Comparison
GAGE vs auto-evaluator
Verdict
Pick GAGE if gAGE is a unified evaluation framework that offers fast local testing through a consistent pipeline for large language models, multimodal models, audio models, diffusion models, agents, and game environments; 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.
Markdown twin · GAGE alternatives · auto-evaluator alternatives
GraphCanon updated Sep 10, 2026
10views this month
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Trust & integrity
| Signal | GAGE | auto-evaluator |
|---|---|---|
| Maintenance | Slowing (99d since push) As of Sep 10, 2026 · github_public_v1 | Dormant (1216d since push) As of Sep 8, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 10, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 8, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 15, 2026 · osv@v1 | Published findings As of Jul 11, 2026 · 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
- GAGE
- Unified Evaluation Engine for AI Models
- auto-evaluator
- A lightweight evaluation tool for question-answering using Langchain
Stars
- GAGE
- 52
- auto-evaluator
- 1.1k
Forks
- GAGE
- 8
- auto-evaluator
- 92
Open issues
- GAGE
- 3
- auto-evaluator
- 3
Language
- GAGE
- Python
- auto-evaluator
- Python
Adopt for
- GAGE
- GAGE is a unified evaluation framework that offers fast local testing through a consistent pipeline for large language models, multimodal models, audio models, diffusion models, agents, and game environments.
- 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
- GAGE
- -
- auto-evaluator
- -
Runtime
- GAGE
- -
- auto-evaluator
- -
License
- GAGE
- (unknown) - License unknown, proceed with caution as license compliance may be unclear.
- auto-evaluator
- -
Last pushed
- GAGE
- Jun 2, 2026
- auto-evaluator
- May 10, 2023
Categories
- GAGE
- Evaluation & Observability
- auto-evaluator
- Evaluation & Observability
Trust and health
Maintenance
- GAGE
- Slowing (36%)
- auto-evaluator
- Dormant (18%)
Days since push
- GAGE
- 99d
- auto-evaluator
- 1216d
Stars delta
- GAGE
- +1 (30d)
- auto-evaluator
- -3 (30d)
Owner type
- GAGE
- Organization
- auto-evaluator
- User
Full report
- GAGE
- Trust report
- auto-evaluator
- Trust report
Shared compatibility
- Python · GAGE: Python runtime · auto-evaluator: Python runtime
Choose GAGE if…
- Tags unique to GAGE: agents, audio_models, diffusion-models, game_environments.
- If you need to evaluate various AI model types with one engine, including game engines like Space Invaders or Mahjong.
- More recently updated (last pushed Jun 2, 2026).
When NOT to use GAGE
- Avoid if your project requires real-time multiplayer game evaluation capabilities since GAGE focuses more on single-agent sandbox environments and turn-based games.
- Not suitable for scenarios where a visual interface is needed for the evaluation process but does not require replayable artifacts or structured arena traces.
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 52) - 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 (HiThink-Research/GAGE) · observed Sep 10, 2026
- GitHub forks (HiThink-Research/GAGE) · observed Sep 10, 2026
- Last push (HiThink-Research/GAGE) · observed Jun 2, 2026
- License file (unknown) · observed Sep 10, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (rlancemartin/auto-evaluator) · observed Sep 8, 2026
- GitHub forks (rlancemartin/auto-evaluator) · observed Sep 8, 2026
- Last push (rlancemartin/auto-evaluator) · observed May 10, 2023
- License file (unknown) · observed Sep 8, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: GAGE 52 · auto-evaluator 1.1k (synced Sep 10, 2026).
Common questions
- What is the difference between GAGE and auto-evaluator?
- GAGE: Unified Evaluation Engine for AI Models. 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 GAGE over auto-evaluator?
- Choose GAGE over auto-evaluator when Tags unique to GAGE: agents, audio_models, diffusion-models, game_environments; If you need to evaluate various AI model types with one engine, including game engines like Space Invaders or Mahjong; More recently updated (last pushed Jun 2, 2026).
- When should I choose auto-evaluator over GAGE?
- Choose auto-evaluator over GAGE 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 52) - visibility, not fit.
- When should I avoid GAGE?
- Avoid if your project requires real-time multiplayer game evaluation capabilities since GAGE focuses more on single-agent sandbox environments and turn-based games. Not suitable for scenarios where a visual interface is needed for the evaluation process but does not require replayable artifacts or structured arena traces.
- 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 GAGE or auto-evaluator more popular on GitHub?
- auto-evaluator has more GitHub stars (1,102 vs 52). Stars measure visibility, not whether either tool fits your constraints.
- Are GAGE and auto-evaluator open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to GAGE or auto-evaluator?
- GraphCanon lists graph-backed alternatives at GAGE alternatives and auto-evaluator alternatives (GAGE 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, GAGE or auto-evaluator?
- GAGE: Slowing. 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 GAGE and auto-evaluator?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: GAGE trust report; auto-evaluator trust report.