Comparison
ai-serving vs BodhiApp
Verdict
Pick ai-serving if ai-Serving is an inference server supporting PMML and ONNX formats via HTTP or gRPC endpoints, easily deployable with Docker; pick BodhiApp if bodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
Markdown twin · ai-serving alternatives · BodhiApp alternatives
GraphCanon updated Sep 20, 2026
14views this month
vs
Trust & integrity
| Signal | ai-serving | BodhiApp |
|---|---|---|
| Maintenance | Slowing (208d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization 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
- ai-serving
- Serving AI/ML models in open standard formats PMML and ONNX with HTTP and gRPC endpoints
- BodhiApp
- Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs
Stars
- ai-serving
- 166
- BodhiApp
- 139
Forks
- ai-serving
- 31
- BodhiApp
- 11
Open issues
- ai-serving
- 3
- BodhiApp
- 12
Language
- ai-serving
- Scala
- BodhiApp
- TypeScript
Adopt for
- ai-serving
- Ai-Serving is an inference server supporting PMML and ONNX formats via HTTP or gRPC endpoints, easily deployable with Docker.
- BodhiApp
- BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
Persona
- ai-serving
- -
- BodhiApp
- -
Runtime
- ai-serving
- -
- BodhiApp
- -
License
- ai-serving
- Apache-2.0
- BodhiApp
- The license information for BodhiApp has not been provided.
Last pushed
- ai-serving
- Feb 24, 2026
- BodhiApp
- Sep 20, 2026
Categories
- ai-serving
- Inference & Serving
- BodhiApp
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- ai-serving
- Slowing (36%)
- BodhiApp
- Very active (96%)
Days since push
- ai-serving
- 208d
- BodhiApp
- 0d
Open issues (now)
- ai-serving
- 3
- BodhiApp
- 12
Stars delta
- ai-serving
- 0 (30d)
- BodhiApp
- +3 (30d)
Open issues delta
- ai-serving
- 0 (30d)
- BodhiApp
- +2 (30d)
Full report
- ai-serving
- Trust report
- BodhiApp
- Trust report
Choose ai-serving if…
- ai-serving is primarily Scala; BodhiApp is TypeScript.
- Tags unique to ai-serving: ai-serving, grpc, inference-server, onnx.
- When you need to serve models in both PMML and ONNX formats without manual configuration changes between formats.
When NOT to use ai-serving
- Avoid if your team lacks familiarity or willingness to use Scala for deployment through sbt build system for customization needs.
- Not suitable when only one model format, either PMML or ONNX but not both, is needed and a simpler solution would suffice.
- If your project strictly requires a non-Dockerized setup that does not align with using pre-built Docker images.
Choose BodhiApp if…
- BodhiApp is primarily TypeScript; ai-serving is Scala.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (autodeployai/ai-serving) · observed Sep 20, 2026
- GitHub forks (autodeployai/ai-serving) · observed Sep 20, 2026
- Last push (autodeployai/ai-serving) · observed Feb 24, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- 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 on cards: ai-serving 166 · BodhiApp 139 (synced Sep 20, 2026).
Common questions
- What is the difference between ai-serving and BodhiApp?
- ai-serving: Serving AI/ML models in open standard formats PMML and ONNX with HTTP and gRPC endpoints. BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-serving over BodhiApp?
- Choose ai-serving over BodhiApp when ai-serving is primarily Scala; BodhiApp is TypeScript; Tags unique to ai-serving: ai-serving, grpc, inference-server, onnx; When you need to serve models in both PMML and ONNX formats without manual configuration changes between formats.
- When should I choose BodhiApp over ai-serving?
- Choose BodhiApp over ai-serving when BodhiApp is primarily TypeScript; ai-serving is Scala; 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 avoid ai-serving?
- Avoid if your team lacks familiarity or willingness to use Scala for deployment through sbt build system for customization needs. Not suitable when only one model format, either PMML or ONNX but not both, is needed and a simpler solution would suffice. If your project strictly requires a non-Dockerized setup that does not align with using pre-built Docker images.
- 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.
- Is ai-serving or BodhiApp more popular on GitHub?
- ai-serving has more GitHub stars (166 vs 139). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-serving and BodhiApp open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to ai-serving or BodhiApp?
- GraphCanon lists graph-backed alternatives at ai-serving alternatives and BodhiApp alternatives (ai-serving markdown twin, BodhiApp 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, ai-serving or BodhiApp?
- ai-serving: Slowing. BodhiApp: Very 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 ai-serving and BodhiApp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-serving trust report; BodhiApp trust report.