plexiglass
A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).
GraphCanon updated 2w · GitHub synced 2w
Decision brief
Plexiglass is a toolkit for detecting and mitigating vulnerabilities in Large Language Models through adversarial attacks and deep-learning techniques.
Good fit when
- When a team needs to evaluate the robustness of their LLM against specific adversarial attack vectors within Python-based projects.
- For organizations that require Apache-2.0 licensed tools for compliance purposes, allowing unrestricted use and redistribution of software.
Avoid when
- 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.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (178d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install plexiglassSimilar 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
Plexiglass provides tools to detect and mitigate vulnerabilities in LLMs through adversarial attacks and deep-learning techniques.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 2, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 2, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 2, 2026)
`pip install --upgrade plexiglass`Source link
Tags
README
Installation
The first experimental release is version 0.0.1.
To download the package from PyPi:
pip install --upgrade plexiglass
For agents
This page has a .md twin and JSON over the API.