Comparison
awesome-ai-safety vs whistleblower
Verdict
Pick awesome-ai-safety if awesome-ai-safety is a curated list of papers and technical articles focused on ensuring AI quality and safety across various machine learning domains including CV and NLP; pick whistleblower if whistleblower is an offensive security tool for AI applications to detect prompt leakage and capability flaws via malicious API probing.
Markdown twin · awesome-ai-safety alternatives · whistleblower alternatives
GraphCanon updated Oct 6, 2026
vs
Trust & integrity
| Signal | awesome-ai-safety | whistleblower |
|---|---|---|
| Maintenance | Dormant (528d since push) As of Sep 25, 2026 · github_public_v1 | Slowing (339d since push) As of Oct 6, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 25, 2026 · github_public_v1 | Not a fork · Organization account As of Oct 6, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 11, 2026 · 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
- awesome-ai-safety
- A curated list of papers and technical articles on AI Quality & Safety
- whistleblower
- A security testing tool for AI applications to uncover prompt leakage and capability flaws via API interactions.
Stars
- awesome-ai-safety
- 222
- whistleblower
- 178
Forks
- awesome-ai-safety
- 43
- whistleblower
- 30
Open issues
- awesome-ai-safety
- 21
- whistleblower
- 13
Language
- awesome-ai-safety
- -
- whistleblower
- Python
Adopt for
- awesome-ai-safety
- awesome-ai-safety is a curated list of papers and technical articles focused on ensuring AI quality and safety across various machine learning domains including CV and NLP.
- whistleblower
- Whistleblower is an offensive security tool for AI applications to detect prompt leakage and capability flaws via malicious API probing.
Persona
- awesome-ai-safety
- -
- whistleblower
- -
Runtime
- awesome-ai-safety
- -
- whistleblower
- -
License
- awesome-ai-safety
- Apache-2.0
- whistleblower
- -
Last pushed
- awesome-ai-safety
- Apr 14, 2025
- whistleblower
- Oct 31, 2025
Categories
- awesome-ai-safety
- Evaluation & Observability
- whistleblower
- Evaluation & Observability
Trust and health
Maintenance
- awesome-ai-safety
- Dormant (18%)
- whistleblower
- Slowing (36%)
Days since push
- awesome-ai-safety
- 528d
- whistleblower
- 339d
Open issues (now)
- awesome-ai-safety
- 21
- whistleblower
- 13
Stars delta
- awesome-ai-safety
- +2 (30d)
- whistleblower
- +1 (30d)
Open issues delta
- awesome-ai-safety
- +4 (30d)
- whistleblower
- 0 (30d)
OSV dependency advisories
- awesome-ai-safety
- No lockfile (source not queried)
- whistleblower
- Published findings
Full report
- awesome-ai-safety
- Trust report
- whistleblower
- Trust report
Choose awesome-ai-safety if…
- Pricing: The repository is free to use under the Apache-2.0 license. However, external resources linked might have their own licensing terms or costs..
- Tags unique to awesome-ai-safety: ai, ai-alignment, ai-quality, ai-safety.
- When you need an aggregated source to explore topics such as AI alignment, robustness, fairness in ML models.
When NOT to use awesome-ai-safety
- Not suitable if your requirement is a repository with hands-on coding examples rather than research papers and articles.
- Avoid this resource if you are searching for datasets or tools that are not in the form of academic literature but practical utilities.
- This platform may not provide sufficient guidance on hardware-specific testing, where practical constraints diverge from theoretical models.
Choose whistleblower if…
- Tags unique to whistleblower: ai-red-teaming, ai-security, hacktoberfest, llm-security.
- When performing ethical hacking on LLM-based apps for security testing
- More recently updated (last pushed Oct 31, 2025).
When NOT to use whistleblower
- If the focus is on non-API interaction based security vulnerabilities
- When working with proprietary or restricted AI models that prohibit external probing
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Giskard-AI/awesome-ai-safety) · observed Sep 25, 2026
- GitHub forks (Giskard-AI/awesome-ai-safety) · observed Sep 25, 2026
- Last push (Giskard-AI/awesome-ai-safety) · observed Apr 14, 2025
- License file (Apache-2.0) · observed Sep 25, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Repello-AI/whistleblower) · observed Oct 6, 2026
- GitHub forks (Repello-AI/whistleblower) · observed Oct 6, 2026
- Last push (Repello-AI/whistleblower) · observed Oct 31, 2025
- License file (unknown) · observed Oct 6, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-ai-safety 222 · whistleblower 178 (synced Sep 25, 2026).
Common questions
- What is the difference between awesome-ai-safety and whistleblower?
- awesome-ai-safety: A curated list of papers and technical articles on AI Quality & Safety. whistleblower: A security testing tool for AI applications to uncover prompt leakage and capability flaws via API interactions.. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-ai-safety over whistleblower?
- Choose awesome-ai-safety over whistleblower when Pricing: The repository is free to use under the Apache-2.0 license. However, external resources linked might have their own licensing terms or costs.; Tags unique to awesome-ai-safety: ai, ai-alignment, ai-quality, ai-safety; When you need an aggregated source to explore topics such as AI alignment, robustness, fairness in ML models.
- When should I choose whistleblower over awesome-ai-safety?
- Choose whistleblower over awesome-ai-safety when Tags unique to whistleblower: ai-red-teaming, ai-security, hacktoberfest, llm-security; When performing ethical hacking on LLM-based apps for security testing; More recently updated (last pushed Oct 31, 2025).
- When should I avoid awesome-ai-safety?
- Not suitable if your requirement is a repository with hands-on coding examples rather than research papers and articles. Avoid this resource if you are searching for datasets or tools that are not in the form of academic literature but practical utilities. This platform may not provide sufficient guidance on hardware-specific testing, where practical constraints diverge from theoretical models.
- When should I avoid whistleblower?
- If the focus is on non-API interaction based security vulnerabilities When working with proprietary or restricted AI models that prohibit external probing
- Is awesome-ai-safety or whistleblower more popular on GitHub?
- awesome-ai-safety has more GitHub stars (222 vs 178). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-ai-safety and whistleblower open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-ai-safety or whistleblower?
- GraphCanon lists graph-backed alternatives at awesome-ai-safety alternatives and whistleblower alternatives (awesome-ai-safety markdown twin, whistleblower 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, awesome-ai-safety or whistleblower?
- awesome-ai-safety: Dormant. whistleblower: 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 awesome-ai-safety and whistleblower?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-ai-safety trust report; whistleblower trust report.