Home/Compare/BodhiApp vs vllm-ascend

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

BodhiApp logo

BodhiApp

BodhiSearch/BodhiApp

★ 139pushed Sep 20, 2026
vs
vllm-ascend logo

vllm-ascend

vllm-project/vllm-ascend

★ 2.9kpushed Sep 20, 2026

Trust & integrity

SignalBodhiAppvllm-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 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.

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