--- title: "bigcode-evaluation-harness vs GAGE" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigcode-project-bigcode-evaluation-harness-vs-hithink-research-gage" tools: ["bigcode-project-bigcode-evaluation-harness", "hithink-research-gage"] --- # bigcode-evaluation-harness vs GAGE *GraphCanon updated Sep 20, 2026* ## Verdict Pick bigcode-evaluation-harness if bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments; 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. [bigcode-evaluation-harness](https://github.com/bigcode-project/bigcode-evaluation-harness) reports 1.1k GitHub stars, 259 forks, and 96 open issues, last pushed Jul 22, 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 [bigcode-evaluation-harness's repository](https://github.com/bigcode-project/bigcode-evaluation-harness) and [GAGE's repository](https://github.com/HiThink-Research/GAGE). | | [bigcode-evaluation-harness](/tools/bigcode-project-bigcode-evaluation-harness.md) | [GAGE](/tools/hithink-research-gage.md) | | --- | --- | --- | | Tagline | A framework for evaluating autoregressive code generation language models. | Unified Evaluation Engine for AI Models | | Stars | 1,058 | 52 | | Forks | 259 | 8 | | Open issues | 96 | 3 | | Language | Python | Python | | Adopt for | bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments. | 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 | bigcode-evaluation-harness is distributed under the Apache-2.0 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._ | | [bigcode-evaluation-harness](/tools/bigcode-project-bigcode-evaluation-harness.md) | [GAGE](/tools/hithink-research-gage.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 409d | 99d | | Open issues (now) | 96 | 3 | | Stars delta | +3 (30d) | +1 (30d) | | Full report | [trust report](/tools/bigcode-project-bigcode-evaluation-harness/trust.md) | [trust report](/tools/hithink-research-gage/trust.md) | ## Decision facts: bigcode-evaluation-harness - **Requirements:** Users must have Docker installed to leverage the isolated execution environments for model output evaluation. - **Adopt for:** bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments. - **License detail:** bigcode-evaluation-harness is distributed under the Apache-2.0 license. ## 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 bigcode-evaluation-harness if… - Requirements: Users must have Docker installed to leverage the isolated execution environments for model output evaluation.. - Tags unique to bigcode-evaluation-harness: autoregressive-models, code-generation, docker, python. - bigcode-evaluation-harness ships Docker support for self-hosted deployment. - When you need to isolate the evaluation environment from your local development setup, ensuring that no external variables affect the outcomes of model performance assessments. ### Choose GAGE if… - Tags unique to GAGE: agents, audio_models, diffusion-models, evaluation. - 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 bigcode-evaluation-harness - When you require real-time evaluation without the overhead of generating outputs locally and then evaluating them within isolated environments via Docker. - If your model's evaluation process does not necessitate autoregressive setup or the security features provided by Docker, using bigcode-evaluation-harness might introduce unnecessary complexity. ## 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 bigcode-evaluation-harness and GAGE? bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. GAGE: Unified Evaluation Engine for AI Models. See the comparison table for live GitHub stats and shared categories. ### When should I choose bigcode-evaluation-harness over GAGE? Choose bigcode-evaluation-harness over GAGE when Requirements: Users must have Docker installed to leverage the isolated execution environments for model output evaluation.; Tags unique to bigcode-evaluation-harness: autoregressive-models, code-generation, docker, python; bigcode-evaluation-harness ships Docker support for self-hosted deployment; When you need to isolate the evaluation environment from your local development setup, ensuring that no external variables affect the outcomes of model performance assessments. ### When should I choose GAGE over bigcode-evaluation-harness? Choose GAGE over bigcode-evaluation-harness when Tags unique to GAGE: agents, audio_models, diffusion-models, evaluation; 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 bigcode-evaluation-harness? When you require real-time evaluation without the overhead of generating outputs locally and then evaluating them within isolated environments via Docker. If your model's evaluation process does not necessitate autoregressive setup or the security features provided by Docker, using bigcode-evaluation-harness might introduce unnecessary complexity. ### 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 bigcode-evaluation-harness or GAGE more popular on GitHub? bigcode-evaluation-harness has more GitHub stars (1,058 vs 52). Stars measure visibility, not whether either tool fits your constraints. ### Are bigcode-evaluation-harness and GAGE open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to bigcode-evaluation-harness or GAGE? GraphCanon lists graph-backed alternatives at [bigcode-evaluation-harness alternatives](/tools/bigcode-project-bigcode-evaluation-harness/alternatives) and [GAGE alternatives](/tools/hithink-research-gage/alternatives) ([bigcode-evaluation-harness markdown twin](/tools/bigcode-project-bigcode-evaluation-harness/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/bigcode-project-bigcode-evaluation-harness-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, bigcode-evaluation-harness or GAGE? bigcode-evaluation-harness: 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 bigcode-evaluation-harness and GAGE? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [bigcode-evaluation-harness trust report](/tools/bigcode-project-bigcode-evaluation-harness/trust); [GAGE trust report](/tools/hithink-research-gage/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bigcode-project-bigcode-evaluation-harness`](/api/graphcanon/graph?tool=bigcode-project-bigcode-evaluation-harness) - 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/_