Home/Compare/prompts.chat vs plexiglass

Comparison

prompts.chat vs plexiglass

Verdict

Pick prompts.chat when prompts.chat is primarily HTML; plexiglass is Python; pick plexiglass when plexiglass is primarily Python; prompts.chat is HTML.

Markdown twin · prompts.chat alternatives · plexiglass alternatives

GraphCanon updated today

prompts.chat logo

prompts.chat

f/prompts.chat

165kpushed Jul 11, 2026
vs
plexiglass logo

plexiglass

safellama/plexiglass

153pushed Feb 4, 2026

Trust & integrity

Signalprompts.chatplexiglass
Maintenance
Very active (0d since push)
As of today · github_public_v1
Slowing (157d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

prompts.chat
Share, discover, and collect prompts from the community
plexiglass
A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).

Stars

prompts.chat
165k
plexiglass
153

Forks

prompts.chat
21k
plexiglass
18

Open issues

prompts.chat
60
plexiglass
0

Language

prompts.chat
HTML
plexiglass
Python

Adopt for

prompts.chat
Critical decision points for evaluating `prompts.chat`
plexiglass
-

Persona

prompts.chat
-
plexiglass
-

Runtime

prompts.chat
-
plexiglass
-

License

prompts.chat
Other
plexiglass
Apache-2.0

Last pushed

prompts.chat
Jul 11, 2026
plexiglass
Feb 4, 2026

Categories

prompts.chat
LLM Frameworks, Developer Tools
plexiglass
LLM Frameworks, Developer Tools

Trust and health

Maintenance

prompts.chat
Very active (96%)
plexiglass
Slowing (36%)

Days since push

prompts.chat
0d
plexiglass
157d

Open issues (now)

prompts.chat
60
plexiglass
0

Owner type

prompts.chat
User
plexiglass
Organization

Full report

prompts.chat
Trust report
plexiglass
Trust report

Choose prompts.chat if…

  • prompts.chat is primarily HTML; plexiglass is Python.
  • License: prompts.chat is Other, plexiglass is Apache-2.0.
  • Tags unique to prompts.chat: llm, ai, artificial-intelligence, gemini.
  • Critical decision points for evaluating `prompts.chat`

When NOT to use prompts.chat

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

Choose plexiglass if…

  • plexiglass is primarily Python; prompts.chat is HTML.
  • License: plexiglass is Apache-2.0, prompts.chat is Other.
  • Tags unique to plexiglass: adversarial-attacks, deep-learning, cybersecurity, python.

When NOT to use plexiglass

  • Last GitHub push was 157 days ago (slowing maintenance, Feb 4, 2026). Validate activity before betting a new project on plexiglass.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: prompts.chat 165k · plexiglass 153 (synced Jul 11, 2026).

Common questions

What is the difference between prompts.chat and plexiglass?
prompts.chat: Share, discover, and collect prompts from the community. 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 prompts.chat over plexiglass?
Choose prompts.chat over plexiglass when prompts.chat is primarily HTML; plexiglass is Python; License: prompts.chat is Other, plexiglass is Apache-2.0; Tags unique to prompts.chat: llm, ai, artificial-intelligence, gemini; Critical decision points for evaluating prompts.chat.
When should I choose plexiglass over prompts.chat?
Choose plexiglass over prompts.chat when plexiglass is primarily Python; prompts.chat is HTML; License: plexiglass is Apache-2.0, prompts.chat is Other; Tags unique to plexiglass: adversarial-attacks, deep-learning, cybersecurity, python.
When should I avoid prompts.chat?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
When should I avoid plexiglass?
Last GitHub push was 157 days ago (slowing maintenance, Feb 4, 2026). Validate activity before betting a new project on plexiglass. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Is prompts.chat or plexiglass more popular on GitHub?
prompts.chat has more GitHub stars (165,372 vs 153). Stars measure visibility, not whether either tool fits your constraints.
Are prompts.chat and plexiglass open source?
Yes - both are open-source projects on GitHub (prompts.chat: Other, plexiglass: Apache-2.0).
Where can I find alternatives to prompts.chat or plexiglass?
GraphCanon lists graph-backed alternatives at prompts.chat alternatives and plexiglass alternatives (prompts.chat 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, prompts.chat or plexiglass?
prompts.chat: 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 prompts.chat and plexiglass?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: prompts.chat trust report; plexiglass trust report.