--- title: "whistleblower vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/repello-ai-whistleblower-vs-sindresorhus-awesome" tools: ["repello-ai-whistleblower", "sindresorhus-awesome"] --- # whistleblower vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick whistleblower when tags unique to whistleblower: jailbreaks, hacktoberfest, hacktoberfest2025, ai-security; pick awesome when tags unique to awesome: resources, awesome-list. [whistleblower](https://repello.ai/product) reports 157 GitHub stars, 26 forks, and 13 open issues, last pushed Oct 31, 2025. [awesome](https://github.com/sindresorhus/awesome) has 484k stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [whistleblower's repository](https://github.com/Repello-AI/whistleblower) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [whistleblower](/tools/repello-ai-whistleblower.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | Whistleblower is a offensive security tool for testing against system prompt leakage and capability discovery of an AI application exposed through API. Built for AI engineers, security researchers and | 😎 Curated list of awesome topics including hardware resources | | Stars | 157 | 484,026 | | Forks | 26 | 35,799 | | Open issues | 13 | 92 | | Language | Python | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | - | CC0-1.0 | | Categories | LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [whistleblower](/tools/repello-ai-whistleblower.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 253d | 11d | | Open issues (now) | 13 | 92 | | Owner type | Organization | User | | Security scan | 10 low (10 low) | No lockfile | | Full report | [trust report](/tools/repello-ai-whistleblower/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Choose when ### Choose whistleblower if… - Tags unique to whistleblower: jailbreaks, hacktoberfest, hacktoberfest2025, ai-security. - Leaner open-issue backlog (13). ### Choose awesome if… - Tags unique to awesome: resources, awesome-list. - More GitHub stars (484k vs 157) - visibility, not fit. ## When NOT to use whistleblower - Last GitHub push was 253 days ago (slowing maintenance, Oct 31, 2025). Validate activity before betting a new project on whistleblower. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use awesome - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between whistleblower and awesome? whistleblower: Whistleblower is a offensive security tool for testing against system prompt leakage and capability discovery of an AI application exposed through API. Built for AI engineers, security researchers and. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose whistleblower over awesome? Choose whistleblower over awesome when Tags unique to whistleblower: jailbreaks, hacktoberfest, hacktoberfest2025, ai-security; Leaner open-issue backlog (13). ### When should I choose awesome over whistleblower? Choose awesome over whistleblower when Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 157) - visibility, not fit. ### When should I avoid whistleblower? Last GitHub push was 253 days ago (slowing maintenance, Oct 31, 2025). Validate activity before betting a new project on whistleblower. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid awesome? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is whistleblower or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 157). Stars measure visibility, not whether either tool fits your constraints. ### Are whistleblower and awesome open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to whistleblower or awesome? GraphCanon lists graph-backed alternatives at [whistleblower alternatives](/tools/repello-ai-whistleblower/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([whistleblower markdown twin](/tools/repello-ai-whistleblower/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/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/repello-ai-whistleblower-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, whistleblower or awesome? whistleblower: Slowing. awesome: 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 whistleblower and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [whistleblower trust report](/tools/repello-ai-whistleblower/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=repello-ai-whistleblower`](/api/graphcanon/graph?tool=repello-ai-whistleblower) - 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/_