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Comparison

Yi vs aikit

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 aikit if aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source.

Markdown twin · Yi alternatives · aikit alternatives

GraphCanon updated Sep 30, 2026

14views this month

Yi logo

Yi

01-ai/Yi

★ 7.8kpushed Nov 27, 2024
vs
aikit logo

aikit

kaito-project/aikit

★ 539pushed Sep 18, 2026

Trust & integrity

SignalYiaikit
Maintenance
Dormant (659d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Sep 19, 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 19, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Sep 18, 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
Yi trust reportaikit trust reportTrust methodology

Tagline

Yi
A series of large language models trained from scratch
aikit
Fine-tune, build, and deploy open-source LLMs easily!

Stars

Yi
7.8k
aikit
539

Forks

Yi
499
aikit
57

Open issues

Yi
31
aikit
37

Language

Yi
Jupyter Notebook
aikit
Go

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
aikit
Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies.

Persona

Yi
-
aikit
-

Runtime

Yi
-
aikit
-

License

Yi
Apache-2.0
aikit
MIT

Last pushed

Yi
Nov 27, 2024
aikit
Sep 18, 2026

Categories

Yi
Inference & Serving, LLM Frameworks
aikit
Inference & Serving, LLM Frameworks, Model Training

Trust and health

Maintenance

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

Days since push

Yi
659d
aikit
0d

Open issues (now)

Yi
31
aikit
37

Stars delta

Yi
+11 (30d)
aikit
+5 (30d)

Open issues delta

Yi
0 (30d)
aikit
-6 (30d)

OSV dependency advisories

Yi
Published findings
aikit
No lockfile (source not queried)

Full report

Yi
Trust report
aikit
Trust report

Choose Yi if…

  • Yi is primarily Jupyter Notebook; aikit is Go.
  • License: Yi is Apache-2.0, aikit is MIT.
  • 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.
  • 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 aikit if…

  • aikit is primarily Go; Yi is Jupyter Notebook.
  • License: aikit is MIT, Yi is Apache-2.0.
  • Tags unique to aikit: ai, buildkit, chatgpt, docker.
  • Also covers Model Training.
  • - You need a flexible solution specifically built using Go and prefer its concurrency model.

When NOT to use aikit

  • - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit.
  • - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these.
GitHubDetails

Explore

Yi trust report →aikit trust report →Inference & Serving category →LLM Frameworks category →Model Training 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 · aikit 539 (synced Sep 20, 2026).

Common questions

What is the difference between Yi and aikit?
Yi: A series of large language models trained from scratch. aikit: Fine-tune, build, and deploy open-source LLMs easily!. See the comparison table for live GitHub stats and shared categories.
When should I choose Yi over aikit?
Choose Yi over aikit when Yi is primarily Jupyter Notebook; aikit is Go; License: Yi is Apache-2.0, aikit is MIT; 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; 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 aikit over Yi?
Choose aikit over Yi when aikit is primarily Go; Yi is Jupyter Notebook; License: aikit is MIT, Yi is Apache-2.0; Tags unique to aikit: ai, buildkit, chatgpt, docker; Also covers Model Training; - You need a flexible solution specifically built using Go and prefer its concurrency model.
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 aikit?
- You have a preference or requirement for Python-based tools due to the lack of native support in Aikit. - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these.
Is Yi or aikit more popular on GitHub?
Yi has more GitHub stars (7,833 vs 539). Stars measure visibility, not whether either tool fits your constraints.
Are Yi and aikit open source?
Yes - both are open-source projects on GitHub (Yi: Apache-2.0, aikit: MIT).
Where can I find alternatives to Yi or aikit?
GraphCanon lists graph-backed alternatives at Yi alternatives and aikit alternatives (Yi markdown twin, aikit 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 aikit?
Yi: Dormant. aikit: 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 aikit?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Yi trust report; aikit trust report.

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