Comparison
BodhiApp vs chatllm.cpp
Verdict
Pick BodhiApp if bodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods; pick chatllm.cpp if this C++ library aims to deploy language models for real-time chatting on local systems with support for CPU and GPU.
Markdown twin · BodhiApp alternatives · chatllm.cpp alternatives
GraphCanon updated Sep 20, 2026
13views this month
vs
Trust & integrity
| Signal | BodhiApp | chatllm.cpp |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Active (11d since push) As of Sep 19, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 19, 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 11, 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
- BodhiApp
- Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs
- chatllm.cpp
- C++ real-time chat models for CPU and GPU
Stars
- BodhiApp
- 139
- chatllm.cpp
- 929
Forks
- BodhiApp
- 11
- chatllm.cpp
- 75
Open issues
- BodhiApp
- 12
- chatllm.cpp
- 11
Language
- BodhiApp
- TypeScript
- chatllm.cpp
- C++
Adopt for
- BodhiApp
- BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
- chatllm.cpp
- This C++ library aims to deploy language models for real-time chatting on local systems with support for CPU and GPU.
Persona
- BodhiApp
- -
- chatllm.cpp
- -
Runtime
- BodhiApp
- -
- chatllm.cpp
- -
License
- BodhiApp
- The license information for BodhiApp has not been provided.
- chatllm.cpp
- MIT
Last pushed
- BodhiApp
- Sep 20, 2026
- chatllm.cpp
- Sep 7, 2026
Categories
- BodhiApp
- Inference & Serving, LLM Frameworks
- chatllm.cpp
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- BodhiApp
- Very active (96%)
- chatllm.cpp
- Active (82%)
Days since push
- BodhiApp
- 0d
- chatllm.cpp
- 11d
Open issues (now)
- BodhiApp
- 12
- chatllm.cpp
- 11
Stars delta
- BodhiApp
- +3 (30d)
- chatllm.cpp
- +17 (30d)
Open issues delta
- BodhiApp
- +2 (30d)
- chatllm.cpp
- 0 (30d)
Owner type
- BodhiApp
- Organization
- chatllm.cpp
- User
Full report
- BodhiApp
- Trust report
- chatllm.cpp
- Trust report
Choose BodhiApp if…
- BodhiApp is primarily TypeScript; chatllm.cpp is C++.
- Pricing: Pricing details are not mentioned in the repository data..
- Requirements: Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen..
- Tags unique to BodhiApp: gemma, generative-ai, llama, local-llm.
- You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs.
When NOT to use BodhiApp
- Your project strictly requires non-local deployment options, as BodhiApp focuses on local hosting of models.
- If your environment is limited to unsupported GPU hardware or lacks adequate drivers for CUDA, ROCm, or Vulkan acceleration methods.
- You need support beyond Mac platforms as BodhiApp does not yet provide installation instructions for other operating systems.
Choose chatllm.cpp if…
- chatllm.cpp is primarily C++; BodhiApp is TypeScript.
- Tags unique to chatllm.cpp: cpu-support, gpu-support, llm-inference, real-time-chatting.
- When you need a C++ framework that can integrate tightly into existing C++ applications requiring fast chat responses.
When NOT to use chatllm.cpp
- Avoid if your preferred development environment is centered around high-level languages such as Python, where alternatives like Transformers are robust and well-supported.
- Not suitable for projects that require a wide array of pre-trained models not provided by chatllm.cpp itself, since it does not include model training functionalities.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (BodhiSearch/BodhiApp) · observed Sep 20, 2026
- GitHub forks (BodhiSearch/BodhiApp) · observed Sep 20, 2026
- Last push (BodhiSearch/BodhiApp) · observed Sep 20, 2026
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (foldl/chatllm.cpp) · observed Sep 20, 2026
- GitHub forks (foldl/chatllm.cpp) · observed Sep 20, 2026
- Last push (foldl/chatllm.cpp) · observed Sep 7, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: BodhiApp 139 · chatllm.cpp 929 (synced Sep 20, 2026).
Common questions
- What is the difference between BodhiApp and chatllm.cpp?
- BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. chatllm.cpp: C++ real-time chat models for CPU and GPU. See the comparison table for live GitHub stats and shared categories.
- When should I choose BodhiApp over chatllm.cpp?
- Choose BodhiApp over chatllm.cpp when BodhiApp is primarily TypeScript; chatllm.cpp is C++; Pricing: Pricing details are not mentioned in the repository data.; Requirements: Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen.; Tags unique to BodhiApp: gemma, generative-ai, llama, local-llm; You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs.
- When should I choose chatllm.cpp over BodhiApp?
- Choose chatllm.cpp over BodhiApp when chatllm.cpp is primarily C++; BodhiApp is TypeScript; Tags unique to chatllm.cpp: cpu-support, gpu-support, llm-inference, real-time-chatting; When you need a C++ framework that can integrate tightly into existing C++ applications requiring fast chat responses.
- When should I avoid BodhiApp?
- Your project strictly requires non-local deployment options, as BodhiApp focuses on local hosting of models. If your environment is limited to unsupported GPU hardware or lacks adequate drivers for CUDA, ROCm, or Vulkan acceleration methods. You need support beyond Mac platforms as BodhiApp does not yet provide installation instructions for other operating systems.
- When should I avoid chatllm.cpp?
- Avoid if your preferred development environment is centered around high-level languages such as Python, where alternatives like Transformers are robust and well-supported. Not suitable for projects that require a wide array of pre-trained models not provided by chatllm.cpp itself, since it does not include model training functionalities.
- Is BodhiApp or chatllm.cpp more popular on GitHub?
- chatllm.cpp has more GitHub stars (929 vs 139). Stars measure visibility, not whether either tool fits your constraints.
- Are BodhiApp and chatllm.cpp open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to BodhiApp or chatllm.cpp?
- GraphCanon lists graph-backed alternatives at BodhiApp alternatives and chatllm.cpp alternatives (BodhiApp markdown twin, chatllm.cpp 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, BodhiApp or chatllm.cpp?
- BodhiApp: Very active. chatllm.cpp: 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 BodhiApp and chatllm.cpp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BodhiApp trust report; chatllm.cpp trust report.