--- title: "fact-checker vs anti-lie" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jagilley-fact-checker-vs-lc198707-anti-lie" tools: ["jagilley-fact-checker", "lc198707-anti-lie"] --- # fact-checker vs anti-lie *GraphCanon updated Aug 15, 2026* ## Verdict Pick fact-checker if `fact-checker` utilizes prompt chaining in Jupyter Notebook to fact-check Language Model outputs, enhancing the accuracy and reliability of responses; pick anti-lie if anti-Lie offers an LLM claim auditing layer using T1-T7 truth gradients to achieve high business effectiveness on fact-checking benchmarks. [fact-checker](https://github.com/jagilley/fact-checker) reports 313 GitHub stars, 39 forks, and 0 open issues, last pushed Oct 23, 2023. [anti-lie](https://github.com/lc198707/anti-lie) has 89 stars, 7 forks, and 0 open issues, last pushed May 10, 2026. Figures are from public GitHub metadata via [fact-checker's repository](https://github.com/jagilley/fact-checker) and [anti-lie's repository](https://github.com/lc198707/anti-lie). | | [fact-checker](/tools/jagilley-fact-checker.md) | [anti-lie](/tools/lc198707-anti-lie.md) | | --- | --- | --- | | Tagline | Fact-checking LLM outputs with self-ask | An LLM Claim Auditing Layer with truth gradients for verifying factual claims | | Stars | 313 | 89 | | Forks | 39 | 7 | | Open issues | 0 | 0 | | Language | Jupyter Notebook | Python | | Adopt for | `fact-checker` utilizes prompt chaining in Jupyter Notebook to fact-check Language Model outputs, enhancing the accuracy and reliability of responses. | Anti-Lie offers an LLM claim auditing layer using T1-T7 truth gradients to achieve high business effectiveness on fact-checking benchmarks. | | Persona | - | - | | Runtime | - | - | | License | - | MIT License, allows easy integration, inspection, forks, embeds, and improvements of the tool in various agent runtimes and audit systems. | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [fact-checker](/tools/jagilley-fact-checker.md) | [anti-lie](/tools/lc198707-anti-lie.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 1026d | 90d | | Stars delta | +4 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/jagilley-fact-checker/trust.md) | [trust report](/tools/lc198707-anti-lie/trust.md) | ## Shared compatibility - **Python**: [fact-checker](/tools/jagilley-fact-checker.md) - Python runtime; [anti-lie](/tools/lc198707-anti-lie.md) - Python runtime ## Decision facts: fact-checker - **Pricing:** unknown - The licensing information for `fact-checker` is unclear, indicating that further investigation into its legal usage might be required before implementation. - **Requirements:** Requires Python and possibly Jupyter Notebook environment for running the provided IPython notebook script or command-line script. - **Adopt for:** `fact-checker` utilizes prompt chaining in Jupyter Notebook to fact-check Language Model outputs, enhancing the accuracy and reliability of responses. ## Decision facts: anti-lie - **Pricing:** freemium - The software is free (open source). However, additional compliance documents may incur costs or delays. - **Adopt for:** Anti-Lie offers an LLM claim auditing layer using T1-T7 truth gradients to achieve high business effectiveness on fact-checking benchmarks. - **License detail:** MIT License, allows easy integration, inspection, forks, embeds, and improvements of the tool in various agent runtimes and audit systems. ## Choose when ### Choose fact-checker if… - fact-checker is primarily Jupyter Notebook; anti-lie is Python. - Pricing: The licensing information for `fact-checker` is unclear, indicating that further investigation into its legal usage might be required before implementation.. - Requirements: Requires Python and possibly Jupyter Notebook environment for running the provided IPython notebook script or command-line script.. - Tags unique to fact-checker: fact-checking, llm, prompt-chaining, python. - - When you need to verify the accuracy of assumptions made by a Language Model’s initial response through self-ask methodologies. ### Choose anti-lie if… - anti-lie is primarily Python; fact-checker is Jupyter Notebook. - Pricing: The software is free (open source). However, additional compliance documents may incur costs or delays.. - Tags unique to anti-lie: agent-skills, ai safety, anti-lie, audit. - When you require high accuracy in verifying factual claims made by LLMs, achieving a reported 98.1% effectiveness on benchmark testing with LiarBench v0.2 ## When NOT to use fact-checker - - If an immediate answer is required without the step-by-step reassessment process, as `fact-checker` involves sequential validation that could be time-consuming. - - In situations where real-time interaction is critical and a delay from additional self-interrogation steps would not be beneficial for user experience. ## When NOT to use anti-lie - When the target platform is not Linux or macOS, as current service definitions are specific to these operating systems (systemd for Linux, launchd for macOS) - If your project does not require an outbound hook bundle including both a Python verifier and a Node.js shadow worker ## Common questions ### What is the difference between fact-checker and anti-lie? fact-checker: Fact-checking LLM outputs with self-ask. anti-lie: An LLM Claim Auditing Layer with truth gradients for verifying factual claims. See the comparison table for live GitHub stats and shared categories. ### When should I choose fact-checker over anti-lie? Choose fact-checker over anti-lie when fact-checker is primarily Jupyter Notebook; anti-lie is Python; Pricing: The licensing information for `fact-checker` is unclear, indicating that further investigation into its legal usage might be required before implementation.; Requirements: Requires Python and possibly Jupyter Notebook environment for running the provided IPython notebook script or command-line script.; Tags unique to fact-checker: fact-checking, llm, prompt-chaining, python; - When you need to verify the accuracy of assumptions made by a Language Model’s initial response through self-ask methodologies. ### When should I choose anti-lie over fact-checker? Choose anti-lie over fact-checker when anti-lie is primarily Python; fact-checker is Jupyter Notebook; Pricing: The software is free (open source). However, additional compliance documents may incur costs or delays.; Tags unique to anti-lie: agent-skills, ai safety, anti-lie, audit; When you require high accuracy in verifying factual claims made by LLMs, achieving a reported 98.1% effectiveness on benchmark testing with LiarBench v0.2. ### When should I avoid fact-checker? - If an immediate answer is required without the step-by-step reassessment process, as `fact-checker` involves sequential validation that could be time-consuming. - In situations where real-time interaction is critical and a delay from additional self-interrogation steps would not be beneficial for user experience. ### When should I avoid anti-lie? When the target platform is not Linux or macOS, as current service definitions are specific to these operating systems (systemd for Linux, launchd for macOS) If your project does not require an outbound hook bundle including both a Python verifier and a Node.js shadow worker ### Is fact-checker or anti-lie more popular on GitHub? fact-checker has more GitHub stars (313 vs 89). Stars measure visibility, not whether either tool fits your constraints. ### Are fact-checker and anti-lie open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to fact-checker or anti-lie? GraphCanon lists graph-backed alternatives at [fact-checker alternatives](/tools/jagilley-fact-checker/alternatives) and [anti-lie alternatives](/tools/lc198707-anti-lie/alternatives) ([fact-checker markdown twin](/tools/jagilley-fact-checker/alternatives.md), [anti-lie markdown twin](/tools/lc198707-anti-lie/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-lc198707-anti-lie.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, fact-checker or anti-lie? fact-checker: Dormant. anti-lie: 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 fact-checker and anti-lie? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [fact-checker trust report](/tools/jagilley-fact-checker/trust); [anti-lie trust report](/tools/lc198707-anti-lie/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/_