--- title: "prompts.chat vs openlm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/f-prompts-chat-vs-r2d4-openlm" tools: ["f-prompts-chat", "r2d4-openlm"] --- # prompts.chat vs openlm *GraphCanon updated Jul 12, 2026* ## Verdict Pick prompts.chat if critical decision points for evaluating `prompts.chat`; pick openlm if openLM is a flexible Python library designed to interface with various Language Model frameworks similarly to the OpenAI API. [prompts.chat](https://prompts.chat) reports 165k GitHub stars, 21k forks, and 60 open issues, last pushed Jul 11, 2026. [openlm](https://github.com/r2d4/openlm) has 369 stars, 22 forks, and 1 open issues, last pushed May 19, 2023. Figures are from public GitHub metadata via [prompts.chat's repository](https://github.com/f/prompts.chat) and [openlm's repository](https://github.com/r2d4/openlm). | | [prompts.chat](/tools/f-prompts-chat.md) | [openlm](/tools/r2d4-openlm.md) | | --- | --- | --- | | Tagline | Share, discover, and collect prompts from the community | OpenAI-compatible Python client for calling any LLM | | Stars | 165,372 | 369 | | Forks | 21,400 | 22 | | Open issues | 60 | 1 | | Language | HTML | Python | | Adopt for | Critical decision points for evaluating `prompts.chat` | OpenLM is a flexible Python library designed to interface with various Language Model frameworks similarly to the OpenAI API. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT License | | Categories | Developer Tools, LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prompts.chat](/tools/f-prompts-chat.md) | [openlm](/tools/r2d4-openlm.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 1148d | | Open issues (now) | 60 | 1 | | Security scan | No lockfile | 31 low (31 low) | | Full report | [trust report](/tools/f-prompts-chat/trust.md) | [trust report](/tools/r2d4-openlm/trust.md) | ## Decision facts: prompts.chat - **Adopt for:** Critical decision points for evaluating `prompts.chat` ## Decision facts: openlm - **Requirements:** Installation is as simple as using pip to install the openlm package. - **Adopt for:** OpenLM is a flexible Python library designed to interface with various Language Model frameworks similarly to the OpenAI API. - **License detail:** MIT License ## Choose when ### Choose prompts.chat if… - prompts.chat is primarily HTML; openlm is Python. - License: prompts.chat is Other, openlm is MIT. - Tags unique to prompts.chat: ai, artificial-intelligence, awesome-list, chatgpt. - Also covers Developer Tools. - Critical decision points for evaluating `prompts.chat` ### Choose openlm if… - openlm is primarily Python; prompts.chat is HTML. - License: openlm is MIT, prompts.chat is Other. - Requirements: Installation is as simple as using pip to install the openlm package.. - Tags unique to openlm: cohere, huggingface, openai. - Use when you want to seamlessly integrate different LLM frameworks, like Hugging Face or Cohere, under a uniform interface similar to OpenAI’s. ## 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 openlm - Avoid when you require maximum performance optimization specific to one LLM framework, as using an intermediary library like OpenLM might introduce additional overhead. - Not suitable if you are strictly working with models that do not have Python support or don't fit within the frameworks supported by OpenLM. ## Common questions ### What is the difference between prompts.chat and openlm? prompts.chat: Share, discover, and collect prompts from the community. openlm: OpenAI-compatible Python client for calling any LLM. See the comparison table for live GitHub stats and shared categories. ### When should I choose prompts.chat over openlm? Choose prompts.chat over openlm when prompts.chat is primarily HTML; openlm is Python; License: prompts.chat is Other, openlm is MIT; Tags unique to prompts.chat: ai, artificial-intelligence, awesome-list, chatgpt; Also covers Developer Tools; Critical decision points for evaluating `prompts.chat`. ### When should I choose openlm over prompts.chat? Choose openlm over prompts.chat when openlm is primarily Python; prompts.chat is HTML; License: openlm is MIT, prompts.chat is Other; Requirements: Installation is as simple as using pip to install the openlm package.; Tags unique to openlm: cohere, huggingface, openai; Use when you want to seamlessly integrate different LLM frameworks, like Hugging Face or Cohere, under a uniform interface similar to OpenAI’s. ### 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 openlm? Avoid when you require maximum performance optimization specific to one LLM framework, as using an intermediary library like OpenLM might introduce additional overhead. Not suitable if you are strictly working with models that do not have Python support or don't fit within the frameworks supported by OpenLM. ### Is prompts.chat or openlm more popular on GitHub? prompts.chat has more GitHub stars (165,372 vs 369). Stars measure visibility, not whether either tool fits your constraints. ### Are prompts.chat and openlm open source? Yes - both are open-source projects on GitHub (prompts.chat: Other, openlm: MIT). ### Where can I find alternatives to prompts.chat or openlm? GraphCanon lists graph-backed alternatives at [prompts.chat alternatives](/tools/f-prompts-chat/alternatives) and [openlm alternatives](/tools/r2d4-openlm/alternatives) ([prompts.chat markdown twin](/tools/f-prompts-chat/alternatives.md), [openlm markdown twin](/tools/r2d4-openlm/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-r2d4-openlm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, prompts.chat or openlm? prompts.chat: Very active. openlm: Dormant. 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 openlm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prompts.chat trust report](/tools/f-prompts-chat/trust); [openlm trust report](/tools/r2d4-openlm/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/_