--- title: "uqlm vs lmql" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cvs-health-uqlm-vs-eth-sri-lmql" tools: ["cvs-health-uqlm", "eth-sri-lmql"] --- # uqlm vs lmql *GraphCanon updated Aug 16, 2026* ## Verdict Pick uqlm if uqlm offers specialized Python capabilities for quantifying uncertainty to improve confidence in language model outputs and reduce hallucinations; pick lmql if facilitates LLM programming with constraints for efficiency, Python-based. [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. [lmql](https://lmql.ai) has 4.2k stars, 221 forks, and 120 open issues, last pushed May 22, 2025. Figures are from public GitHub metadata via [uqlm's repository](https://github.com/cvs-health/uqlm) and [lmql's repository](https://github.com/eth-sri/lmql). | | [uqlm](/tools/cvs-health-uqlm.md) | [lmql](/tools/eth-sri-lmql.md) | | --- | --- | --- | | Tagline | A Python package for uncertainty quantification in LLM hallucination detection | A language for constraint-guided and efficient LLM programming. | | Stars | 1,188 | 4,203 | | Forks | 129 | 221 | | Open issues | 25 | 120 | | Language | Python | Python | | Adopt for | uqlm offers specialized Python capabilities for quantifying uncertainty to improve confidence in language model outputs and reduce hallucinations. | Facilitates LLM programming with constraints for efficiency, Python-based. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Evaluation & Observability | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [uqlm](/tools/cvs-health-uqlm.md) | [lmql](/tools/eth-sri-lmql.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 4d | 450d | | Open issues (now) | 25 | 120 | | Stars delta | Unknown | +1 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/cvs-health-uqlm/trust.md) | [trust report](/tools/eth-sri-lmql/trust.md) | ## Shared compatibility - **Python**: [uqlm](/tools/cvs-health-uqlm.md) - Python runtime; [lmql](/tools/eth-sri-lmql.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: lmql - **Adopt for:** Facilitates LLM programming with constraints for efficiency, Python-based. ## Choose when ### Choose uqlm if… - Tags unique to uqlm: ai safety, ai-evaluation, confidence-estimation, hallucination-detection. - Also covers Evaluation & Observability. - When precise estimation of confidence scores is needed to ensure reliability in language model predictions. ### Choose lmql if… - Tags unique to lmql: chatgpt, huggingface, language-model, programming-language. - Also covers LLM Frameworks. - When needing precise control over language model output through programmable constraints ## 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 lmql - For general-purpose coding without leveraging specific LLM functionalities - If the project does not benefit from constraint-guided interactions with language models ## Common questions ### What is the difference between uqlm and lmql? uqlm: A Python package for uncertainty quantification in LLM hallucination detection. lmql: A language for constraint-guided and efficient LLM programming.. See the comparison table for live GitHub stats and shared categories. ### When should I choose uqlm over lmql? Choose uqlm over lmql when Tags unique to uqlm: ai safety, ai-evaluation, confidence-estimation, hallucination-detection; Also covers Evaluation & Observability; When precise estimation of confidence scores is needed to ensure reliability in language model predictions. ### When should I choose lmql over uqlm? Choose lmql over uqlm when Tags unique to lmql: chatgpt, huggingface, language-model, programming-language; Also covers LLM Frameworks; When needing precise control over language model output through programmable constraints. ### 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 lmql? For general-purpose coding without leveraging specific LLM functionalities If the project does not benefit from constraint-guided interactions with language models ### Is uqlm or lmql more popular on GitHub? lmql has more GitHub stars (4,203 vs 1,188). Stars measure visibility, not whether either tool fits your constraints. ### Are uqlm and lmql open source? Yes - both are open-source projects on GitHub (uqlm: Apache-2.0, lmql: Apache-2.0). ### Where can I find alternatives to uqlm or lmql? GraphCanon lists graph-backed alternatives at [uqlm alternatives](/tools/cvs-health-uqlm/alternatives) and [lmql alternatives](/tools/eth-sri-lmql/alternatives) ([uqlm markdown twin](/tools/cvs-health-uqlm/alternatives.md), [lmql markdown twin](/tools/eth-sri-lmql/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-eth-sri-lmql.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, uqlm or lmql? uqlm: Very active. lmql: 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 uqlm and lmql? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [uqlm trust report](/tools/cvs-health-uqlm/trust); [lmql trust report](/tools/eth-sri-lmql/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/_