Comparison
BodhiApp vs serve
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 serve if serve offers dedicated support for deploying and scaling PyTorch models with features tailored towards large language model deployment, such as integration with Hugging Face.
Markdown twin · BodhiApp alternatives · serve alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | BodhiApp | serve |
|---|---|---|
| Maintenance | Active (18d since push) As of 1w · github_public_v1 | Archived (360d 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 lockfile (source not queried) 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
- serve
- Serve, optimize and scale PyTorch models in production
Stars
- BodhiApp
- 136
- serve
- 4.3k
Forks
- BodhiApp
- 10
- serve
- 882
Open issues
- BodhiApp
- 10
- serve
- 443
Language
- BodhiApp
- TypeScript
- serve
- Java
Adopt for
- BodhiApp
- BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
- serve
- Serve offers dedicated support for deploying and scaling PyTorch models with features tailored towards large language model deployment, such as integration with Hugging Face.
Persona
- BodhiApp
- -
- serve
- -
Runtime
- BodhiApp
- -
- serve
- -
License
- BodhiApp
- The license information for BodhiApp has not been provided.
- serve
- Apache-2.0
Last pushed
- BodhiApp
- Jul 26, 2026
- serve
- Aug 6, 2025
Categories
- BodhiApp
- Inference & Serving, LLM Frameworks
- serve
- Inference & Serving
Trust and health
Maintenance
- BodhiApp
- Active (82%)
- serve
- Archived (8%)
Days since push
- BodhiApp
- 18d
- serve
- 360d
Archived on GitHub
- BodhiApp
- No
- serve
- Yes
Open issues (now)
- BodhiApp
- 10
- serve
- 443
Full report
- BodhiApp
- Trust report
- serve
- Trust report
Choose BodhiApp if…
- BodhiApp is primarily TypeScript; serve is Java.
- 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, llm.
- Also covers LLM Frameworks.
- 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 serve if…
- serve is primarily Java; BodhiApp is TypeScript.
- Tags unique to serve: cpu, deep-learning, docker, gpu.
- If you are working primarily with PyTorch-based machine-learning projects that require production-grade deployments.
When NOT to use serve
- Avoid if your primary model development is not in PyTorch or requires deployment using a language other than Java.
- Not suitable if you do not require the fine-grained control and optimization provided by tools such as VLLM or TensorRT-LLM.
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 (pytorch/serve) · observed Aug 2, 2026
- GitHub forks (pytorch/serve) · observed Aug 2, 2026
- Last push (pytorch/serve) · observed Aug 6, 2025
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: BodhiApp 136 · serve 4.3k (synced Aug 13, 2026).
Common questions
- What is the difference between BodhiApp and serve?
- BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. serve: Serve, optimize and scale PyTorch models in production. See the comparison table for live GitHub stats and shared categories.
- When should I choose BodhiApp over serve?
- Choose BodhiApp over serve when BodhiApp is primarily TypeScript; serve is Java; 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, llm; Also covers LLM Frameworks; You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs.
- When should I choose serve over BodhiApp?
- Choose serve over BodhiApp when serve is primarily Java; BodhiApp is TypeScript; Tags unique to serve: cpu, deep-learning, docker, gpu; If you are working primarily with PyTorch-based machine-learning projects that require production-grade deployments.
- 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 serve?
- Avoid if your primary model development is not in PyTorch or requires deployment using a language other than Java. Not suitable if you do not require the fine-grained control and optimization provided by tools such as VLLM or TensorRT-LLM.
- Is BodhiApp or serve more popular on GitHub?
- serve has more GitHub stars (4,350 vs 136). Stars measure visibility, not whether either tool fits your constraints.
- Are BodhiApp and serve open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to BodhiApp or serve?
- GraphCanon lists graph-backed alternatives at BodhiApp alternatives and serve alternatives (BodhiApp markdown twin, serve 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 serve?
- BodhiApp: Active. serve: Archived. 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 serve?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BodhiApp trust report; serve trust report.