Comparison
prometheus-eval vs auto-evaluator
Verdict
Pick prometheus-eval if prometheus-Eval integrates Prometheus metrics with GPT-4 for evaluating LLM responses in Python, under the Apache-2.0 license; pick auto-evaluator if auto-evaluator is a Python-based tool designed for evaluating LLM QA chains with the capability to auto-generate question-answer pairs from user-provided documents and evaluate answers using configurations chosen via UI.
Markdown twin · prometheus-eval alternatives · auto-evaluator alternatives
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Trust & integrity
| Signal | prometheus-eval | auto-evaluator |
|---|---|---|
| Maintenance | Dormant (482d since push) As of today · github_public_v1 | Dormant (1186d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- prometheus-eval
- Evaluate your LLM's response with Prometheus and GPT4
- auto-evaluator
- A lightweight evaluation tool for question-answering using Langchain
Stars
- prometheus-eval
- 1.1k
- auto-evaluator
- 1.1k
Forks
- prometheus-eval
- 68
- auto-evaluator
- 92
Open issues
- prometheus-eval
- 13
- auto-evaluator
- 3
Language
- prometheus-eval
- Python
- auto-evaluator
- Python
Adopt for
- prometheus-eval
- Prometheus-Eval integrates Prometheus metrics with GPT-4 for evaluating LLM responses in Python, under the Apache-2.0 license.
- auto-evaluator
- Auto-evaluator is a Python-based tool designed for evaluating LLM QA chains with the capability to auto-generate question-answer pairs from user-provided documents and evaluate answers using configurations chosen via UI.
Persona
- prometheus-eval
- -
- auto-evaluator
- -
Runtime
- prometheus-eval
- -
- auto-evaluator
- -
License
- prometheus-eval
- Apache-2.0
- auto-evaluator
- -
Last pushed
- prometheus-eval
- Apr 25, 2025
- auto-evaluator
- May 10, 2023
Categories
- prometheus-eval
- Evaluation & Observability
- auto-evaluator
- Evaluation & Observability
Trust and health
Days since push
- prometheus-eval
- 482d
- auto-evaluator
- 1186d
Open issues (now)
- prometheus-eval
- 13
- auto-evaluator
- 3
Stars delta
- prometheus-eval
- +5 (30d)
- auto-evaluator
- Unknown
Open issues delta
- prometheus-eval
- -1 (30d)
- auto-evaluator
- Unknown
Owner type
- prometheus-eval
- Organization
- auto-evaluator
- User
OSV dependency advisories
- prometheus-eval
- No lockfile (source not queried)
- auto-evaluator
- Published findings
Full report
- prometheus-eval
- Trust report
- auto-evaluator
- Trust report
Shared compatibility
- Python · prometheus-eval: Python runtime · auto-evaluator: Python runtime
Choose prometheus-eval if…
- Tags unique to prometheus-eval: gpt4, litellm, llmops, python.
- - When you need detailed and automated evaluations of instruction-response pairs from large language models using both Prometheus metrics and insights from GPT-4.
- More GitHub stars (1.1k vs 1.1k) - visibility, not fit.
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.
Choose auto-evaluator if…
- Tags unique to auto-evaluator: gpt-3.5-turbo, langchain, question-answering.
- Use when you need a lightweight solution for testing question-answering capabilities of Langchain models.
- Leaner open-issue backlog (3).
When NOT to use auto-evaluator
- Avoid using this tool when you do not have access to an OpenAI API key providing access to GPT-4, as it uses that by default for optimal settings.
- If you are looking for a tool that does not require you to input documents for question generation and prefer a more customized prompt approach rather than the auto-generation feature.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (rlancemartin/auto-evaluator) · observed Aug 8, 2026
- GitHub forks (rlancemartin/auto-evaluator) · observed Aug 8, 2026
- Last push (rlancemartin/auto-evaluator) · observed May 10, 2023
- License file (unknown) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: prometheus-eval 1.1k · auto-evaluator 1.1k (synced Aug 21, 2026).
Common questions
- What is the difference between prometheus-eval and auto-evaluator?
- prometheus-eval: Evaluate your LLM's response with Prometheus and GPT4. auto-evaluator: A lightweight evaluation tool for question-answering using Langchain. See the comparison table for live GitHub stats and shared categories.
- When should I choose prometheus-eval over auto-evaluator?
- Choose prometheus-eval over auto-evaluator when Tags unique to prometheus-eval: gpt4, litellm, llmops, python; - When you need detailed and automated evaluations of instruction-response pairs from large language models using both Prometheus metrics and insights from GPT-4; More GitHub stars (1.1k vs 1.1k) - visibility, not fit.
- When should I choose auto-evaluator over prometheus-eval?
- Choose auto-evaluator over prometheus-eval when Tags unique to auto-evaluator: gpt-3.5-turbo, langchain, question-answering; Use when you need a lightweight solution for testing question-answering capabilities of Langchain models; Leaner open-issue backlog (3).
- 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.
- When should I avoid auto-evaluator?
- Avoid using this tool when you do not have access to an OpenAI API key providing access to GPT-4, as it uses that by default for optimal settings. If you are looking for a tool that does not require you to input documents for question generation and prefer a more customized prompt approach rather than the auto-generation feature.
- Is prometheus-eval or auto-evaluator more popular on GitHub?
- prometheus-eval has more GitHub stars (1,107 vs 1,105). Stars measure visibility, not whether either tool fits your constraints.
- Are prometheus-eval and auto-evaluator open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to prometheus-eval or auto-evaluator?
- GraphCanon lists graph-backed alternatives at prometheus-eval alternatives and auto-evaluator alternatives (prometheus-eval markdown twin, auto-evaluator 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, prometheus-eval or auto-evaluator?
- prometheus-eval: Dormant. auto-evaluator: 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 prometheus-eval and auto-evaluator?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: prometheus-eval trust report; auto-evaluator trust report.