--- title: "uqlm vs scikit-learn" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cvs-health-uqlm-vs-scikit-learn-scikit-learn" tools: ["cvs-health-uqlm", "scikit-learn-scikit-learn"] --- # uqlm vs scikit-learn *GraphCanon updated Jul 11, 2026* ## Verdict Pick uqlm when license: uqlm is Apache-2.0, scikit-learn is BSD-3-Clause; pick scikit-learn when license: scikit-learn is BSD-3-Clause, uqlm is Apache-2.0. [uqlm](https://cvs-health.github.io/uqlm/latest/index.html) reports 1.2k GitHub stars, 126 forks, and 23 open issues, last pushed Jul 9, 2026. [scikit-learn](https://scikit-learn.org) has 67k stars, 27k forks, and 2.1k open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [uqlm's repository](https://github.com/cvs-health/uqlm) and [scikit-learn's repository](https://github.com/scikit-learn/scikit-learn). | | [uqlm](/tools/cvs-health-uqlm.md) | [scikit-learn](/tools/scikit-learn-scikit-learn.md) | | --- | --- | --- | | Tagline | UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection | scikit-learn: machine learning in Python | | Stars | 1,183 | 66,693 | | Forks | 126 | 27,170 | | Open issues | 23 | 2,102 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | BSD-3-Clause | | Categories | LLM Frameworks, Computer Vision, Evaluation & Observability | Computer Vision, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [uqlm](/tools/cvs-health-uqlm.md) | [scikit-learn](/tools/scikit-learn-scikit-learn.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 23 | 2.1k | | Full report | [trust report](/tools/cvs-health-uqlm/trust.md) | [trust report](/tools/scikit-learn-scikit-learn/trust.md) | ## Shared compatibility - **Python**: [uqlm](/tools/cvs-health-uqlm.md) - Python runtime; [scikit-learn](/tools/scikit-learn-scikit-learn.md) - Python runtime ## Choose when ### Choose uqlm if… - License: uqlm is Apache-2.0, scikit-learn is BSD-3-Clause. - Tags unique to uqlm: ai-safety, hallucination-evaluation, hallucination, hallucination-mitigation. - Also covers LLM Frameworks. ### Choose scikit-learn if… - License: scikit-learn is BSD-3-Clause, uqlm is Apache-2.0. - Tags unique to scikit-learn: data-science, machine-learning, data-analysis, python. - More GitHub stars (67k vs 1.2k) - visibility, not fit. ## When NOT to use uqlm - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## When NOT to use scikit-learn - 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 uqlm and scikit-learn? uqlm: UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection. scikit-learn: scikit-learn: machine learning in Python. See the comparison table for live GitHub stats and shared categories. ### When should I choose uqlm over scikit-learn? Choose uqlm over scikit-learn when License: uqlm is Apache-2.0, scikit-learn is BSD-3-Clause; Tags unique to uqlm: ai-safety, hallucination-evaluation, hallucination, hallucination-mitigation; Also covers LLM Frameworks. ### When should I choose scikit-learn over uqlm? Choose scikit-learn over uqlm when License: scikit-learn is BSD-3-Clause, uqlm is Apache-2.0; Tags unique to scikit-learn: data-science, machine-learning, data-analysis, python; More GitHub stars (67k vs 1.2k) - visibility, not fit. ### When should I avoid uqlm? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### When should I avoid scikit-learn? Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is uqlm or scikit-learn more popular on GitHub? scikit-learn has more GitHub stars (66,693 vs 1,183). Stars measure visibility, not whether either tool fits your constraints. ### Are uqlm and scikit-learn open source? Yes - both are open-source projects on GitHub (uqlm: Apache-2.0, scikit-learn: BSD-3-Clause). ### Where can I find alternatives to uqlm or scikit-learn? GraphCanon lists graph-backed alternatives at [uqlm alternatives](/tools/cvs-health-uqlm/alternatives) and [scikit-learn alternatives](/tools/scikit-learn-scikit-learn/alternatives) ([uqlm markdown twin](/tools/cvs-health-uqlm/alternatives.md), [scikit-learn markdown twin](/tools/scikit-learn-scikit-learn/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-scikit-learn-scikit-learn.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, uqlm or scikit-learn? uqlm: Very active. scikit-learn: Very active. 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 scikit-learn? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [uqlm trust report](/tools/cvs-health-uqlm/trust); [scikit-learn trust report](/tools/scikit-learn-scikit-learn/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/_