Comparison
autoarena vs prometheus-eval
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 prometheus-eval if prometheus-Eval integrates Prometheus metrics with GPT-4 for evaluating LLM responses in Python, under the Apache-2.0 license.
Markdown twin · autoarena alternatives · prometheus-eval alternatives
GraphCanon updated today
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Trust & integrity
| Signal | autoarena | prometheus-eval |
|---|---|---|
| Maintenance | Dormant (589d since push) As of 3w · github_public_v1 | Dormant (482d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of today · 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
- prometheus-eval
- Evaluate your LLM's response with Prometheus and GPT4
Stars
- autoarena
- 108
- prometheus-eval
- 1.1k
Forks
- autoarena
- 9
- prometheus-eval
- 68
Open issues
- autoarena
- 4
- prometheus-eval
- 13
Language
- autoarena
- TypeScript
- prometheus-eval
- 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.
- prometheus-eval
- Prometheus-Eval integrates Prometheus metrics with GPT-4 for evaluating LLM responses in Python, under the Apache-2.0 license.
Persona
- autoarena
- -
- prometheus-eval
- -
Runtime
- autoarena
- -
- prometheus-eval
- -
License
- autoarena
- Apache-2.0 license
- prometheus-eval
- Apache-2.0
Last pushed
- autoarena
- Dec 16, 2024
- prometheus-eval
- Apr 25, 2025
Categories
- autoarena
- Evaluation & Observability
- prometheus-eval
- Evaluation & Observability
Trust and health
Days since push
- autoarena
- 589d
- prometheus-eval
- 482d
Open issues (now)
- autoarena
- 4
- prometheus-eval
- 13
Stars delta
- autoarena
- Unknown
- prometheus-eval
- +5 (30d)
Open issues delta
- autoarena
- Unknown
- prometheus-eval
- -1 (30d)
Full report
- autoarena
- Trust report
- prometheus-eval
- Trust report
Shared compatibility
- Python · autoarena: Python runtime · prometheus-eval: Python runtime
Choose autoarena if…
- autoarena is primarily TypeScript; prometheus-eval is Python.
- 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 prometheus-eval if…
- prometheus-eval is primarily Python; autoarena is TypeScript.
- Tags unique to prometheus-eval: gpt4, litellm, llm, llmops.
- - When you need detailed and automated evaluations of instruction-response pairs from large language models using both Prometheus metrics and insights from GPT-4.
When NOT to use prometheus-eval
- - If your project does not require Prometheus metrics or if you prefer not to integrate an additional service for evaluation.
- - When your organization has strict data policies that prohibit using GPT-4 for assessment purposes, such as in scenarios with sensitive data processing outside AWS.
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 (prometheus-eval/prometheus-eval) · observed Aug 21, 2026
- GitHub forks (prometheus-eval/prometheus-eval) · observed Aug 21, 2026
- Last push (prometheus-eval/prometheus-eval) · observed Apr 25, 2025
- License file (Apache-2.0) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autoarena 108 · prometheus-eval 1.1k (synced Jul 29, 2026).
Common questions
- What is the difference between autoarena and prometheus-eval?
- autoarena: Automated evaluation of LLMs and RAG systems. prometheus-eval: Evaluate your LLM's response with Prometheus and GPT4. See the comparison table for live GitHub stats and shared categories.
- When should I choose autoarena over prometheus-eval?
- Choose autoarena over prometheus-eval when autoarena is primarily TypeScript; prometheus-eval is Python; 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 prometheus-eval over autoarena?
- Choose prometheus-eval over autoarena when prometheus-eval is primarily Python; autoarena is TypeScript; Tags unique to prometheus-eval: gpt4, litellm, llm, llmops; - When you need detailed and automated evaluations of instruction-response pairs from large language models using both Prometheus metrics and insights from GPT-4.
- 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 prometheus-eval?
- - If your project does not require Prometheus metrics or if you prefer not to integrate an additional service for evaluation. - When your organization has strict data policies that prohibit using GPT-4 for assessment purposes, such as in scenarios with sensitive data processing outside AWS.
- Is autoarena or prometheus-eval more popular on GitHub?
- prometheus-eval has more GitHub stars (1,107 vs 108). Stars measure visibility, not whether either tool fits your constraints.
- Are autoarena and prometheus-eval open source?
- Yes - both are open-source projects on GitHub (autoarena: Apache-2.0, prometheus-eval: Apache-2.0).
- Where can I find alternatives to autoarena or prometheus-eval?
- GraphCanon lists graph-backed alternatives at autoarena alternatives and prometheus-eval alternatives (autoarena markdown twin, prometheus-eval 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 prometheus-eval?
- autoarena: Dormant. prometheus-eval: 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 autoarena and prometheus-eval?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autoarena trust report; prometheus-eval trust report.