Comparison
BodhiApp vs modelz-llm
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 modelz-llm if modelz-llm provides an OpenAI-compatible API for working with diverse language models and embeddings like LLaMA, Vicuna, ChatGLM without requiring direct integration with each model's custom APIs.
Markdown twin · BodhiApp alternatives · modelz-llm alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | BodhiApp | modelz-llm |
|---|---|---|
| Maintenance | Active (18d since push) As of 1w · github_public_v1 | Dormant (1025d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 As of 1mo · 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
- modelz-llm
- OpenAI compatible API for LLMs and embeddings
Stars
- BodhiApp
- 136
- modelz-llm
- 276
Forks
- BodhiApp
- 10
- modelz-llm
- 27
Open issues
- BodhiApp
- 10
- modelz-llm
- 12
Language
- BodhiApp
- TypeScript
- modelz-llm
- Python
Adopt for
- BodhiApp
- BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
- modelz-llm
- Modelz-llm provides an OpenAI-compatible API for working with diverse language models and embeddings like LLaMA, Vicuna, ChatGLM without requiring direct integration with each model's custom APIs.
Persona
- BodhiApp
- -
- modelz-llm
- -
Runtime
- BodhiApp
- -
- modelz-llm
- -
License
- BodhiApp
- The license information for BodhiApp has not been provided.
- modelz-llm
- Apache-2.0
Last pushed
- BodhiApp
- Jul 26, 2026
- modelz-llm
- Oct 11, 2023
Categories
- BodhiApp
- Inference & Serving, LLM Frameworks
- modelz-llm
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- BodhiApp
- Active (82%)
- modelz-llm
- Dormant (18%)
Days since push
- BodhiApp
- 18d
- modelz-llm
- 1025d
Open issues (now)
- BodhiApp
- 10
- modelz-llm
- 12
OSV dependency advisories
- BodhiApp
- No lockfile (source not queried)
- modelz-llm
- No published findings from this source as of 2026-07-11
Full report
- BodhiApp
- Trust report
- modelz-llm
- Trust report
Choose BodhiApp if…
- BodhiApp is primarily TypeScript; modelz-llm is Python.
- 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 modelz-llm if…
- modelz-llm is primarily Python; BodhiApp is TypeScript.
- Tags unique to modelz-llm: nlp, openai-api, transformer.
- When developers aim to implement multiple large language models within applications using a single consistent interface compatible with the OpenAI API schema
When NOT to use modelz-llm
- Avoid if your project specifically requires proprietary features only available in individual model APIs that are not covered by the OpenAI API compatibility offered by Modelz-llm
- If real-time updates to bleeding-edge models matter more than ease of integration, since Modelz-llm may lag slightly behind in updating its supported model versions
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 Aug 13, 2026
- GitHub forks (BodhiSearch/BodhiApp) · observed Aug 13, 2026
- Last push (BodhiSearch/BodhiApp) · observed Jul 26, 2026
- License file (unknown) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (tensorchord/modelz-llm) · observed Aug 2, 2026
- GitHub forks (tensorchord/modelz-llm) · observed Aug 2, 2026
- Last push (tensorchord/modelz-llm) · observed Oct 11, 2023
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: BodhiApp 136 · modelz-llm 276 (synced Aug 13, 2026).
Common questions
- What is the difference between BodhiApp and modelz-llm?
- BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. modelz-llm: OpenAI compatible API for LLMs and embeddings. See the comparison table for live GitHub stats and shared categories.
- When should I choose BodhiApp over modelz-llm?
- Choose BodhiApp over modelz-llm when BodhiApp is primarily TypeScript; modelz-llm is Python; 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 modelz-llm over BodhiApp?
- Choose modelz-llm over BodhiApp when modelz-llm is primarily Python; BodhiApp is TypeScript; Tags unique to modelz-llm: nlp, openai-api, transformer; When developers aim to implement multiple large language models within applications using a single consistent interface compatible with the OpenAI API schema.
- 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 modelz-llm?
- Avoid if your project specifically requires proprietary features only available in individual model APIs that are not covered by the OpenAI API compatibility offered by Modelz-llm If real-time updates to bleeding-edge models matter more than ease of integration, since Modelz-llm may lag slightly behind in updating its supported model versions
- Is BodhiApp or modelz-llm more popular on GitHub?
- modelz-llm has more GitHub stars (276 vs 136). Stars measure visibility, not whether either tool fits your constraints.
- Are BodhiApp and modelz-llm open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to BodhiApp or modelz-llm?
- GraphCanon lists graph-backed alternatives at BodhiApp alternatives and modelz-llm alternatives (BodhiApp 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, BodhiApp or modelz-llm?
- BodhiApp: 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 BodhiApp and modelz-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BodhiApp trust report; modelz-llm trust report.