Comparison
BodhiApp vs ZhiLight
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 ZhiLight if zhiLight is an LLM inference acceleration engine aimed at enhancing serving and inference efficiency for Llama models using CUDA integration with C++ programming.
Markdown twin · BodhiApp alternatives · ZhiLight alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | BodhiApp | ZhiLight |
|---|---|---|
| Maintenance | Active (18d since push) As of 1w · github_public_v1 | Slowing (159d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 1d · 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
- ZhiLight
- A highly optimized LLM inference acceleration engine for Llama and its variants.
Stars
- BodhiApp
- 136
- ZhiLight
- 908
Forks
- BodhiApp
- 10
- ZhiLight
- 104
Open issues
- BodhiApp
- 10
- ZhiLight
- 6
Language
- BodhiApp
- TypeScript
- ZhiLight
- C++
Adopt for
- BodhiApp
- BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
- ZhiLight
- ZhiLight is an LLM inference acceleration engine aimed at enhancing serving and inference efficiency for Llama models using CUDA integration with C++ programming.
Persona
- BodhiApp
- -
- ZhiLight
- -
Runtime
- BodhiApp
- -
- ZhiLight
- -
License
- BodhiApp
- The license information for BodhiApp has not been provided.
- ZhiLight
- Apache-2.0
Last pushed
- BodhiApp
- Jul 26, 2026
- ZhiLight
- Mar 18, 2026
Categories
- BodhiApp
- Inference & Serving, LLM Frameworks
- ZhiLight
- Inference & Serving
Trust and health
Maintenance
- BodhiApp
- Active (82%)
- ZhiLight
- Slowing (36%)
Days since push
- BodhiApp
- 18d
- ZhiLight
- 159d
Open issues (now)
- BodhiApp
- 10
- ZhiLight
- 6
Stars delta
- BodhiApp
- Unknown
- ZhiLight
- +3 (30d)
Open issues delta
- BodhiApp
- Unknown
- ZhiLight
- 0 (30d)
Full report
- BodhiApp
- Trust report
- ZhiLight
- Trust report
Choose BodhiApp if…
- BodhiApp is primarily TypeScript; ZhiLight is C++.
- 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, local-llm, localllm.
- 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 ZhiLight if…
- ZhiLight is primarily C++; BodhiApp is TypeScript.
- Pricing: The open-source version of ZhiLight is available under the Apache-2.0 license, allowing free use and modification..
- Tags unique to ZhiLight: cuda, deepseek-r1, gpt, inference-engine.
- Use ZhiLight if your application specifically requires optimization for Llama model variants, as it has specialized capabilities for this purpose.
When NOT to use ZhiLight
- Avoid using ZhiLight if your project relies on models other than Llama and its variants since the tool is optimized specifically for these models.
- If your infrastructure does not include CUDA-compatible GPUs, or you prefer non-GPU-based acceleration solutions, then ZhiLight might not be advantageous.
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 (zhihu/ZhiLight) · observed Aug 25, 2026
- GitHub forks (zhihu/ZhiLight) · observed Aug 25, 2026
- Last push (zhihu/ZhiLight) · observed Mar 18, 2026
- License file (Apache-2.0) · observed Aug 25, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: BodhiApp 136 · ZhiLight 908 (synced Aug 13, 2026).
Common questions
- What is the difference between BodhiApp and ZhiLight?
- BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. ZhiLight: A highly optimized LLM inference acceleration engine for Llama and its variants.. See the comparison table for live GitHub stats and shared categories.
- When should I choose BodhiApp over ZhiLight?
- Choose BodhiApp over ZhiLight when BodhiApp is primarily TypeScript; ZhiLight is C++; 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, local-llm, localllm; Also covers LLM Frameworks; You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs.
- When should I choose ZhiLight over BodhiApp?
- Choose ZhiLight over BodhiApp when ZhiLight is primarily C++; BodhiApp is TypeScript; Pricing: The open-source version of ZhiLight is available under the Apache-2.0 license, allowing free use and modification.; Tags unique to ZhiLight: cuda, deepseek-r1, gpt, inference-engine; Use ZhiLight if your application specifically requires optimization for Llama model variants, as it has specialized capabilities for this purpose.
- 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 ZhiLight?
- Avoid using ZhiLight if your project relies on models other than Llama and its variants since the tool is optimized specifically for these models. If your infrastructure does not include CUDA-compatible GPUs, or you prefer non-GPU-based acceleration solutions, then ZhiLight might not be advantageous.
- Is BodhiApp or ZhiLight more popular on GitHub?
- ZhiLight has more GitHub stars (908 vs 136). Stars measure visibility, not whether either tool fits your constraints.
- Are BodhiApp and ZhiLight open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to BodhiApp or ZhiLight?
- GraphCanon lists graph-backed alternatives at BodhiApp alternatives and ZhiLight alternatives (BodhiApp markdown twin, ZhiLight 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 ZhiLight?
- BodhiApp: Active. ZhiLight: 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 ZhiLight?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BodhiApp trust report; ZhiLight trust report.