---
title: "uqlm vs langkit"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/cvs-health-uqlm-vs-whylabs-langkit"
tools: ["cvs-health-uqlm", "whylabs-langkit"]
---

# uqlm vs langkit

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick uqlm if uqlm offers specialized Python capabilities for quantifying uncertainty to improve confidence in language model outputs and reduce hallucinations; pick langkit if langKit is an open-source toolkit for monitoring Large Language Models (LLMs), offering features such as text quality, relevance metrics, and sentiment analysis to ensure safety and security.

[uqlm](https://cvs-health.github.io/uqlm/latest/index.html) reports 1.2k GitHub stars, 131 forks, and 23 open issues, last pushed Sep 7, 2026. [langkit](https://whylabs.ai) has 997 stars, 74 forks, and 37 open issues, last pushed Nov 22, 2024. Figures are from public GitHub metadata via [uqlm's repository](https://github.com/cvs-health/uqlm) and [langkit's repository](https://github.com/whylabs/langkit).

| | [uqlm](/tools/cvs-health-uqlm.md) | [langkit](/tools/whylabs-langkit.md) |
| --- | --- | --- |
| Tagline | A Python package for uncertainty quantification in LLM hallucination detection | An open-source toolkit for monitoring Large Language Models (LLMs) |
| Stars | 1,196 | 997 |
| Forks | 131 | 74 |
| Open issues | 23 | 37 |
| Language | Python | Jupyter Notebook |
| Adopt for | uqlm offers specialized Python capabilities for quantifying uncertainty to improve confidence in language model outputs and reduce hallucinations. | LangKit is an open-source toolkit for monitoring Large Language Models (LLMs), offering features such as text quality, relevance metrics, and sentiment analysis to ensure safety and security. |
| 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) | [langkit](/tools/whylabs-langkit.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 0d | 664d |
| Open issues (now) | 23 | 37 |
| Stars delta | +8 (30d) | +3 (30d) |
| Open issues delta | -2 (30d) | 0 (30d) |
| Full report | [trust report](/tools/cvs-health-uqlm/trust.md) | [trust report](/tools/whylabs-langkit/trust.md) |

## Shared compatibility

- **Python**: [uqlm](/tools/cvs-health-uqlm.md) - Python runtime; [langkit](/tools/whylabs-langkit.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: langkit

- **Adopt for:** LangKit is an open-source toolkit for monitoring Large Language Models (LLMs), offering features such as text quality, relevance metrics, and sentiment analysis to ensure safety and security.

## Choose when

### Choose uqlm if…

- uqlm is primarily Python; langkit is Jupyter Notebook.
- Tags unique to uqlm: ai-evaluation, ai-safety, confidence-estimation, hallucination-detection.
- When precise estimation of confidence scores is needed to ensure reliability in language model predictions.

### Choose langkit if…

- langkit is primarily Jupyter Notebook; uqlm is Python.
- Tags unique to langkit: large-language-models, machine-learning, nlg, nlp.
- Use LangKit when you need a comprehensive toolkit for monitoring LLMs that includes text quality and relevance metrics, as well as sentiment analysis.

## 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 langkit

- Avoid LangKit if you are looking for a tool that supports languages other than Python, as it is specifically designed for use with Jupyter Notebooks.
- Do not use LangKit if your project requires proprietary licensing, as it is released under the open-source Apache-2.0 license.

## Common questions

### What is the difference between uqlm and langkit?

uqlm: A Python package for uncertainty quantification in LLM hallucination detection. langkit: An open-source toolkit for monitoring Large Language Models (LLMs). See the comparison table for live GitHub stats and shared categories.

### When should I choose uqlm over langkit?

Choose uqlm over langkit when uqlm is primarily Python; langkit is Jupyter Notebook; Tags unique to uqlm: ai-evaluation, ai-safety, confidence-estimation, hallucination-detection; When precise estimation of confidence scores is needed to ensure reliability in language model predictions.

### When should I choose langkit over uqlm?

Choose langkit over uqlm when langkit is primarily Jupyter Notebook; uqlm is Python; Tags unique to langkit: large-language-models, machine-learning, nlg, nlp; Use LangKit when you need a comprehensive toolkit for monitoring LLMs that includes text quality and relevance metrics, as well as sentiment analysis.

### 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 langkit?

Avoid LangKit if you are looking for a tool that supports languages other than Python, as it is specifically designed for use with Jupyter Notebooks. Do not use LangKit if your project requires proprietary licensing, as it is released under the open-source Apache-2.0 license.

### Is uqlm or langkit more popular on GitHub?

uqlm has more GitHub stars (1,196 vs 997). Stars measure visibility, not whether either tool fits your constraints.

### Are uqlm and langkit open source?

Yes - both are open-source projects on GitHub (uqlm: Apache-2.0, langkit: Apache-2.0).

### Where can I find alternatives to uqlm or langkit?

GraphCanon lists graph-backed alternatives at [uqlm alternatives](/tools/cvs-health-uqlm/alternatives) and [langkit alternatives](/tools/whylabs-langkit/alternatives) ([uqlm markdown twin](/tools/cvs-health-uqlm/alternatives.md), [langkit markdown twin](/tools/whylabs-langkit/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-whylabs-langkit.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, uqlm or langkit?

uqlm: Very active. langkit: 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 langkit?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [uqlm trust report](/tools/cvs-health-uqlm/trust); [langkit trust report](/tools/whylabs-langkit/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/_
