Comparison
ChatMock vs modelz-llm
Verdict
Pick ChatMock if chatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing; pick modelz-llm if modelz-llm offers an OpenAI compatible API for various large language models, including LLaMA, Vicuna, and ChatGLM, with support for embeddings and other functionalities.
Markdown twin · ChatMock alternatives · modelz-llm alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | ChatMock | modelz-llm |
|---|---|---|
| Maintenance | Active (19d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (1073d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- ChatMock
- OpenAI & Ollama compatible API powered by Codex
- modelz-llm
- OpenAI compatible API for LLMs and embeddings
Stars
- ChatMock
- 1.5k
- modelz-llm
- 274
Forks
- ChatMock
- 212
- modelz-llm
- 27
Open issues
- ChatMock
- 14
- modelz-llm
- 12
Language
- ChatMock
- Python
- modelz-llm
- Python
Adopt for
- ChatMock
- ChatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing.
- modelz-llm
- Modelz-llm offers an OpenAI compatible API for various large language models, including LLaMA, Vicuna, and ChatGLM, with support for embeddings and other functionalities.
Persona
- ChatMock
- -
- modelz-llm
- -
Runtime
- ChatMock
- -
- modelz-llm
- -
License
- ChatMock
- MIT
- modelz-llm
- Apache-2.0
Last pushed
- ChatMock
- Sep 1, 2026
- modelz-llm
- Oct 11, 2023
Categories
- ChatMock
- Inference & Serving, LLM Frameworks
- modelz-llm
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- ChatMock
- Active (82%)
- modelz-llm
- Dormant (18%)
Days since push
- ChatMock
- 19d
- modelz-llm
- 1073d
Open issues (now)
- ChatMock
- 14
- modelz-llm
- 12
Stars delta
- ChatMock
- +17 (30d)
- modelz-llm
- -2 (30d)
Open issues delta
- ChatMock
- +7 (30d)
- modelz-llm
- 0 (30d)
Owner type
- ChatMock
- User
- modelz-llm
- Organization
OSV dependency advisories
- ChatMock
- No lockfile (source not queried)
- modelz-llm
- No published findings from this source as of 2026-09-18
Full report
- ChatMock
- Trust report
- modelz-llm
- Trust report
Choose ChatMock if…
- License: ChatMock is MIT, modelz-llm is Apache-2.0.
- 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 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.
Choose modelz-llm if…
- License: modelz-llm is Apache-2.0, ChatMock is MIT.
- Pricing: The tool is free to use under the Apache-2.0 license, but additional services or support might incur costs..
- Requirements: Min 4 GB RAM; Installation can be done via pip or from source for GPU support..
- Tags unique to modelz-llm: llm, nlp, openai-api, transformer.
- When you need an OpenAI compatible API for large language models like LLaMA, Vicuna, and ChatGLM.
When NOT to use modelz-llm
- If your project specifically requires a different API format that is not compatible with OpenAI's API.
- When the specific models supported by Modelz-llm do not meet your project's needs.
- If you are working in a non-Python environment and cannot use Python packages.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (RayBytes/ChatMock) · observed Sep 20, 2026
- GitHub forks (RayBytes/ChatMock) · observed Sep 20, 2026
- Last push (RayBytes/ChatMock) · observed Sep 1, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (tensorchord/modelz-llm) · observed Sep 20, 2026
- GitHub forks (tensorchord/modelz-llm) · observed Sep 20, 2026
- Last push (tensorchord/modelz-llm) · observed Oct 11, 2023
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: ChatMock 1.5k · modelz-llm 274 (synced Sep 20, 2026).
Common questions
- What is the difference between ChatMock and modelz-llm?
- ChatMock: OpenAI & Ollama compatible API powered by Codex. modelz-llm: OpenAI compatible API for LLMs and embeddings. See the comparison table for live GitHub stats and shared categories.
- When should I choose ChatMock over modelz-llm?
- Choose ChatMock over modelz-llm when License: ChatMock is MIT, modelz-llm is Apache-2.0; 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 modelz-llm over ChatMock?
- Choose modelz-llm over ChatMock when License: modelz-llm is Apache-2.0, ChatMock is MIT; Pricing: The tool is free to use under the Apache-2.0 license, but additional services or support might incur costs.; Requirements: Min 4 GB RAM; Installation can be done via pip or from source for GPU support.; Tags unique to modelz-llm: llm, nlp, openai-api, transformer; When you need an OpenAI compatible API for large language models like LLaMA, Vicuna, and ChatGLM.
- 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 modelz-llm?
- If your project specifically requires a different API format that is not compatible with OpenAI's API. When the specific models supported by Modelz-llm do not meet your project's needs. If you are working in a non-Python environment and cannot use Python packages.
- Is ChatMock or modelz-llm more popular on GitHub?
- ChatMock has more GitHub stars (1,545 vs 274). Stars measure visibility, not whether either tool fits your constraints.
- Are ChatMock and modelz-llm open source?
- Yes - both are open-source projects on GitHub (ChatMock: MIT, modelz-llm: Apache-2.0).
- Where can I find alternatives to ChatMock or modelz-llm?
- GraphCanon lists graph-backed alternatives at ChatMock alternatives and modelz-llm alternatives (ChatMock markdown twin, modelz-llm 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, ChatMock or modelz-llm?
- ChatMock: Active. modelz-llm: 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 modelz-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatMock trust report; modelz-llm trust report.