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Open Source

Plexiglass

A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).

Our verdict

Not reviewed yet

We have not reviewed Plexiglass yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Plexiglass

Plexiglass is an open source Python toolkit for detecting and protecting against vulnerabilities in Large Language Models. It provides tools to identify security issues such as prompt injection and monitor LLM outputs for harmful content. The toolkit is designed for integration into LLM application pipelines to add a layer of defense.

Best for

Developers seeking a lightweight, open source tool to add basic security checks to LLM applications

Use cases

  • Auditing LLM responses for prompt injection attacks
  • Implementing guardrails to filter unsafe outputs
  • Testing LLM robustness against adversarial inputs

Notes

154 stars on GitHub. Last updated 2026-02-04. Licensed Apache-2.0.

Pros

  • Open source and free to use with no vendor lock-in
  • Python-based, easy to integrate into existing LLM workflows
  • Focused specifically on LLM security vulnerabilities

Cons

  • Small community with only 154 GitHub stars, limited support
  • May not cover all emerging attack vectors or complex scenarios
  • Documentation and examples may be sparse for production use

Key facts

What we have checked

Days since the last commit
2
Checked GitHub
GitHub forks
18
Checked GitHub
GitHub stars
156
Checked GitHub
Days to a first reply on issues
1113
Checked GitHub
Open issues
0
Checked GitHub
Releases in the last 90 days
0
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How Plexiglass is growing

GitHub stars

154 to 156

stars. 12 July 2026 to 6 Nov 2026, 4 readings.

Source: GitHub. Checked .

Health and security

Is Plexiglass looked after, and what do its setup files show

Health score

56 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity30 of 30Last push 2 days ago
Releases0 of 150 releases in 90 days
Issue replies0 of 20First reply in 1113 days (median)
Maintainer15 of 15Owned by an organisation
Official sourceNot countedMCP servers only

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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