Comparison
BodhiApp vs afm-Server
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 afm-Server if afm-Server provides macOS users with local access to Apple's on-device foundational AI models through an API compatible with OpenAI standards.
Markdown twin · BodhiApp alternatives · afm-Server alternatives
GraphCanon updated Sep 20, 2026
17views this month
vs
Trust & integrity
| Signal | BodhiApp | afm-Server |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (110d 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
- BodhiApp
- Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs
- afm-Server
- macOS menu bar app for exposing Apple's on-device Foundation Models via an OpenAI-compatible API
Stars
- BodhiApp
- 139
- afm-Server
- 192
Forks
- BodhiApp
- 11
- afm-Server
- 9
Open issues
- BodhiApp
- 12
- afm-Server
- 2
Language
- BodhiApp
- TypeScript
- afm-Server
- Swift
Adopt for
- BodhiApp
- BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
- afm-Server
- afm-Server provides macOS users with local access to Apple's on-device foundational AI models through an API compatible with OpenAI standards.
Persona
- BodhiApp
- -
- afm-Server
- -
Runtime
- BodhiApp
- -
- afm-Server
- -
License
- BodhiApp
- The license information for BodhiApp has not been provided.
- afm-Server
- MIT
Last pushed
- BodhiApp
- Sep 20, 2026
- afm-Server
- Jun 2, 2026
Categories
- BodhiApp
- Inference & Serving, LLM Frameworks
- afm-Server
- Inference & Serving
Trust and health
Maintenance
- BodhiApp
- Very active (96%)
- afm-Server
- Slowing (36%)
Days since push
- BodhiApp
- 0d
- afm-Server
- 110d
Open issues (now)
- BodhiApp
- 12
- afm-Server
- 2
Open issues delta
- BodhiApp
- +2 (30d)
- afm-Server
- +1 (30d)
Full report
- BodhiApp
- Trust report
- afm-Server
- Trust report
Choose BodhiApp if…
- BodhiApp is primarily TypeScript; afm-Server is Swift.
- 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 afm-Server if…
- afm-Server is primarily Swift; BodhiApp is TypeScript.
- Tags unique to afm-Server: apple-intelligence, foundation-models, macos, menu-bar-app.
- When you need local, cloud-free inference services from Apple's device-based AI models and are working within a macOS environment
When NOT to use afm-Server
- In scenarios where a cross-platform solution is necessary as afm-Server only supports macOS environments
- When your application demands real-time, high-throughput API access that can be limited by the device's hardware capabilities compared to cloud solutions
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 (Techopolis/afm-Server) · observed Sep 20, 2026
- GitHub forks (Techopolis/afm-Server) · observed Sep 20, 2026
- Last push (Techopolis/afm-Server) · observed Jun 2, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: BodhiApp 139 · afm-Server 192 (synced Sep 20, 2026).
Common questions
- What is the difference between BodhiApp and afm-Server?
- BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. afm-Server: macOS menu bar app for exposing Apple's on-device Foundation Models via an OpenAI-compatible API. See the comparison table for live GitHub stats and shared categories.
- When should I choose BodhiApp over afm-Server?
- Choose BodhiApp over afm-Server when BodhiApp is primarily TypeScript; afm-Server is Swift; 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 afm-Server over BodhiApp?
- Choose afm-Server over BodhiApp when afm-Server is primarily Swift; BodhiApp is TypeScript; Tags unique to afm-Server: apple-intelligence, foundation-models, macos, menu-bar-app; When you need local, cloud-free inference services from Apple's device-based AI models and are working within a macOS environment.
- 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 afm-Server?
- In scenarios where a cross-platform solution is necessary as afm-Server only supports macOS environments When your application demands real-time, high-throughput API access that can be limited by the device's hardware capabilities compared to cloud solutions
- Is BodhiApp or afm-Server more popular on GitHub?
- afm-Server has more GitHub stars (192 vs 139). Stars measure visibility, not whether either tool fits your constraints.
- Are BodhiApp and afm-Server open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to BodhiApp or afm-Server?
- GraphCanon lists graph-backed alternatives at BodhiApp alternatives and afm-Server alternatives (BodhiApp markdown twin, afm-Server 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 afm-Server?
- BodhiApp: Very active. afm-Server: Slowing. 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 afm-Server?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BodhiApp trust report; afm-Server trust report.