Comparison
BodhiApp vs shimmy
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 shimmy if shimmy is a Rust-based inference engine that excels in running AI models on various GPUs without the need for Python or llama.cpp dependencies. It provides an OpenAI API-compatible interface and supports GGUF natively.
Markdown twin · BodhiApp alternatives · shimmy alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | BodhiApp | shimmy |
|---|---|---|
| Maintenance | Active (18d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 1mo · 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
- shimmy
- ⚡ A Pure-Rust WebGPU Inference Engine, OpenAI-API Compatible and Native to GGUF
Stars
- BodhiApp
- 136
- shimmy
- 5.7k
Forks
- BodhiApp
- 10
- shimmy
- 548
Open issues
- BodhiApp
- 10
- shimmy
- 11
Language
- BodhiApp
- TypeScript
- shimmy
- Rust
Adopt for
- BodhiApp
- BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
- shimmy
- Shimmy is a Rust-based inference engine that excels in running AI models on various GPUs without the need for Python or llama.cpp dependencies. It provides an OpenAI API-compatible interface and supports GGUF natively.
Persona
- BodhiApp
- -
- shimmy
- -
Runtime
- BodhiApp
- -
- shimmy
- -
License
- BodhiApp
- The license information for BodhiApp has not been provided.
- shimmy
- Apache-2.0
Last pushed
- BodhiApp
- Jul 26, 2026
- shimmy
- Jul 24, 2026
Categories
- BodhiApp
- Inference & Serving, LLM Frameworks
- shimmy
- Developer Tools, Inference & Serving
Trust and health
Maintenance
- BodhiApp
- Active (82%)
- shimmy
- Very active (96%)
Days since push
- BodhiApp
- 18d
- shimmy
- 0d
Open issues (now)
- BodhiApp
- 10
- shimmy
- 11
Owner type
- BodhiApp
- Organization
- shimmy
- User
Full report
- BodhiApp
- Trust report
- shimmy
- Trust report
Choose BodhiApp if…
- BodhiApp is primarily TypeScript; shimmy is Rust.
- 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 shimmy if…
- shimmy is primarily Rust; BodhiApp is TypeScript.
- Tags unique to shimmy: api-server, command-line-tool, gguf, huggingface.
- Also covers Developer Tools.
- shimmy ships Docker support for self-hosted deployment.
- - When you want to run AI models with WebGPU support directly through Rust, reducing dependency overhead associated with Python environments
When NOT to use shimmy
- - If your project specifically requires Python-based dependencies or you prefer using the llama.cpp framework for model inference
- - In scenarios where compatibility with a wide range of existing Python machine learning ecosystems and their comprehensive tooling is necessary
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 (Michael-A-Kuykendall/shimmy) · observed Jul 25, 2026
- GitHub forks (Michael-A-Kuykendall/shimmy) · observed Jul 25, 2026
- Last push (Michael-A-Kuykendall/shimmy) · observed Jul 24, 2026
- License file (Apache-2.0) · observed Jul 25, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: BodhiApp 136 · shimmy 5.7k (synced Aug 13, 2026).
Common questions
- What is the difference between BodhiApp and shimmy?
- BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. shimmy: ⚡ A Pure-Rust WebGPU Inference Engine, OpenAI-API Compatible and Native to GGUF. See the comparison table for live GitHub stats and shared categories.
- When should I choose BodhiApp over shimmy?
- Choose BodhiApp over shimmy when BodhiApp is primarily TypeScript; shimmy is Rust; 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 shimmy over BodhiApp?
- Choose shimmy over BodhiApp when shimmy is primarily Rust; BodhiApp is TypeScript; Tags unique to shimmy: api-server, command-line-tool, gguf, huggingface; Also covers Developer Tools; shimmy ships Docker support for self-hosted deployment; - When you want to run AI models with WebGPU support directly through Rust, reducing dependency overhead associated with Python environments.
- 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 shimmy?
- - If your project specifically requires Python-based dependencies or you prefer using the llama.cpp framework for model inference - In scenarios where compatibility with a wide range of existing Python machine learning ecosystems and their comprehensive tooling is necessary
- Is BodhiApp or shimmy more popular on GitHub?
- shimmy has more GitHub stars (5,697 vs 136). Stars measure visibility, not whether either tool fits your constraints.
- Are BodhiApp and shimmy open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to BodhiApp or shimmy?
- GraphCanon lists graph-backed alternatives at BodhiApp alternatives and shimmy alternatives (BodhiApp markdown twin, shimmy 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 shimmy?
- BodhiApp: Active. shimmy: 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 BodhiApp and shimmy?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BodhiApp trust report; shimmy trust report.