Comparison
athina-evals vs auto-evaluator
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 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 · athina-evals alternatives · auto-evaluator alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | athina-evals | auto-evaluator |
|---|---|---|
| Maintenance | Dormant (417d since push) As of 4w · github_public_v1 | Dormant (1186d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Personal account As of 2w · 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
- athina-evals
- Python SDK for evaluating LLM generated responses
- auto-evaluator
- A lightweight evaluation tool for question-answering using Langchain
Stars
- athina-evals
- 301
- auto-evaluator
- 1.1k
Forks
- athina-evals
- 22
- auto-evaluator
- 92
Open issues
- athina-evals
- 3
- auto-evaluator
- 3
Language
- athina-evals
- Python
- auto-evaluator
- 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.
- 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
- athina-evals
- -
- auto-evaluator
- -
Runtime
- athina-evals
- -
- auto-evaluator
- -
License
- athina-evals
- -
- auto-evaluator
- -
Last pushed
- athina-evals
- Jun 6, 2025
- auto-evaluator
- May 10, 2023
Categories
- athina-evals
- Evaluation & Observability
- auto-evaluator
- Evaluation & Observability
Trust and health
Days since push
- athina-evals
- 417d
- auto-evaluator
- 1186d
Owner type
- athina-evals
- Organization
- auto-evaluator
- User
OSV dependency advisories
- athina-evals
- No lockfile (source not queried)
- auto-evaluator
- Published findings
Full report
- athina-evals
- Trust report
- auto-evaluator
- 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 auto-evaluator if…
- Tags unique to auto-evaluator: gpt-3.5-turbo, langchain, llm, question-answering.
- Use when you need a lightweight solution for testing question-answering capabilities of Langchain models.
- More GitHub stars (1.1k vs 301) - visibility, not fit.
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 (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 (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: athina-evals 301 · auto-evaluator 1.1k (synced Jul 28, 2026).
Common questions
- What is the difference between athina-evals and auto-evaluator?
- athina-evals: Python SDK for evaluating LLM generated responses. 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 athina-evals over auto-evaluator?
- Choose athina-evals over auto-evaluator 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 auto-evaluator over athina-evals?
- Choose auto-evaluator over athina-evals when Tags unique to auto-evaluator: gpt-3.5-turbo, langchain, llm, question-answering; Use when you need a lightweight solution for testing question-answering capabilities of Langchain models; 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 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 athina-evals or auto-evaluator more popular on GitHub?
- auto-evaluator has more GitHub stars (1,105 vs 301). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and auto-evaluator open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or auto-evaluator?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and auto-evaluator alternatives (athina-evals 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, athina-evals or auto-evaluator?
- athina-evals: 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 athina-evals and auto-evaluator?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; auto-evaluator trust report.