--- title: "fact-checker vs modelz-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jagilley-fact-checker-vs-tensorchord-modelz-llm" tools: ["jagilley-fact-checker", "tensorchord-modelz-llm"] --- # fact-checker vs modelz-llm *GraphCanon updated Jul 12, 2026* ## Verdict Pick fact-checker when fact-checker is primarily Jupyter Notebook; modelz-llm is Python; pick modelz-llm when modelz-llm is primarily Python; 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. [modelz-llm](https://modelz.ai) has 276 stars, 27 forks, and 12 open issues, last pushed Oct 11, 2023. Figures are from public GitHub metadata via [fact-checker's repository](https://github.com/jagilley/fact-checker) and [modelz-llm's repository](https://github.com/tensorchord/modelz-llm). | | [fact-checker](/tools/jagilley-fact-checker.md) | [modelz-llm](/tools/tensorchord-modelz-llm.md) | | --- | --- | --- | | Tagline | Fact-checking LLM outputs with self-ask | OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others) | | Stars | 308 | 276 | | Forks | 40 | 27 | | Open issues | 0 | 12 | | Language | Jupyter Notebook | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | LLM Frameworks, Vector Databases | LLM Frameworks, Model Training, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [fact-checker](/tools/jagilley-fact-checker.md) | [modelz-llm](/tools/tensorchord-modelz-llm.md) | | --- | --- | --- | | Days since push | 991d | 1004d | | Open issues (now) | 0 | 12 | | Owner type | User | Organization | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/jagilley-fact-checker/trust.md) | [trust report](/tools/tensorchord-modelz-llm/trust.md) | ## Shared compatibility - **Python**: [fact-checker](/tools/jagilley-fact-checker.md) - Python runtime; [modelz-llm](/tools/tensorchord-modelz-llm.md) - Python runtime ## Choose when ### Choose fact-checker if… - fact-checker is primarily Jupyter Notebook; modelz-llm is Python. - Tags unique to fact-checker: jupyter notebook. - More GitHub stars (308 vs 276) - visibility, not fit. ### Choose modelz-llm if… - modelz-llm is primarily Python; fact-checker is Jupyter Notebook. - Tags unique to modelz-llm: nlp, openai-api, transformer. - Also covers Model Training. ## 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. - 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. ## When NOT to use modelz-llm - Last GitHub push was 1005 days ago (dormant maintenance, Oct 11, 2023). Validate activity before betting a new project on modelz-llm. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between fact-checker and modelz-llm? fact-checker: Fact-checking LLM outputs with self-ask. modelz-llm: OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others). See the comparison table for live GitHub stats and shared categories. ### When should I choose fact-checker over modelz-llm? Choose fact-checker over modelz-llm when fact-checker is primarily Jupyter Notebook; modelz-llm is Python; Tags unique to fact-checker: jupyter notebook; More GitHub stars (308 vs 276) - visibility, not fit. ### When should I choose modelz-llm over fact-checker? Choose modelz-llm over fact-checker when modelz-llm is primarily Python; fact-checker is Jupyter Notebook; Tags unique to modelz-llm: nlp, openai-api, transformer; Also covers Model Training. ### 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. 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. ### When should I avoid modelz-llm? Last GitHub push was 1005 days ago (dormant maintenance, Oct 11, 2023). Validate activity before betting a new project on modelz-llm. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is fact-checker or modelz-llm more popular on GitHub? fact-checker has more GitHub stars (308 vs 276). Stars measure visibility, not whether either tool fits your constraints. ### Are fact-checker and modelz-llm open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to fact-checker or modelz-llm? GraphCanon lists graph-backed alternatives at [fact-checker alternatives](/tools/jagilley-fact-checker/alternatives) and [modelz-llm alternatives](/tools/tensorchord-modelz-llm/alternatives) ([fact-checker markdown twin](/tools/jagilley-fact-checker/alternatives.md), [modelz-llm markdown twin](/tools/tensorchord-modelz-llm/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-tensorchord-modelz-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, fact-checker or modelz-llm? fact-checker: Dormant. modelz-llm: 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 fact-checker and modelz-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [fact-checker trust report](/tools/jagilley-fact-checker/trust); [modelz-llm trust report](/tools/tensorchord-modelz-llm/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/_