Comparison
BodhiApp vs NanoLLM
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 NanoLLM if nanoLLM optimizes local inference for LLMs via HuggingFace-compatible APIs, supporting quantization and multimodal applications like vision, speech, RAG, and vector databases.
Markdown twin · BodhiApp alternatives · NanoLLM alternatives
GraphCanon updated Sep 20, 2026
11views this month
vs
Trust & integrity
| Signal | BodhiApp | NanoLLM |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (702d 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 · Personal 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 11, 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
- NanoLLM
- Optimized local inference for LLMs using HuggingFace-like APIs
Stars
- BodhiApp
- 139
- NanoLLM
- 382
Forks
- BodhiApp
- 11
- NanoLLM
- 67
Open issues
- BodhiApp
- 12
- NanoLLM
- 66
Language
- BodhiApp
- TypeScript
- NanoLLM
- Python
Adopt for
- BodhiApp
- BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
- NanoLLM
- NanoLLM optimizes local inference for LLMs via HuggingFace-compatible APIs, supporting quantization and multimodal applications like vision, speech, RAG, and vector databases.
Persona
- BodhiApp
- -
- NanoLLM
- -
Runtime
- BodhiApp
- -
- NanoLLM
- -
License
- BodhiApp
- The license information for BodhiApp has not been provided.
- NanoLLM
- MIT
Last pushed
- BodhiApp
- Sep 20, 2026
- NanoLLM
- Oct 18, 2024
Categories
- BodhiApp
- Inference & Serving, LLM Frameworks
- NanoLLM
- Computer Vision, Inference & Serving, Speech & Audio, Vector Databases
Trust and health
Maintenance
- BodhiApp
- Very active (96%)
- NanoLLM
- Dormant (18%)
Days since push
- BodhiApp
- 0d
- NanoLLM
- 702d
Open issues (now)
- BodhiApp
- 12
- NanoLLM
- 66
Stars delta
- BodhiApp
- +3 (30d)
- NanoLLM
- +2 (30d)
Owner type
- BodhiApp
- Organization
- NanoLLM
- User
Full report
- BodhiApp
- Trust report
- NanoLLM
- Trust report
Choose BodhiApp if…
- BodhiApp is primarily TypeScript; NanoLLM 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, 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 NanoLLM if…
- NanoLLM is primarily Python; BodhiApp is TypeScript.
- Tags unique to NanoLLM: edge-ai, llm-inference, multimodal, rag.
- Also covers Computer Vision, Speech & Audio, Vector Databases.
- When building edge-ai solutions requiring optimized local inference
When NOT to use NanoLLM
- In scenarios where a fully cloud-based solution is preferred over local inference
- If the project does not benefit from multimodal or RAG capabilities
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 (dusty-nv/NanoLLM) · observed Sep 20, 2026
- GitHub forks (dusty-nv/NanoLLM) · observed Sep 20, 2026
- Last push (dusty-nv/NanoLLM) · observed Oct 18, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: BodhiApp 139 · NanoLLM 382 (synced Sep 20, 2026).
Common questions
- What is the difference between BodhiApp and NanoLLM?
- BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. NanoLLM: Optimized local inference for LLMs using HuggingFace-like APIs. See the comparison table for live GitHub stats and shared categories.
- When should I choose BodhiApp over NanoLLM?
- Choose BodhiApp over NanoLLM when BodhiApp is primarily TypeScript; NanoLLM 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, 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 NanoLLM over BodhiApp?
- Choose NanoLLM over BodhiApp when NanoLLM is primarily Python; BodhiApp is TypeScript; Tags unique to NanoLLM: edge-ai, llm-inference, multimodal, rag; Also covers Computer Vision, Speech & Audio, Vector Databases; When building edge-ai solutions requiring optimized local inference.
- 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 NanoLLM?
- In scenarios where a fully cloud-based solution is preferred over local inference If the project does not benefit from multimodal or RAG capabilities
- Is BodhiApp or NanoLLM more popular on GitHub?
- NanoLLM has more GitHub stars (382 vs 139). Stars measure visibility, not whether either tool fits your constraints.
- Are BodhiApp and NanoLLM open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to BodhiApp or NanoLLM?
- GraphCanon lists graph-backed alternatives at BodhiApp alternatives and NanoLLM alternatives (BodhiApp markdown twin, NanoLLM 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 NanoLLM?
- BodhiApp: Very active. NanoLLM: 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 NanoLLM?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BodhiApp trust report; NanoLLM trust report.