--- title: "Yi vs aikit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/01-ai-yi-vs-kaito-project-aikit" tools: ["01-ai-yi", "kaito-project-aikit"] --- # Yi vs aikit *GraphCanon updated Aug 17, 2026* ## Verdict Pick Yi if yi is a series of large language models designed for local deployment and inference. It supports running on specific hardware configurations like A800 with ample GPU memory; pick aikit if aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies. [Yi](https://01.ai) reports 7.8k GitHub stars, 491 forks, and 31 open issues, last pushed Nov 27, 2024. [aikit](https://kaito-project.github.io/aikit/) has 534 stars, 57 forks, and 43 open issues, last pushed Jul 20, 2026. Figures are from public GitHub metadata via [Yi's repository](https://github.com/01-ai/Yi) and [aikit's repository](https://github.com/kaito-project/aikit). | | [Yi](/tools/01-ai-yi.md) | [aikit](/tools/kaito-project-aikit.md) | | --- | --- | --- | | Tagline | A series of large language models trained from scratch | Fine-tune, build, and deploy open-source LLMs easily! | | Stars | 7,822 | 534 | | Forks | 491 | 57 | | Open issues | 31 | 43 | | Language | Jupyter Notebook | Go | | Adopt for | Yi is a series of large language models designed for local deployment and inference. It supports running on specific hardware configurations like A800 with ample GPU memory. | Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Yi](/tools/01-ai-yi.md) | [aikit](/tools/kaito-project-aikit.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 628d | 4d | | Open issues (now) | 31 | 43 | | Stars delta | -2 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/01-ai-yi/trust.md) | [trust report](/tools/kaito-project-aikit/trust.md) | ## Decision facts: Yi - **Adopt for:** Yi is a series of large language models designed for local deployment and inference. It supports running on specific hardware configurations like A800 with ample GPU memory. ## Decision facts: aikit - **Adopt for:** Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies. ## Choose when ### Choose Yi if… - Yi is primarily Jupyter Notebook; aikit is Go. - License: Yi is Apache-2.0, aikit is MIT. - Tags unique to Yi: inference, large language models, model-download, python. - Use Yi when you need to perform local inference and have access to suitable hardware such as the A800 GPU. ### 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 Yi - Avoid using Yi if your local machine lacks sufficient memory or processing power to handle the large language models. - Do not select Yi when you prefer cloud-based solutions that do not require manual setup of a local environment and model download. ## 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. ## 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; Tags unique to Yi: inference, large language models, model-download, python; Use Yi when you need to perform local inference and have access to suitable hardware such as the A800 GPU. ### 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 using Yi if your local machine lacks sufficient memory or processing power to handle the large language models. Do not select Yi when you prefer cloud-based solutions that do not require manual setup of a local environment and model download. ### 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 (7,822 vs 534). 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](/tools/01-ai-yi/alternatives) and [aikit alternatives](/tools/kaito-project-aikit/alternatives) ([Yi markdown twin](/tools/01-ai-yi/alternatives.md), [aikit markdown twin](/tools/kaito-project-aikit/alternatives.md)), 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](/compare/01-ai-yi-vs-kaito-project-aikit.md) 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](/tools/01-ai-yi/trust); [aikit trust report](/tools/kaito-project-aikit/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=01-ai-yi`](/api/graphcanon/graph?tool=01-ai-yi) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_