Comparison
auto-evaluator vs ARES
Verdict
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; pick ARES if automated evaluation for RAG systems with API integrations like OpenAI.
Markdown twin · auto-evaluator alternatives · ARES alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | auto-evaluator | ARES |
|---|---|---|
| Maintenance | Dormant (1186d since push) As of 2w · github_public_v1 | Dormant (491d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | Published findings 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
- auto-evaluator
- A lightweight evaluation tool for question-answering using Langchain
- ARES
- Automated Evaluation of RAG Systems
Stars
- auto-evaluator
- 1.1k
- ARES
- 731
Forks
- auto-evaluator
- 92
- ARES
- 67
Open issues
- auto-evaluator
- 3
- ARES
- 21
Language
- auto-evaluator
- Python
- ARES
- Python
Adopt for
- 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.
- ARES
- Automated evaluation for RAG systems with API integrations like OpenAI.
Persona
- auto-evaluator
- -
- ARES
- -
Runtime
- auto-evaluator
- -
- ARES
- -
License
- auto-evaluator
- -
- ARES
- Apache-2.0
Last pushed
- auto-evaluator
- May 10, 2023
- ARES
- Mar 28, 2025
Categories
- auto-evaluator
- Evaluation & Observability
- ARES
- Evaluation & Observability
Trust and health
Days since push
- auto-evaluator
- 1186d
- ARES
- 491d
Open issues (now)
- auto-evaluator
- 3
- ARES
- 21
Owner type
- auto-evaluator
- User
- ARES
- Organization
Full report
- auto-evaluator
- Trust report
- ARES
- Trust report
Shared compatibility
- OpenAI API · auto-evaluator: OpenAI API · ARES: OpenAI API
- Python · auto-evaluator: Python runtime · ARES: Python runtime
Choose auto-evaluator if…
- Tags unique to auto-evaluator: evaluation, gpt-3.5-turbo, langchain, llm.
- Use when you need a lightweight solution for testing question-answering capabilities of Langchain models.
- More GitHub stars (1.1k vs 731) - 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.
Choose ARES if…
- Tags unique to ARES: automated scoring, human validation sets, python, rag evaluation.
- Evaluating Retrieval-Augmented Generation (RAG) systems that require automatic scoring using human-annotated data and few-shot examples.
- More recently updated (last pushed Mar 28, 2025).
When NOT to use ARES
- Avoid if limited to non-GPU machines with less than ~100GB available disk space, as it encounters CUDA out-of-memory errors without compatible GPU setups.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (stanford-futuredata/ARES) · observed Aug 1, 2026
- GitHub forks (stanford-futuredata/ARES) · observed Aug 1, 2026
- Last push (stanford-futuredata/ARES) · observed Mar 28, 2025
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: auto-evaluator 1.1k · ARES 731 (synced Aug 8, 2026).
Common questions
- What is the difference between auto-evaluator and ARES?
- auto-evaluator: A lightweight evaluation tool for question-answering using Langchain. ARES: Automated Evaluation of RAG Systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose auto-evaluator over ARES?
- Choose auto-evaluator over ARES when Tags unique to auto-evaluator: evaluation, gpt-3.5-turbo, langchain, llm; Use when you need a lightweight solution for testing question-answering capabilities of Langchain models; More GitHub stars (1.1k vs 731) - visibility, not fit.
- When should I choose ARES over auto-evaluator?
- Choose ARES over auto-evaluator when Tags unique to ARES: automated scoring, human validation sets, python, rag evaluation; Evaluating Retrieval-Augmented Generation (RAG) systems that require automatic scoring using human-annotated data and few-shot examples; More recently updated (last pushed Mar 28, 2025).
- 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.
- When should I avoid ARES?
- Avoid if limited to non-GPU machines with less than ~100GB available disk space, as it encounters CUDA out-of-memory errors without compatible GPU setups.
- Is auto-evaluator or ARES more popular on GitHub?
- auto-evaluator has more GitHub stars (1,105 vs 731). Stars measure visibility, not whether either tool fits your constraints.
- Are auto-evaluator and ARES open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to auto-evaluator or ARES?
- GraphCanon lists graph-backed alternatives at auto-evaluator alternatives and ARES alternatives (auto-evaluator markdown twin, ARES 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, auto-evaluator or ARES?
- auto-evaluator: Dormant. ARES: 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 auto-evaluator and ARES?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: auto-evaluator trust report; ARES trust report.