--- title: "athina-evals vs GAGE" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/athina-ai-athina-evals-vs-hithink-research-gage" tools: ["athina-ai-athina-evals", "hithink-research-gage"] --- # athina-evals vs GAGE *GraphCanon updated Sep 20, 2026* ## 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 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. [athina-evals](https://docs.athina.ai) reports 301 GitHub stars, 22 forks, and 4 open issues, last pushed Jun 6, 2025. [GAGE](https://github.com/HiThink-Research/GAGE) has 52 stars, 8 forks, and 3 open issues, last pushed Jun 2, 2026. Figures are from public GitHub metadata via [athina-evals's repository](https://github.com/athina-ai/athina-evals) and [GAGE's repository](https://github.com/HiThink-Research/GAGE). | | [athina-evals](/tools/athina-ai-athina-evals.md) | [GAGE](/tools/hithink-research-gage.md) | | --- | --- | --- | | Tagline | Python SDK for evaluating LLM generated responses | Unified Evaluation Engine for AI Models | | Stars | 301 | 52 | | Forks | 22 | 8 | | Open issues | 4 | 3 | | Language | Python | Python | | Adopt for | athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks. | 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. | | Persona | - | - | | Runtime | - | - | | License | - | (unknown) - License unknown, proceed with caution as license compliance may be unclear. | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [athina-evals](/tools/athina-ai-athina-evals.md) | [GAGE](/tools/hithink-research-gage.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 470d | 99d | | Open issues (now) | 4 | 3 | | Stars delta | 0 (30d) | +1 (30d) | | Open issues delta | +1 (30d) | 0 (30d) | | Full report | [trust report](/tools/athina-ai-athina-evals/trust.md) | [trust report](/tools/hithink-research-gage/trust.md) | ## Decision facts: athina-evals - **Adopt for:** athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks. ## Decision facts: GAGE - **Adopt for:** 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. - **License detail:** (unknown) - License unknown, proceed with caution as license compliance may be unclear. - **Runtime:** unknown ## Choose when ### 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 GitHub stars (301 vs 52) - visibility, not fit. ### 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 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 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. ## Common questions ### What is the difference between athina-evals and GAGE? athina-evals: Python SDK for evaluating LLM generated responses. GAGE: Unified Evaluation Engine for AI Models. See the comparison table for live GitHub stats and shared categories. ### When should I choose athina-evals over GAGE? Choose athina-evals over GAGE 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 GitHub stars (301 vs 52) - visibility, not fit. ### When should I choose GAGE over athina-evals? Choose GAGE over athina-evals 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 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 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. ### Is athina-evals or GAGE more popular on GitHub? athina-evals has more GitHub stars (301 vs 52). Stars measure visibility, not whether either tool fits your constraints. ### Are athina-evals and GAGE open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to athina-evals or GAGE? GraphCanon lists graph-backed alternatives at [athina-evals alternatives](/tools/athina-ai-athina-evals/alternatives) and [GAGE alternatives](/tools/hithink-research-gage/alternatives) ([athina-evals markdown twin](/tools/athina-ai-athina-evals/alternatives.md), [GAGE markdown twin](/tools/hithink-research-gage/alternatives.md)), 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](/compare/athina-ai-athina-evals-vs-hithink-research-gage.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, athina-evals or GAGE? athina-evals: Dormant. GAGE: Slowing. 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 GAGE? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [athina-evals trust report](/tools/athina-ai-athina-evals/trust); [GAGE trust report](/tools/hithink-research-gage/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=athina-ai-athina-evals`](/api/graphcanon/graph?tool=athina-ai-athina-evals) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_