--- title: "prompts.chat vs plexiglass" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/f-prompts-chat-vs-safellama-plexiglass" tools: ["f-prompts-chat", "safellama-plexiglass"] --- # prompts.chat vs plexiglass *GraphCanon updated Jul 11, 2026* ## Verdict Pick prompts.chat when prompts.chat is primarily HTML; plexiglass is Python; pick plexiglass when plexiglass is primarily Python; prompts.chat is HTML. [prompts.chat](https://prompts.chat) reports 165k GitHub stars, 21k forks, and 60 open issues, last pushed Jul 11, 2026. [plexiglass](https://github.com/safellama/plexiglass) has 153 stars, 18 forks, and 0 open issues, last pushed Feb 4, 2026. Figures are from public GitHub metadata via [prompts.chat's repository](https://github.com/f/prompts.chat) and [plexiglass's repository](https://github.com/safellama/plexiglass). | | [prompts.chat](/tools/f-prompts-chat.md) | [plexiglass](/tools/safellama-plexiglass.md) | | --- | --- | --- | | Tagline | Share, discover, and collect prompts from the community | A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs). | | Stars | 165,372 | 153 | | Forks | 21,400 | 18 | | Open issues | 60 | 0 | | Language | HTML | Python | | Adopt for | Critical decision points for evaluating `prompts.chat` | - | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prompts.chat](/tools/f-prompts-chat.md) | [plexiglass](/tools/safellama-plexiglass.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 157d | | Open issues (now) | 60 | 0 | | Owner type | User | Organization | | Full report | [trust report](/tools/f-prompts-chat/trust.md) | [trust report](/tools/safellama-plexiglass/trust.md) | ## Decision facts: prompts.chat - **Adopt for:** Critical decision points for evaluating `prompts.chat` ## Choose when ### 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: ai, artificial-intelligence, awesome-list, chatgpt. - Critical decision points for evaluating `prompts.chat` ### 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, adversarial-machine-learning, cybersecurity, deep-learning. ## When NOT to use prompts.chat - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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: ai, artificial-intelligence, awesome-list, chatgpt; 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, adversarial-machine-learning, cybersecurity, deep-learning. ### When should I avoid prompts.chat? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### 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. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### 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](/tools/f-prompts-chat/alternatives) and [plexiglass alternatives](/tools/safellama-plexiglass/alternatives) ([prompts.chat markdown twin](/tools/f-prompts-chat/alternatives.md), [plexiglass markdown twin](/tools/safellama-plexiglass/alternatives.md)), 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](/compare/f-prompts-chat-vs-safellama-plexiglass.md) 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](/tools/f-prompts-chat/trust); [plexiglass trust report](/tools/safellama-plexiglass/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=f-prompts-chat`](/api/graphcanon/graph?tool=f-prompts-chat) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_