GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
uqlm offers specialized Python capabilities for quantifying uncertainty to improve confidence in language model outputs and reduce hallucinations.
Good fit when
- When precise estimation of confidence scores is needed to ensure reliability in language model predictions.
- For developers looking to enhance the safety and trustworthiness of their text generation systems by actively mitigating hallucination.
Avoid when
- 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.
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 8, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 8, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install uqlmSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides tools and methods to estimate confidence scores and mitigate hallucinations within language models.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Sep 8, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Installation The latest version can be installed from PyPI:
For agents
This page has a .md twin and JSON over the API.