Comparison
uqlm vs plexiglass
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.
Markdown twin · uqlm alternatives · plexiglass alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | uqlm | plexiglass |
|---|---|---|
| Maintenance | Very active (4d since push) As of 2w · github_public_v1 | Slowing (178d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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).
Stars
- uqlm
- 1.2k
- plexiglass
- 153
Forks
- uqlm
- 129
- plexiglass
- 18
Open issues
- uqlm
- 25
- plexiglass
- 0
Language
- uqlm
- Python
- plexiglass
- Python
Adopt for
- uqlm
- uqlm offers specialized Python capabilities for quantifying uncertainty to improve confidence in language model outputs and reduce hallucinations.
- plexiglass
- Plexiglass is a toolkit for detecting and mitigating vulnerabilities in Large Language Models through adversarial attacks and deep-learning techniques.
Persona
- uqlm
- -
- plexiglass
- -
Runtime
- uqlm
- -
- plexiglass
- -
License
- uqlm
- Apache-2.0
- plexiglass
- Apache-2.0
Last pushed
- uqlm
- Aug 3, 2026
- plexiglass
- Feb 4, 2026
Categories
- uqlm
- Evaluation & Observability
- plexiglass
- Evaluation & Observability
Trust and health
Maintenance
- uqlm
- Very active (96%)
- plexiglass
- Slowing (36%)
Days since push
- uqlm
- 4d
- plexiglass
- 178d
Open issues (now)
- uqlm
- 25
- plexiglass
- 0
Full report
- uqlm
- Trust report
- plexiglass
- Trust report
Shared compatibility
- Python · uqlm: Python runtime · plexiglass: Python runtime
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (cvs-health/uqlm) · observed Aug 8, 2026
- GitHub forks (cvs-health/uqlm) · observed Aug 8, 2026
- Last push (cvs-health/uqlm) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (safellama/plexiglass) · observed Aug 2, 2026
- GitHub forks (safellama/plexiglass) · observed Aug 2, 2026
- Last push (safellama/plexiglass) · observed Feb 4, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: uqlm 1.2k · plexiglass 153 (synced Aug 8, 2026).
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 and plexiglass alternatives (uqlm markdown twin, plexiglass markdown twin), 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 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; plexiglass trust report.