Comparison
jailbreak-evaluation vs awesome-ai-guardrails
Verdict
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; pick awesome-ai-guardrails if awesome-ai-guardrails offers a comprehensive list of tools focused on ensuring ethical and secure usage of AI technologies by tackling inappropriate content, offensive language, deepfakes, privacy violations, and more.
Markdown twin · jailbreak-evaluation alternatives · awesome-ai-guardrails alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | jailbreak-evaluation | awesome-ai-guardrails |
|---|---|---|
| Maintenance | Dormant (638d since push) As of 2w · github_public_v1 | Active (10d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- jailbreak-evaluation
- Python package for language model jailbreak evaluation
- awesome-ai-guardrails
- A curated list of materials on AI guardrails
Stars
- jailbreak-evaluation
- 27
- awesome-ai-guardrails
- 62
Forks
- jailbreak-evaluation
- 8
- awesome-ai-guardrails
- 11
Open issues
- jailbreak-evaluation
- 0
- awesome-ai-guardrails
- 1
Language
- jailbreak-evaluation
- Python
- awesome-ai-guardrails
- Python
Adopt for
- 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.
- awesome-ai-guardrails
- awesome-ai-guardrails offers a comprehensive list of tools focused on ensuring ethical and secure usage of AI technologies by tackling inappropriate content, offensive language, deepfakes, privacy violations, and more.
Persona
- jailbreak-evaluation
- -
- awesome-ai-guardrails
- -
Runtime
- jailbreak-evaluation
- -
- awesome-ai-guardrails
- -
License
- jailbreak-evaluation
- Apache-2.0
- awesome-ai-guardrails
- Apache-2.0
Last pushed
- jailbreak-evaluation
- Nov 4, 2024
- awesome-ai-guardrails
- Jul 30, 2026
Categories
- jailbreak-evaluation
- Evaluation & Observability
- awesome-ai-guardrails
- Data & Retrieval, Evaluation & Observability
Trust and health
Maintenance
- jailbreak-evaluation
- Dormant (18%)
- awesome-ai-guardrails
- Active (82%)
Days since push
- jailbreak-evaluation
- 638d
- awesome-ai-guardrails
- 10d
Open issues (now)
- jailbreak-evaluation
- 0
- awesome-ai-guardrails
- 1
Full report
- jailbreak-evaluation
- Trust report
- awesome-ai-guardrails
- Trust report
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.
Choose awesome-ai-guardrails if…
- Tags unique to awesome-ai-guardrails: awesome, deepfake-detection, genai, guardrails.
- Also covers Data & Retrieval.
- When you need to implement robust mechanisms for blocking inappropriate content and offensive language in your AI applications.
When NOT to use awesome-ai-guardrails
- If you are looking for a tool that offers code samples for real-world implementations, as awesome-ai-guardrails primarily serves as a curated list of resources rather than providing executable code.
- Do not use if your project requires continuous support or updates beyond the community-driven contributions maintained within this repository.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (enguard-ai/awesome-ai-guardrails) · observed Aug 9, 2026
- GitHub forks (enguard-ai/awesome-ai-guardrails) · observed Aug 9, 2026
- Last push (enguard-ai/awesome-ai-guardrails) · observed Jul 30, 2026
- License file (Apache-2.0) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: jailbreak-evaluation 27 · awesome-ai-guardrails 62 (synced Aug 5, 2026).
Common questions
- What is the difference between jailbreak-evaluation and awesome-ai-guardrails?
- jailbreak-evaluation: Python package for language model jailbreak evaluation. awesome-ai-guardrails: A curated list of materials on AI guardrails. See the comparison table for live GitHub stats and shared categories.
- When should I choose jailbreak-evaluation over awesome-ai-guardrails?
- Choose jailbreak-evaluation over awesome-ai-guardrails 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 choose awesome-ai-guardrails over jailbreak-evaluation?
- Choose awesome-ai-guardrails over jailbreak-evaluation when Tags unique to awesome-ai-guardrails: awesome, deepfake-detection, genai, guardrails; Also covers Data & Retrieval; When you need to implement robust mechanisms for blocking inappropriate content and offensive language in your AI applications.
- 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.
- When should I avoid awesome-ai-guardrails?
- If you are looking for a tool that offers code samples for real-world implementations, as awesome-ai-guardrails primarily serves as a curated list of resources rather than providing executable code. Do not use if your project requires continuous support or updates beyond the community-driven contributions maintained within this repository.
- Is jailbreak-evaluation or awesome-ai-guardrails more popular on GitHub?
- awesome-ai-guardrails has more GitHub stars (62 vs 27). Stars measure visibility, not whether either tool fits your constraints.
- Are jailbreak-evaluation and awesome-ai-guardrails open source?
- Yes - both are open-source projects on GitHub (jailbreak-evaluation: Apache-2.0, awesome-ai-guardrails: Apache-2.0).
- Where can I find alternatives to jailbreak-evaluation or awesome-ai-guardrails?
- GraphCanon lists graph-backed alternatives at jailbreak-evaluation alternatives and awesome-ai-guardrails alternatives (jailbreak-evaluation markdown twin, awesome-ai-guardrails 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, jailbreak-evaluation or awesome-ai-guardrails?
- jailbreak-evaluation: Dormant. awesome-ai-guardrails: Active. 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 jailbreak-evaluation and awesome-ai-guardrails?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: jailbreak-evaluation trust report; awesome-ai-guardrails trust report.