-eval

431pushed Sep 12, 2023
vs
autoarena logo

autoarena

kolenaIO/autoarena

108pushed Dec 16, 2024

Trust & integrity

Signalcode-evalautoarena
Maintenance
Dormant (1058d since push)
As of 2w · github_public_v1
Dormant (589d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
Published findings
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

code-eval
Run evaluation on LLMs using human-eval benchmark.
autoarena
Automated evaluation of LLMs and RAG systems

Stars

code-eval
431
autoarena
108

Forks

code-eval
37
autoarena
9

Open issues

code-eval
5
autoarena
4

Language

code-eval
Python
autoarena
TypeScript

Adopt for

code-eval
code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability.
autoarena
autoarena automates evaluations for LLMs and RAG systems through a user-friendly interface where projects are created and judged without manual intervention by the users.

Persona

code-eval
-
autoarena
-

Runtime

code-eval
-
autoarena
-

License

code-eval
MIT
autoarena
Apache-2.0 license

Last pushed

code-eval
Sep 12, 2023
autoarena
Dec 16, 2024

Categories

code-eval
Evaluation & Observability
autoarena
Evaluation & Observability

Trust and health

Days since push

code-eval
1058d
autoarena
589d

Open issues (now)

code-eval
5
autoarena
4

Owner type

code-eval
User
autoarena
Organization

OSV dependency advisories

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

Full report

code-eval
Trust report
autoarena
Trust report

Shared compatibility

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

Choose code-eval if…

  • code-eval is primarily Python; autoarena is TypeScript.
  • License: code-eval is MIT, autoarena is Apache-2.0.
  • Tags unique to code-eval: humaneval, wizardcoder.
  • When you need clear comparisons of pass rates for different LLMs using standardized tests

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 autoarena if…

  • autoarena is primarily TypeScript; code-eval is Python.
  • License: autoarena is Apache-2.0, code-eval is MIT.
  • Requirements: Python environment and internet access are needed for PyPI installation via pip..
  • Tags unique to autoarena: ai, evaluation, llm-evaluation, rag.
  • When you need a TypeScript-based tool to rank LLMs and RAG systems via automated head-to-head comparisons, and a web UI is preferable.

When NOT to use autoarena

  • If your environment lacks the necessary Python packages or you cannot install from PyPI due to restrictions.
  • When real-time evaluation needs surpass capabilities, such as requiring immediate feedback beyond autoarena's batch-processing approach.

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 431 · autoarena 108 (synced Aug 5, 2026).

Common questions

What is the difference between code-eval and autoarena?
code-eval: Run evaluation on LLMs using human-eval benchmark.. autoarena: Automated evaluation of LLMs and RAG systems. See the comparison table for live GitHub stats and shared categories.
When should I choose code-eval over autoarena?
Choose code-eval over autoarena when code-eval is primarily Python; autoarena is TypeScript; License: code-eval is MIT, autoarena is Apache-2.0; Tags unique to code-eval: humaneval, wizardcoder; When you need clear comparisons of pass rates for different LLMs using standardized tests.
When should I choose autoarena over code-eval?
Choose autoarena over code-eval when autoarena is primarily TypeScript; code-eval is Python; License: autoarena is Apache-2.0, code-eval is MIT; Requirements: Python environment and internet access are needed for PyPI installation via pip.; Tags unique to autoarena: ai, evaluation, llm-evaluation, rag; When you need a TypeScript-based tool to rank LLMs and RAG systems via automated head-to-head comparisons, and a web UI is preferable.
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 autoarena?
If your environment lacks the necessary Python packages or you cannot install from PyPI due to restrictions. When real-time evaluation needs surpass capabilities, such as requiring immediate feedback beyond autoarena's batch-processing approach.
Is code-eval or autoarena more popular on GitHub?
code-eval has more GitHub stars (431 vs 108). Stars measure visibility, not whether either tool fits your constraints.
Are code-eval and autoarena open source?
Yes - both are open-source projects on GitHub (code-eval: MIT, autoarena: Apache-2.0).
Where can I find alternatives to code-eval or autoarena?
GraphCanon lists graph-backed alternatives at code-eval alternatives and autoarena alternatives (code-eval markdown twin, autoarena 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 autoarena?
code-eval: Dormant. autoarena: 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 autoarena?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: code-eval trust report; autoarena trust report.

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