Comparison
athina-evals vs prometheus-eval
Verdict
Pick athina-evals if athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks; 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 · athina-evals alternatives · prometheus-eval alternatives
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Trust & integrity
| Signal | athina-evals | prometheus-eval |
|---|---|---|
| Maintenance | Dormant (417d 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
- athina-evals
- Python SDK for evaluating LLM generated responses
- prometheus-eval
- Evaluate your LLM's response with Prometheus and GPT4
Stars
- athina-evals
- 301
- prometheus-eval
- 1.1k
Forks
- athina-evals
- 22
- prometheus-eval
- 68
Open issues
- athina-evals
- 3
- prometheus-eval
- 13
Language
- athina-evals
- Python
- prometheus-eval
- Python
Adopt for
- athina-evals
- athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks.
- prometheus-eval
- Prometheus-Eval integrates Prometheus metrics with GPT-4 for evaluating LLM responses in Python, under the Apache-2.0 license.
Persona
- athina-evals
- -
- prometheus-eval
- -
Runtime
- athina-evals
- -
- prometheus-eval
- -
License
- athina-evals
- -
- prometheus-eval
- Apache-2.0
Last pushed
- athina-evals
- Jun 6, 2025
- prometheus-eval
- Apr 25, 2025
Categories
- athina-evals
- Evaluation & Observability
- prometheus-eval
- Evaluation & Observability
Trust and health
Days since push
- athina-evals
- 417d
- prometheus-eval
- 482d
Open issues (now)
- athina-evals
- 3
- prometheus-eval
- 13
Stars delta
- athina-evals
- Unknown
- prometheus-eval
- +5 (30d)
Open issues delta
- athina-evals
- Unknown
- prometheus-eval
- -1 (30d)
Full report
- athina-evals
- Trust report
- prometheus-eval
- Trust report
Choose athina-evals if…
- Tags unique to athina-evals: evaluation-framework, evaluation-metrics, llm-eval, llm-evaluation.
- When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics
- More recently updated (last pushed Jun 6, 2025).
When NOT to use athina-evals
- If open-source alternatives with transparent customization options are preferred over athina-evals' approach
- In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments
Choose prometheus-eval if…
- 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.
- More GitHub stars (1.1k vs 301) - 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (athina-ai/athina-evals) · observed Jul 28, 2026
- GitHub forks (athina-ai/athina-evals) · observed Jul 28, 2026
- Last push (athina-ai/athina-evals) · observed Jun 6, 2025
- License file (unknown) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 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: athina-evals 301 · prometheus-eval 1.1k (synced Jul 28, 2026).
Common questions
- What is the difference between athina-evals and prometheus-eval?
- athina-evals: Python SDK for evaluating LLM generated responses. 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 athina-evals over prometheus-eval?
- Choose athina-evals over prometheus-eval when Tags unique to athina-evals: evaluation-framework, evaluation-metrics, llm-eval, llm-evaluation; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; More recently updated (last pushed Jun 6, 2025).
- When should I choose prometheus-eval over athina-evals?
- Choose prometheus-eval over athina-evals when 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; More GitHub stars (1.1k vs 301) - visibility, not fit.
- When should I avoid athina-evals?
- If open-source alternatives with transparent customization options are preferred over athina-evals' approach In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments
- 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 athina-evals or prometheus-eval more popular on GitHub?
- prometheus-eval has more GitHub stars (1,107 vs 301). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and prometheus-eval open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or prometheus-eval?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and prometheus-eval alternatives (athina-evals 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, athina-evals or prometheus-eval?
- athina-evals: 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 athina-evals and prometheus-eval?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; prometheus-eval trust report.