Comparison
bigcode-evaluation-harness vs jailbreak-evaluation
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.
Markdown twin · bigcode-evaluation-harness alternatives · jailbreak-evaluation alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | bigcode-evaluation-harness | jailbreak-evaluation |
|---|---|---|
| Maintenance | Dormant (378d since push) As of 2w · github_public_v1 | Dormant (638d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) 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
- bigcode-evaluation-harness
- A framework for evaluating autoregressive code generation language models.
- jailbreak-evaluation
- Python package for language model jailbreak evaluation
Stars
- bigcode-evaluation-harness
- 1.1k
- jailbreak-evaluation
- 27
Forks
- bigcode-evaluation-harness
- 261
- jailbreak-evaluation
- 8
Open issues
- bigcode-evaluation-harness
- 96
- jailbreak-evaluation
- 0
Language
- bigcode-evaluation-harness
- Python
- jailbreak-evaluation
- Python
Adopt for
- bigcode-evaluation-harness
- bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments.
- jailbreak-evaluation
- jailbreak-evaluation is a Python package aimed at evaluating if AI models have been jailbroken by generating outputs that diverge from expected programming.
Persona
- bigcode-evaluation-harness
- -
- jailbreak-evaluation
- -
Runtime
- bigcode-evaluation-harness
- -
- jailbreak-evaluation
- -
License
- bigcode-evaluation-harness
- bigcode-evaluation-harness is distributed under the Apache-2.0 license.
- jailbreak-evaluation
- Apache-2.0
Last pushed
- bigcode-evaluation-harness
- Jul 22, 2025
- jailbreak-evaluation
- Nov 4, 2024
Categories
- bigcode-evaluation-harness
- Evaluation & Observability
- jailbreak-evaluation
- Evaluation & Observability
Trust and health
Days since push
- bigcode-evaluation-harness
- 378d
- jailbreak-evaluation
- 638d
Open issues (now)
- bigcode-evaluation-harness
- 96
- jailbreak-evaluation
- 0
OSV dependency advisories
- bigcode-evaluation-harness
- Published findings
- jailbreak-evaluation
- No lockfile (source not queried)
Full report
- bigcode-evaluation-harness
- Trust report
- jailbreak-evaluation
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (bigcode-project/bigcode-evaluation-harness) · observed Aug 5, 2026
- GitHub forks (bigcode-project/bigcode-evaluation-harness) · observed Aug 5, 2026
- Last push (bigcode-project/bigcode-evaluation-harness) · observed Jul 22, 2025
- License file (Apache-2.0) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (controllability/jailbreak-evaluation) · observed Aug 5, 2026
- GitHub forks (controllability/jailbreak-evaluation) · observed Aug 5, 2026
- Last push (controllability/jailbreak-evaluation) · observed Nov 4, 2024
- License file (Apache-2.0) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: bigcode-evaluation-harness 1.1k · jailbreak-evaluation 27 (synced Aug 5, 2026).
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 and jailbreak-evaluation alternatives (bigcode-evaluation-harness markdown twin, jailbreak-evaluation 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, 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; jailbreak-evaluation trust report.