--- title: "bigcode-evaluation-harness vs jailbreak-evaluation" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigcode-project-bigcode-evaluation-harness-vs-controllability-jailbreak-evaluation" tools: ["bigcode-project-bigcode-evaluation-harness", "controllability-jailbreak-evaluation"] --- # bigcode-evaluation-harness vs jailbreak-evaluation *GraphCanon updated Aug 5, 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 jailbreak-evaluation if jailbreak-evaluation is a Python package aimed at evaluating if AI models have been jailbroken by generating outputs that diverge from expected programming. [bigcode-evaluation-harness](https://github.com/bigcode-project/bigcode-evaluation-harness) reports 1.1k GitHub stars, 261 forks, and 96 open issues, last pushed Jul 22, 2025. [jailbreak-evaluation](https://arxiv.org/abs/2404.06407) has 27 stars, 8 forks, and 0 open issues, last pushed Nov 4, 2024. Figures are from public GitHub metadata via [bigcode-evaluation-harness's repository](https://github.com/bigcode-project/bigcode-evaluation-harness) and [jailbreak-evaluation's repository](https://github.com/controllability/jailbreak-evaluation). | | [bigcode-evaluation-harness](/tools/bigcode-project-bigcode-evaluation-harness.md) | [jailbreak-evaluation](/tools/controllability-jailbreak-evaluation.md) | | --- | --- | --- | | Tagline | A framework for evaluating autoregressive code generation language models. | Python package for language model jailbreak evaluation | | Stars | 1,055 | 27 | | Forks | 261 | 8 | | Open issues | 96 | 0 | | 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. | jailbreak-evaluation is a Python package aimed at evaluating if AI models have been jailbroken by generating outputs that diverge from expected programming. | | Persona | - | - | | Runtime | - | - | | License | bigcode-evaluation-harness is distributed under the Apache-2.0 license. | Apache-2.0 | | 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) | [jailbreak-evaluation](/tools/controllability-jailbreak-evaluation.md) | | --- | --- | --- | | Days since push | 378d | 638d | | Open issues (now) | 96 | 0 | | Full report | [trust report](/tools/bigcode-project-bigcode-evaluation-harness/trust.md) | [trust report](/tools/controllability-jailbreak-evaluation/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: jailbreak-evaluation - **Requirements:** The tool depends on having PyTorch and FastChat installed; An API key from the OpenAI Platform is required for full functionality - **Adopt for:** jailbreak-evaluation is a Python package aimed at evaluating if AI models have been jailbroken by generating outputs that diverge from expected programming. ## 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 jailbreak-evaluation if… - Requirements: The tool depends on having PyTorch and FastChat installed; An API key from the OpenAI Platform is required for full functionality. - Tags unique to jailbreak-evaluation: ai safety, evaluation tools, jailbreaks, language-models. - When you need to assess whether an AI model can be manipulated to produce unpredictable or unintended outcomes through specific inputs, such as jailbreaking. ## 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 jailbreak-evaluation - If your project does not involve assessing the security or integrity of how an AI model responds to manipulative input techniques designed to exploit design weaknesses. - When you do not need dependencies on specific frameworks like PyTorch and FastChat, as jailbreak-evaluation requires these without automating their installation. ## Common questions ### What is the difference between bigcode-evaluation-harness and jailbreak-evaluation? bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. jailbreak-evaluation: Python package for language model jailbreak evaluation. See the comparison table for live GitHub stats and shared categories. ### When should I choose bigcode-evaluation-harness over jailbreak-evaluation? Choose bigcode-evaluation-harness over jailbreak-evaluation 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 jailbreak-evaluation over bigcode-evaluation-harness? Choose jailbreak-evaluation over bigcode-evaluation-harness when Requirements: The tool depends on having PyTorch and FastChat installed; An API key from the OpenAI Platform is required for full functionality; Tags unique to jailbreak-evaluation: ai safety, evaluation tools, jailbreaks, language-models; When you need to assess whether an AI model can be manipulated to produce unpredictable or unintended outcomes through specific inputs, such as jailbreaking. ### 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 jailbreak-evaluation? If your project does not involve assessing the security or integrity of how an AI model responds to manipulative input techniques designed to exploit design weaknesses. When you do not need dependencies on specific frameworks like PyTorch and FastChat, as jailbreak-evaluation requires these without automating their installation. ### Is bigcode-evaluation-harness or jailbreak-evaluation more popular on GitHub? bigcode-evaluation-harness has more GitHub stars (1,055 vs 27). Stars measure visibility, not whether either tool fits your constraints. ### Are bigcode-evaluation-harness and jailbreak-evaluation open source? Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, jailbreak-evaluation: Apache-2.0). ### Where can I find alternatives to bigcode-evaluation-harness or jailbreak-evaluation? GraphCanon lists graph-backed alternatives at [bigcode-evaluation-harness alternatives](/tools/bigcode-project-bigcode-evaluation-harness/alternatives) and [jailbreak-evaluation alternatives](/tools/controllability-jailbreak-evaluation/alternatives) ([bigcode-evaluation-harness markdown twin](/tools/bigcode-project-bigcode-evaluation-harness/alternatives.md), [jailbreak-evaluation markdown twin](/tools/controllability-jailbreak-evaluation/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-controllability-jailbreak-evaluation.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 jailbreak-evaluation? bigcode-evaluation-harness: Dormant. jailbreak-evaluation: 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 bigcode-evaluation-harness and jailbreak-evaluation? 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); [jailbreak-evaluation trust report](/tools/controllability-jailbreak-evaluation/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/_