Comparison
OfflineLLM vs ChatMock
Verdict
Pick OfflineLLM if offlineLLM provides private on-device AI chat for Android with ARM-optimised llama.cpp support, ideal for scenarios requiring privacy and offline capabilities; pick ChatMock if chatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing.
Markdown twin · OfflineLLM alternatives · ChatMock alternatives
GraphCanon updated Sep 20, 2026
13views this month
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Trust & integrity
| Signal | OfflineLLM | ChatMock |
|---|---|---|
| Maintenance | Steady (32d since push) As of Sep 20, 2026 · github_public_v1 | Active (19d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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
- OfflineLLM
- Private on-device AI chat for Android with local LLM support via ARM-optimised llama.cpp
- ChatMock
- OpenAI & Ollama compatible API powered by Codex
Stars
- OfflineLLM
- 240
- ChatMock
- 1.5k
Forks
- OfflineLLM
- 23
- ChatMock
- 212
Open issues
- OfflineLLM
- 7
- ChatMock
- 14
Language
- OfflineLLM
- Kotlin
- ChatMock
- Python
Adopt for
- OfflineLLM
- OfflineLLM provides private on-device AI chat for Android with ARM-optimised llama.cpp support, ideal for scenarios requiring privacy and offline capabilities.
- ChatMock
- ChatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing.
Persona
- OfflineLLM
- -
- ChatMock
- -
Runtime
- OfflineLLM
- -
- ChatMock
- -
License
- OfflineLLM
- Other
- ChatMock
- MIT
Last pushed
- OfflineLLM
- Aug 18, 2026
- ChatMock
- Sep 1, 2026
Categories
- OfflineLLM
- Inference & Serving, LLM Frameworks
- ChatMock
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- OfflineLLM
- Steady (60%)
- ChatMock
- Active (82%)
Days since push
- OfflineLLM
- 32d
- ChatMock
- 19d
Open issues (now)
- OfflineLLM
- 7
- ChatMock
- 14
Stars delta
- OfflineLLM
- +36 (30d)
- ChatMock
- +17 (30d)
Full report
- OfflineLLM
- Trust report
- ChatMock
- Trust report
Choose OfflineLLM if…
- OfflineLLM is primarily Kotlin; ChatMock is Python.
- License: OfflineLLM is Other, ChatMock is MIT.
- Tags unique to OfflineLLM: android, local-llm, on-device-ai, privacy-first-ai.
- Need a privacy-first solution that operates fully offline
When NOT to use OfflineLLM
- Seeking real-time updates or cloud-based AI services
- Prioritize integration with web-based features or platforms
- Running x86 architecture, as the tool is optimised for ARM
Choose ChatMock if…
- ChatMock is primarily Python; OfflineLLM is Kotlin.
- License: ChatMock is MIT, OfflineLLM is Other.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (jegly/OfflineLLM) · observed Sep 20, 2026
- GitHub forks (jegly/OfflineLLM) · observed Sep 20, 2026
- Last push (jegly/OfflineLLM) · observed Aug 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- 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 on cards: OfflineLLM 240 · ChatMock 1.5k (synced Sep 20, 2026).
Common questions
- What is the difference between OfflineLLM and ChatMock?
- OfflineLLM: Private on-device AI chat for Android with local LLM support via ARM-optimised llama.cpp. ChatMock: OpenAI & Ollama compatible API powered by Codex. See the comparison table for live GitHub stats and shared categories.
- When should I choose OfflineLLM over ChatMock?
- Choose OfflineLLM over ChatMock when OfflineLLM is primarily Kotlin; ChatMock is Python; License: OfflineLLM is Other, ChatMock is MIT; Tags unique to OfflineLLM: android, local-llm, on-device-ai, privacy-first-ai; Need a privacy-first solution that operates fully offline.
- When should I choose ChatMock over OfflineLLM?
- Choose ChatMock over OfflineLLM when ChatMock is primarily Python; OfflineLLM is Kotlin; License: ChatMock is MIT, OfflineLLM is Other; 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 avoid OfflineLLM?
- Seeking real-time updates or cloud-based AI services Prioritize integration with web-based features or platforms Running x86 architecture, as the tool is optimised for ARM
- 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.
- Is OfflineLLM or ChatMock more popular on GitHub?
- ChatMock has more GitHub stars (1,545 vs 240). Stars measure visibility, not whether either tool fits your constraints.
- Are OfflineLLM and ChatMock open source?
- Yes - both are open-source projects on GitHub (OfflineLLM: Other, ChatMock: MIT).
- Where can I find alternatives to OfflineLLM or ChatMock?
- GraphCanon lists graph-backed alternatives at OfflineLLM alternatives and ChatMock alternatives (OfflineLLM markdown twin, ChatMock 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, OfflineLLM or ChatMock?
- OfflineLLM: Steady. ChatMock: Active. 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 OfflineLLM and ChatMock?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: OfflineLLM trust report; ChatMock trust report.