--- title: "fact-checker vs rebuff" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jagilley-fact-checker-vs-protectai-rebuff" tools: ["jagilley-fact-checker", "protectai-rebuff"] --- # fact-checker vs rebuff *GraphCanon updated Jul 12, 2026* ## Verdict Pick fact-checker when fact-checker is primarily Jupyter Notebook; rebuff is TypeScript; pick rebuff when rebuff is primarily TypeScript; fact-checker is Jupyter Notebook. [fact-checker](https://github.com/jagilley/fact-checker) reports 308 GitHub stars, 40 forks, and 0 open issues, last pushed Oct 23, 2023. [rebuff](https://playground.rebuff.ai) has 1.5k stars, 137 forks, and 33 open issues, last pushed Aug 7, 2024. Figures are from public GitHub metadata via [fact-checker's repository](https://github.com/jagilley/fact-checker) and [rebuff's repository](https://github.com/protectai/rebuff). | | [fact-checker](/tools/jagilley-fact-checker.md) | [rebuff](/tools/protectai-rebuff.md) | | --- | --- | --- | | Tagline | Fact-checking LLM outputs with self-ask | LLM Prompt Injection Detector | | Stars | 308 | 1,511 | | Forks | 40 | 137 | | Open issues | 0 | 33 | | Language | Jupyter Notebook | TypeScript | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Vector Databases, LLM Frameworks | LLM Frameworks, Vector Databases, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [fact-checker](/tools/jagilley-fact-checker.md) | [rebuff](/tools/protectai-rebuff.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Archived (8%) | | Days since push | 991d | 703d | | Archived on GitHub | No | Yes | | Open issues (now) | 0 | 33 | | Owner type | User | Organization | | Full report | [trust report](/tools/jagilley-fact-checker/trust.md) | [trust report](/tools/protectai-rebuff/trust.md) | ## Shared compatibility - **Python**: [fact-checker](/tools/jagilley-fact-checker.md) - Python runtime; [rebuff](/tools/protectai-rebuff.md) - Python runtime ## Choose when ### Choose fact-checker if… - fact-checker is primarily Jupyter Notebook; rebuff is TypeScript. - Tags unique to fact-checker: python, jupyter notebook. - Leaner open-issue backlog (0). ### Choose rebuff if… - rebuff is primarily TypeScript; fact-checker is Jupyter Notebook. - Tags unique to rebuff: llmops, prompt-injection, prompts, security. - Also covers Evaluation & Observability. ## When NOT to use fact-checker - Last GitHub push was 992 days ago (dormant maintenance, Oct 23, 2023). Validate activity before betting a new project on fact-checker. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use rebuff - rebuff is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Common questions ### What is the difference between fact-checker and rebuff? fact-checker: Fact-checking LLM outputs with self-ask. rebuff: LLM Prompt Injection Detector. See the comparison table for live GitHub stats and shared categories. ### When should I choose fact-checker over rebuff? Choose fact-checker over rebuff when fact-checker is primarily Jupyter Notebook; rebuff is TypeScript; Tags unique to fact-checker: python, jupyter notebook; Leaner open-issue backlog (0). ### When should I choose rebuff over fact-checker? Choose rebuff over fact-checker when rebuff is primarily TypeScript; fact-checker is Jupyter Notebook; Tags unique to rebuff: llmops, prompt-injection, prompts, security; Also covers Evaluation & Observability. ### When should I avoid fact-checker? Last GitHub push was 992 days ago (dormant maintenance, Oct 23, 2023). Validate activity before betting a new project on fact-checker. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid rebuff? rebuff is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is fact-checker or rebuff more popular on GitHub? rebuff has more GitHub stars (1,511 vs 308). Stars measure visibility, not whether either tool fits your constraints. ### Are fact-checker and rebuff open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to fact-checker or rebuff? GraphCanon lists graph-backed alternatives at [fact-checker alternatives](/tools/jagilley-fact-checker/alternatives) and [rebuff alternatives](/tools/protectai-rebuff/alternatives) ([fact-checker markdown twin](/tools/jagilley-fact-checker/alternatives.md), [rebuff markdown twin](/tools/protectai-rebuff/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/jagilley-fact-checker-vs-protectai-rebuff.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, fact-checker or rebuff? fact-checker: Dormant. rebuff: Archived. 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 fact-checker and rebuff? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [fact-checker trust report](/tools/jagilley-fact-checker/trust); [rebuff trust report](/tools/protectai-rebuff/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jagilley-fact-checker`](/api/graphcanon/graph?tool=jagilley-fact-checker) - 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/_