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
Trust & integrity
| Signal | code-eval | autoarena |
|---|---|---|
| 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 (abacaj/code-eval) · observed Aug 5, 2026
- GitHub forks (abacaj/code-eval) · observed Aug 5, 2026
- Last push (abacaj/code-eval) · observed Sep 12, 2023
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (kolenaIO/autoarena) · observed Jul 29, 2026
- GitHub forks (kolenaIO/autoarena) · observed Jul 29, 2026
- Last push (kolenaIO/autoarena) · observed Dec 16, 2024
- License file (Apache-2.0) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.