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Comparison

Yi vs BodhiApp

Verdict

Pick Yi if yi is a series of large language models trained from scratch, offering local deployment and inference capabilities. It is suitable for users who need to run large language models locally and have the necessary hardware,如; pick BodhiApp if bodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.

Markdown twin · Yi alternatives · BodhiApp alternatives

GraphCanon updated Sep 30, 2026

12views this month

Yi logo

Yi

01-ai/Yi

★ 7.8kpushed Nov 27, 2024
vs
BodhiApp logo

BodhiApp

BodhiSearch/BodhiApp

★ 139pushed Sep 20, 2026

Trust & integrity

SignalYiBodhiApp
Maintenance
Dormant (659d since push)
As of Sep 18, 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 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Sep 18, 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
Yi trust reportBodhiApp trust reportTrust methodology

Tagline

Yi
A series of large language models trained from scratch
BodhiApp
Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs

Stars

Yi
7.8k
BodhiApp
139

Forks

Yi
499
BodhiApp
11

Open issues

Yi
31
BodhiApp
12

Language

Yi
Jupyter Notebook
BodhiApp
TypeScript

Adopt for

Yi
Yi is a series of large language models trained from scratch, offering local deployment and inference capabilities. It is suitable for users who need to run large language models locally and have the necessary hardware,如
BodhiApp
BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.

Persona

Yi
-
BodhiApp
-

Runtime

Yi
-
BodhiApp
-

License

Yi
Apache-2.0
BodhiApp
The license information for BodhiApp has not been provided.

Last pushed

Yi
Nov 27, 2024
BodhiApp
Sep 20, 2026

Categories

Yi
Inference & Serving, LLM Frameworks
BodhiApp
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

Yi
Dormant (18%)
BodhiApp
Very active (96%)

Days since push

Yi
659d
BodhiApp
0d

Open issues (now)

Yi
31
BodhiApp
12

Stars delta

Yi
+11 (30d)
BodhiApp
+3 (30d)

Open issues delta

Yi
0 (30d)
BodhiApp
+2 (30d)

OSV dependency advisories

Yi
Published findings
BodhiApp
No lockfile (source not queried)

Full report

Yi
Trust report
BodhiApp
Trust report

Choose Yi if…

  • Yi is primarily Jupyter Notebook; BodhiApp is TypeScript.
  • Requirements: Min 80 GB RAM; Ensure Python 3.10 or later is installed.; Hardware requirements vary depending on the specific Yi model being used..
  • Tags unique to Yi: inference, jupyter-notebook, large-language-models, local-deployment.
  • Yi ships Docker support for self-hosted deployment.
  • Use Yi if you require a large language model that can be deployed and run locally, especially on hardware like the A800 (80G).

When NOT to use Yi

  • Avoid Yi if your hardware does not meet the minimum requirements for running the models, such as the A800 (80G) for Yi-34B-Chat.
  • Do not use Yi if you prefer cloud-based solutions or do not have the capability to install and manage the local environment required for Yi.
GitHubDetails

Choose BodhiApp if…

  • BodhiApp is primarily TypeScript; Yi is Jupyter Notebook.
  • 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.
  • 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.
GitHubDetails

Explore

Yi trust report →BodhiApp trust report →Inference & Serving category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Yi 7.8k · BodhiApp 139 (synced Sep 20, 2026).

Common questions

What is the difference between Yi and BodhiApp?
Yi: A series of large language models trained from scratch. BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. See the comparison table for live GitHub stats and shared categories.
When should I choose Yi over BodhiApp?
Choose Yi over BodhiApp when Yi is primarily Jupyter Notebook; BodhiApp is TypeScript; Requirements: Min 80 GB RAM; Ensure Python 3.10 or later is installed.; Hardware requirements vary depending on the specific Yi model being used.; Tags unique to Yi: inference, jupyter-notebook, large-language-models, local-deployment; Yi ships Docker support for self-hosted deployment; Use Yi if you require a large language model that can be deployed and run locally, especially on hardware like the A800 (80G).
When should I choose BodhiApp over Yi?
Choose BodhiApp over Yi when BodhiApp is primarily TypeScript; Yi is Jupyter Notebook; 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; You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs.
When should I avoid Yi?
Avoid Yi if your hardware does not meet the minimum requirements for running the models, such as the A800 (80G) for Yi-34B-Chat. Do not use Yi if you prefer cloud-based solutions or do not have the capability to install and manage the local environment required for Yi.
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.
Is Yi or BodhiApp more popular on GitHub?
Yi has more GitHub stars (7,833 vs 139). Stars measure visibility, not whether either tool fits your constraints.
Are Yi and BodhiApp open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to Yi or BodhiApp?
GraphCanon lists graph-backed alternatives at Yi alternatives and BodhiApp alternatives (Yi markdown twin, BodhiApp 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, Yi or BodhiApp?
Yi: Dormant. BodhiApp: 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 Yi and BodhiApp?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Yi trust report; BodhiApp trust report.

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