Comparison
autoarena vs simple-evals
Verdict
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; pick simple-evals if simple-evals provides lightweight tools for evaluating language models using reference implementations from HealthBench, BrowseComp, SimpleQA. Last updates July 2025.
Markdown twin · autoarena alternatives · simple-evals alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | autoarena | simple-evals |
|---|---|---|
| Maintenance | Dormant (589d since push) As of 3w · github_public_v1 | Slowing (106d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 2w · 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
- autoarena
- Automated evaluation of LLMs and RAG systems
- simple-evals
- A lightweight library for evaluating language models.
Stars
- autoarena
- 108
- simple-evals
- 4.6k
Forks
- autoarena
- 9
- simple-evals
- 501
Open issues
- autoarena
- 4
- simple-evals
- 56
Language
- autoarena
- TypeScript
- simple-evals
- Python
Adopt for
- 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.
- simple-evals
- simple-evals provides lightweight tools for evaluating language models using reference implementations from HealthBench, BrowseComp, SimpleQA. Last updates July 2025.
Persona
- autoarena
- -
- simple-evals
- -
Runtime
- autoarena
- -
- simple-evals
- -
License
- autoarena
- Apache-2.0 license
- simple-evals
- MIT licensed Python library for transparent language model evaluations with specific benchmark support until July 2025.
Last pushed
- autoarena
- Dec 16, 2024
- simple-evals
- Apr 22, 2026
Categories
- autoarena
- Evaluation & Observability
- simple-evals
- Evaluation & Observability
Trust and health
Maintenance
- autoarena
- Dormant (18%)
- simple-evals
- Slowing (36%)
Days since push
- autoarena
- 589d
- simple-evals
- 106d
Open issues (now)
- autoarena
- 4
- simple-evals
- 56
Full report
- autoarena
- Trust report
- simple-evals
- Trust report
Choose autoarena if…
- autoarena is primarily TypeScript; simple-evals is Python.
- License: autoarena is Apache-2.0, simple-evals is MIT.
- Requirements: Python environment and internet access are needed for PyPI installation via pip..
- Tags unique to autoarena: ai, llm-evaluation, rag, testing.
- 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.
Choose simple-evals if…
- simple-evals is primarily Python; autoarena is TypeScript.
- License: simple-evals is MIT, autoarena is Apache-2.0.
- Tags unique to simple-evals: benchmark, depreciation notice, language-models.
- When you need a stable baseline to evaluate model performance with specific benchmarks like MMLU, HumanEval, and DROP that won't change after July 2025
When NOT to use simple-evals
- For evaluating models released or significantly updated after July 2025, as this tool does not include future benchmarks
- When you need a tool that will adapt and expand its benchmark set with emerging model releases and evaluation tasks beyond 2025
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (openai/simple-evals) · observed Aug 7, 2026
- GitHub forks (openai/simple-evals) · observed Aug 7, 2026
- Last push (openai/simple-evals) · observed Apr 22, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autoarena 108 · simple-evals 4.6k (synced Jul 29, 2026).
Common questions
- What is the difference between autoarena and simple-evals?
- autoarena: Automated evaluation of LLMs and RAG systems. simple-evals: A lightweight library for evaluating language models.. See the comparison table for live GitHub stats and shared categories.
- When should I choose autoarena over simple-evals?
- Choose autoarena over simple-evals when autoarena is primarily TypeScript; simple-evals is Python; License: autoarena is Apache-2.0, simple-evals is MIT; Requirements: Python environment and internet access are needed for PyPI installation via pip.; Tags unique to autoarena: ai, llm-evaluation, rag, testing; 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 choose simple-evals over autoarena?
- Choose simple-evals over autoarena when simple-evals is primarily Python; autoarena is TypeScript; License: simple-evals is MIT, autoarena is Apache-2.0; Tags unique to simple-evals: benchmark, depreciation notice, language-models; When you need a stable baseline to evaluate model performance with specific benchmarks like MMLU, HumanEval, and DROP that won't change after July 2025.
- 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.
- When should I avoid simple-evals?
- For evaluating models released or significantly updated after July 2025, as this tool does not include future benchmarks When you need a tool that will adapt and expand its benchmark set with emerging model releases and evaluation tasks beyond 2025
- Is autoarena or simple-evals more popular on GitHub?
- simple-evals has more GitHub stars (4,595 vs 108). Stars measure visibility, not whether either tool fits your constraints.
- Are autoarena and simple-evals open source?
- Yes - both are open-source projects on GitHub (autoarena: Apache-2.0, simple-evals: MIT).
- Where can I find alternatives to autoarena or simple-evals?
- GraphCanon lists graph-backed alternatives at autoarena alternatives and simple-evals alternatives (autoarena markdown twin, simple-evals 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, autoarena or simple-evals?
- autoarena: Dormant. simple-evals: Slowing. 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 autoarena and simple-evals?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autoarena trust report; simple-evals trust report.