Comparison
BodhiApp vs vllm-ascend
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 vllm-ascend if vllm-ascend: Ascend hardware plugin for vLLM in C++.
Markdown twin · BodhiApp alternatives · vllm-ascend alternatives
GraphCanon updated Sep 20, 2026
6views this month
Trust & integrity
| Signal | BodhiApp | vllm-ascend |
|---|---|---|
| Maintenance | Very active (0d 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 | Published findings 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
- vllm-ascend
- Community maintained hardware plugin for vLLM on Ascend
Stars
- BodhiApp
- 139
- vllm-ascend
- 2.9k
Forks
- BodhiApp
- 11
- vllm-ascend
- 2.3k
Open issues
- BodhiApp
- 12
- vllm-ascend
- 3.4k
Language
- BodhiApp
- TypeScript
- vllm-ascend
- C++
Adopt for
- BodhiApp
- BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
- vllm-ascend
- vllm-ascend: Ascend hardware plugin for vLLM in C++
Persona
- BodhiApp
- -
- vllm-ascend
- -
Runtime
- BodhiApp
- -
- vllm-ascend
- -
License
- BodhiApp
- The license information for BodhiApp has not been provided.
- vllm-ascend
- Apache-2.0
Last pushed
- BodhiApp
- Sep 20, 2026
- vllm-ascend
- Sep 20, 2026
Categories
- BodhiApp
- Inference & Serving, LLM Frameworks
- vllm-ascend
- Inference & Serving
Trust and health
Open issues (now)
- BodhiApp
- 12
- vllm-ascend
- 3.4k
Stars delta
- BodhiApp
- +3 (30d)
- vllm-ascend
- +180 (30d)
Open issues delta
- BodhiApp
- +2 (30d)
- vllm-ascend
- +792 (30d)
OSV dependency advisories
- BodhiApp
- No lockfile (source not queried)
- vllm-ascend
- Published findings
Full report
- BodhiApp
- Trust report
- vllm-ascend
- Trust report
Choose BodhiApp if…
- BodhiApp is primarily TypeScript; vllm-ascend 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, llama, local-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 vllm-ascend if…
- vllm-ascend is primarily C++; BodhiApp is TypeScript.
- Tags unique to vllm-ascend: ascend, inference, llm-serving, model-serving.
- vllm-ascend ships Docker support for self-hosted deployment.
- You need to optimize large language model inference on Ascend hardware
When NOT to use vllm-ascend
- If you require support for GPU or CPU only setups without Ascend hardware
- When seeking proprietary software, as vllm-ascend is open-source under Apache License 2.0
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 (vllm-project/vllm-ascend) · observed Sep 20, 2026
- GitHub forks (vllm-project/vllm-ascend) · observed Sep 20, 2026
- Last push (vllm-project/vllm-ascend) · observed Sep 20, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: BodhiApp 139 · vllm-ascend 2.9k (synced Sep 20, 2026).
Common questions
- What is the difference between BodhiApp and vllm-ascend?
- BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. vllm-ascend: Community maintained hardware plugin for vLLM on Ascend. See the comparison table for live GitHub stats and shared categories.
- When should I choose BodhiApp over vllm-ascend?
- Choose BodhiApp over vllm-ascend when BodhiApp is primarily TypeScript; vllm-ascend 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, llama, local-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 vllm-ascend over BodhiApp?
- Choose vllm-ascend over BodhiApp when vllm-ascend is primarily C++; BodhiApp is TypeScript; Tags unique to vllm-ascend: ascend, inference, llm-serving, model-serving; vllm-ascend ships Docker support for self-hosted deployment; You need to optimize large language model inference on Ascend hardware.
- 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 vllm-ascend?
- If you require support for GPU or CPU only setups without Ascend hardware When seeking proprietary software, as vllm-ascend is open-source under Apache License 2.0
- Is BodhiApp or vllm-ascend more popular on GitHub?
- vllm-ascend has more GitHub stars (2,854 vs 139). Stars measure visibility, not whether either tool fits your constraints.
- Are BodhiApp and vllm-ascend open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to BodhiApp or vllm-ascend?
- GraphCanon lists graph-backed alternatives at BodhiApp alternatives and vllm-ascend alternatives (BodhiApp markdown twin, vllm-ascend 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 vllm-ascend?
- BodhiApp: Very active. vllm-ascend: 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 vllm-ascend?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BodhiApp trust report; vllm-ascend trust report.