--- title: "uqlm vs plexiglass" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cvs-health-uqlm-vs-safellama-plexiglass" tools: ["cvs-health-uqlm", "safellama-plexiglass"] --- # uqlm vs plexiglass *GraphCanon updated Aug 8, 2026* ## Verdict Pick uqlm if uqlm offers specialized Python capabilities for quantifying uncertainty to improve confidence in language model outputs and reduce hallucinations; pick plexiglass if plexiglass is a toolkit for detecting and mitigating vulnerabilities in Large Language Models through adversarial attacks and deep-learning techniques. [uqlm](https://cvs-health.github.io/uqlm/latest/index.html) reports 1.2k GitHub stars, 129 forks, and 25 open issues, last pushed Aug 3, 2026. [plexiglass](https://github.com/safellama/plexiglass) has 153 stars, 18 forks, and 0 open issues, last pushed Feb 4, 2026. Figures are from public GitHub metadata via [uqlm's repository](https://github.com/cvs-health/uqlm) and [plexiglass's repository](https://github.com/safellama/plexiglass). | | [uqlm](/tools/cvs-health-uqlm.md) | [plexiglass](/tools/safellama-plexiglass.md) | | --- | --- | --- | | Tagline | A Python package for uncertainty quantification in LLM hallucination detection | A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs). | | Stars | 1,188 | 153 | | Forks | 129 | 18 | | Open issues | 25 | 0 | | Language | Python | Python | | Adopt for | uqlm offers specialized Python capabilities for quantifying uncertainty to improve confidence in language model outputs and reduce hallucinations. | Plexiglass is a toolkit for detecting and mitigating vulnerabilities in Large Language Models through adversarial attacks and deep-learning techniques. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [uqlm](/tools/cvs-health-uqlm.md) | [plexiglass](/tools/safellama-plexiglass.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 4d | 178d | | Open issues (now) | 25 | 0 | | Full report | [trust report](/tools/cvs-health-uqlm/trust.md) | [trust report](/tools/safellama-plexiglass/trust.md) | ## Shared compatibility - **Python**: [uqlm](/tools/cvs-health-uqlm.md) - Python runtime; [plexiglass](/tools/safellama-plexiglass.md) - Python runtime ## Decision facts: uqlm - **Adopt for:** uqlm offers specialized Python capabilities for quantifying uncertainty to improve confidence in language model outputs and reduce hallucinations. ## Decision facts: plexiglass - **Adopt for:** Plexiglass is a toolkit for detecting and mitigating vulnerabilities in Large Language Models through adversarial attacks and deep-learning techniques. ## Choose when ### Choose uqlm if… - Tags unique to uqlm: ai safety, ai-evaluation, confidence-estimation, hallucination-detection. - When precise estimation of confidence scores is needed to ensure reliability in language model predictions. - More GitHub stars (1.2k vs 153) - visibility, not fit. ### Choose plexiglass if… - Tags unique to plexiglass: adversarial-attacks, adversarial-machine-learning, cybersecurity, deep-learning. - When a team needs to evaluate the robustness of their LLM against specific adversarial attack vectors within Python-based projects. - Leaner open-issue backlog (0). ## When NOT to use uqlm - If working exclusively with non-language-based machine learning models, as uqlm focuses on text outputs from LLMs. - When simple plug-and-play performance metrics suffice; uqlm requires a more intricate setup for uncertainty quantification and confidence estimation. ## When NOT to use plexiglass - If a project is not using Python, because Plexiglass is specifically built for Python environments. - When the team does not have access to the deep-learning techniques required by Plexiglass, as it heavily relies on such methods to mitigate vulnerabilities. ## Common questions ### What is the difference between uqlm and plexiglass? uqlm: A Python package for uncertainty quantification in LLM hallucination detection. plexiglass: A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).. See the comparison table for live GitHub stats and shared categories. ### When should I choose uqlm over plexiglass? Choose uqlm over plexiglass when Tags unique to uqlm: ai safety, ai-evaluation, confidence-estimation, hallucination-detection; When precise estimation of confidence scores is needed to ensure reliability in language model predictions; More GitHub stars (1.2k vs 153) - visibility, not fit. ### When should I choose plexiglass over uqlm? Choose plexiglass over uqlm when Tags unique to plexiglass: adversarial-attacks, adversarial-machine-learning, cybersecurity, deep-learning; When a team needs to evaluate the robustness of their LLM against specific adversarial attack vectors within Python-based projects; Leaner open-issue backlog (0). ### When should I avoid uqlm? If working exclusively with non-language-based machine learning models, as uqlm focuses on text outputs from LLMs. When simple plug-and-play performance metrics suffice; uqlm requires a more intricate setup for uncertainty quantification and confidence estimation. ### When should I avoid plexiglass? If a project is not using Python, because Plexiglass is specifically built for Python environments. When the team does not have access to the deep-learning techniques required by Plexiglass, as it heavily relies on such methods to mitigate vulnerabilities. ### Is uqlm or plexiglass more popular on GitHub? uqlm has more GitHub stars (1,188 vs 153). Stars measure visibility, not whether either tool fits your constraints. ### Are uqlm and plexiglass open source? Yes - both are open-source projects on GitHub (uqlm: Apache-2.0, plexiglass: Apache-2.0). ### Where can I find alternatives to uqlm or plexiglass? GraphCanon lists graph-backed alternatives at [uqlm alternatives](/tools/cvs-health-uqlm/alternatives) and [plexiglass alternatives](/tools/safellama-plexiglass/alternatives) ([uqlm markdown twin](/tools/cvs-health-uqlm/alternatives.md), [plexiglass markdown twin](/tools/safellama-plexiglass/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/cvs-health-uqlm-vs-safellama-plexiglass.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, uqlm or plexiglass? uqlm: Very active. plexiglass: 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 uqlm and plexiglass? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [uqlm trust report](/tools/cvs-health-uqlm/trust); [plexiglass trust report](/tools/safellama-plexiglass/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cvs-health-uqlm`](/api/graphcanon/graph?tool=cvs-health-uqlm) - 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/_