--- title: "ChatMock vs local-llm-function-calling" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/raybytes-chatmock-vs-rizerphe-local-llm-function-calling" tools: ["raybytes-chatmock", "rizerphe-local-llm-function-calling"] --- # ChatMock vs local-llm-function-calling *GraphCanon updated Sep 20, 2026* ## Verdict Pick ChatMock if chatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing; pick local-llm-function-calling if local-llm-function-calling is designed for generating appropriate arguments and selecting functions to call within the context of local language model deployments. [ChatMock](https://github.com/RayBytes/ChatMock) reports 1.5k GitHub stars, 212 forks, and 14 open issues, last pushed Sep 1, 2026. [local-llm-function-calling](https://local-llm-function-calling.readthedocs.io/) has 435 stars, 41 forks, and 6 open issues, last pushed Mar 12, 2024. Figures are from public GitHub metadata via [ChatMock's repository](https://github.com/RayBytes/ChatMock) and [local-llm-function-calling's repository](https://github.com/rizerphe/local-llm-function-calling). | | [ChatMock](/tools/raybytes-chatmock.md) | [local-llm-function-calling](/tools/rizerphe-local-llm-function-calling.md) | | --- | --- | --- | | Tagline | OpenAI & Ollama compatible API powered by Codex | Generates function arguments and selects functions to call with local LLMs | | Stars | 1,545 | 435 | | Forks | 212 | 41 | | Open issues | 14 | 6 | | Language | Python | Python | | Adopt for | ChatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing. | local-llm-function-calling is designed for generating appropriate arguments and selecting functions to call within the context of local language model deployments. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ChatMock](/tools/raybytes-chatmock.md) | [local-llm-function-calling](/tools/rizerphe-local-llm-function-calling.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 19d | 921d | | Open issues (now) | 14 | 6 | | Stars delta | +17 (30d) | 0 (30d) | | Open issues delta | +7 (30d) | 0 (30d) | | Full report | [trust report](/tools/raybytes-chatmock/trust.md) | [trust report](/tools/rizerphe-local-llm-function-calling/trust.md) | ## Decision facts: ChatMock - **Pricing:** freemium - Open-source under MIT license, meaning free to use for all development phases; premium features or commercial support may apply at a later stage if introduced by the maintainers. - **Requirements:** Min 4 GB RAM; Requires Docker - **Adopt for:** ChatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing. ## Decision facts: local-llm-function-calling - **Adopt for:** local-llm-function-calling is designed for generating appropriate arguments and selecting functions to call within the context of local language model deployments. ## Choose when ### Choose ChatMock if… - Pricing: Open-source under MIT license, meaning free to use for all development phases; premium features or commercial support may apply at a later stage if introduced by the maintainers.. - Requirements: Min 4 GB RAM; Requires Docker. - Tags unique to ChatMock: ai, chatgpt, codex, gpt-5. - ChatMock ships Docker support for self-hosted deployment. - Developers leveraging OpenAI or Ollama APIs looking to integrate a chat component that is powered by Codex can opt for ChatMock. ### Choose local-llm-function-calling if… - Tags unique to local-llm-function-calling: chatgpt-functions, huggingface-transformers, json-schema, llm-inference. - When your project requires local handling of function calls with detailed argument generation from LLMs - Leaner open-issue backlog (6). ## When NOT to use ChatMock - If your project specifically requires an alternative chat framework not compatible with or leveraging Codex or OpenAI/Ollama APIs, avoid using ChatMock. - Avoid this tool if you require a more diversified set of AI models not integrated within OpenAI or Ollama ecosystems, as this could limit flexibility over other tools. ## When NOT to use local-llm-function-calling - Avoid if you need cloud-based services exclusively, as this tool focuses on local deployments - Do not use when your application specifically requires real-time integration with external web APIs that are not locally hosted ## Common questions ### What is the difference between ChatMock and local-llm-function-calling? ChatMock: OpenAI & Ollama compatible API powered by Codex. local-llm-function-calling: Generates function arguments and selects functions to call with local LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose ChatMock over local-llm-function-calling? Choose ChatMock over local-llm-function-calling when Pricing: Open-source under MIT license, meaning free to use for all development phases; premium features or commercial support may apply at a later stage if introduced by the maintainers.; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to ChatMock: ai, chatgpt, codex, gpt-5; ChatMock ships Docker support for self-hosted deployment; Developers leveraging OpenAI or Ollama APIs looking to integrate a chat component that is powered by Codex can opt for ChatMock. ### When should I choose local-llm-function-calling over ChatMock? Choose local-llm-function-calling over ChatMock when Tags unique to local-llm-function-calling: chatgpt-functions, huggingface-transformers, json-schema, llm-inference; When your project requires local handling of function calls with detailed argument generation from LLMs; Leaner open-issue backlog (6). ### When should I avoid ChatMock? If your project specifically requires an alternative chat framework not compatible with or leveraging Codex or OpenAI/Ollama APIs, avoid using ChatMock. Avoid this tool if you require a more diversified set of AI models not integrated within OpenAI or Ollama ecosystems, as this could limit flexibility over other tools. ### When should I avoid local-llm-function-calling? Avoid if you need cloud-based services exclusively, as this tool focuses on local deployments Do not use when your application specifically requires real-time integration with external web APIs that are not locally hosted ### Is ChatMock or local-llm-function-calling more popular on GitHub? ChatMock has more GitHub stars (1,545 vs 435). Stars measure visibility, not whether either tool fits your constraints. ### Are ChatMock and local-llm-function-calling open source? Yes - both are open-source projects on GitHub (ChatMock: MIT, local-llm-function-calling: MIT). ### Where can I find alternatives to ChatMock or local-llm-function-calling? GraphCanon lists graph-backed alternatives at [ChatMock alternatives](/tools/raybytes-chatmock/alternatives) and [local-llm-function-calling alternatives](/tools/rizerphe-local-llm-function-calling/alternatives) ([ChatMock markdown twin](/tools/raybytes-chatmock/alternatives.md), [local-llm-function-calling markdown twin](/tools/rizerphe-local-llm-function-calling/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/raybytes-chatmock-vs-rizerphe-local-llm-function-calling.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ChatMock or local-llm-function-calling? ChatMock: Active. local-llm-function-calling: 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 ChatMock and local-llm-function-calling? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ChatMock trust report](/tools/raybytes-chatmock/trust); [local-llm-function-calling trust report](/tools/rizerphe-local-llm-function-calling/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=raybytes-chatmock`](/api/graphcanon/graph?tool=raybytes-chatmock) - 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/_