---
title: "aisix vs shimmy"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/api7-aisix-vs-michael-a-kuykendall-shimmy"
tools: ["api7-aisix", "michael-a-kuykendall-shimmy"]
---

# aisix vs shimmy

*GraphCanon updated Aug 24, 2026*

## Verdict

Pick aisix if aISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers; pick shimmy if shimmy is a Rust-based inference engine that excels in running AI models on various GPUs without the need for Python or llama.cpp dependencies. It provides an OpenAI API-compatible interface and supports GGUF natively.

[aisix](https://api7.ai/ai-gateway) reports 92 GitHub stars, 15 forks, and 98 open issues, last pushed Aug 8, 2026. [shimmy](https://github.com/Michael-A-Kuykendall/shimmy) has 5.8k stars, 559 forks, and 12 open issues, last pushed Aug 20, 2026. Figures are from public GitHub metadata via [aisix's repository](https://github.com/api7/aisix) and [shimmy's repository](https://github.com/Michael-A-Kuykendall/shimmy).

| | [aisix](/tools/api7-aisix.md) | [shimmy](/tools/michael-a-kuykendall-shimmy.md) |
| --- | --- | --- |
| Tagline | Open-source AI gateway for LLMs & AI agents | ⚡ A Pure-Rust WebGPU Inference Engine, OpenAI-API Compatible and Native to GGUF |
| Stars | 92 | 5,808 |
| Forks | 15 | 559 |
| Open issues | 98 | 12 |
| Language | Rust | Rust |
| Adopt for | AISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers | Shimmy is a Rust-based inference engine that excels in running AI models on various GPUs without the need for Python or llama.cpp dependencies. It provides an OpenAI API-compatible interface and supports GGUF natively. |
| Persona | - | - |
| Runtime | - | - |
| License | AISIX is available under the Apache License, Version 2.0 which allows you to freely use, modify, and distribute it with proper attribution | Apache-2.0 |
| Categories | AI Agents, Inference & Serving | Developer Tools, Inference & Serving |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [aisix](/tools/api7-aisix.md) | [shimmy](/tools/michael-a-kuykendall-shimmy.md) |
| --- | --- | --- |
| Days since push | 1d | 4d |
| Open issues (now) | 98 | 12 |
| Stars delta | Unknown | +111 (30d) |
| Open issues delta | Unknown | +1 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/api7-aisix/trust.md) | [trust report](/tools/michael-a-kuykendall-shimmy/trust.md) |

## Decision facts: aisix

- **Pricing:** freemium - The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model.
- **Requirements:** Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files
- **Adopt for:** AISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers
- **License detail:** AISIX is available under the Apache License, Version 2.0 which allows you to freely use, modify, and distribute it with proper attribution

## Decision facts: shimmy

- **Adopt for:** Shimmy is a Rust-based inference engine that excels in running AI models on various GPUs without the need for Python or llama.cpp dependencies. It provides an OpenAI API-compatible interface and supports GGUF natively.

## Choose when

### Choose aisix if…

- Pricing: The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model..
- Requirements: Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files.
- Tags unique to aisix: ai-agents, llm-gateway, observability, self-hosted.
- Also covers AI Agents.
- When you need an OpenAI-compatible API that can route requests to multiple LLM providers like OpenAI, Anthropic, Gemini, and Bedrock

### Choose shimmy if…

- Tags unique to shimmy: api-server, command-line-tool, gguf, huggingface.
- Also covers Developer Tools.
- - When you want to run AI models with WebGPU support directly through Rust, reducing dependency overhead associated with Python environments

## When NOT to use aisix

- If you require a fully managed service with minimal setup and configuration since AISIX requires self-hosting or connecting to AISIX Cloud for management features
- For projects preferring dynamic languages over statically compiled binaries, given that AISIX is built in Rust and ships as one static binary

## When NOT to use shimmy

- - If your project specifically requires Python-based dependencies or you prefer using the llama.cpp framework for model inference
- - In scenarios where compatibility with a wide range of existing Python machine learning ecosystems and their comprehensive tooling is necessary

## Common questions

### What is the difference between aisix and shimmy?

aisix: Open-source AI gateway for LLMs & AI agents. shimmy: ⚡ A Pure-Rust WebGPU Inference Engine, OpenAI-API Compatible and Native to GGUF. See the comparison table for live GitHub stats and shared categories.

### When should I choose aisix over shimmy?

Choose aisix over shimmy when Pricing: The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model.; Requirements: Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files; Tags unique to aisix: ai-agents, llm-gateway, observability, self-hosted; Also covers AI Agents; When you need an OpenAI-compatible API that can route requests to multiple LLM providers like OpenAI, Anthropic, Gemini, and Bedrock.

### When should I choose shimmy over aisix?

Choose shimmy over aisix when Tags unique to shimmy: api-server, command-line-tool, gguf, huggingface; Also covers Developer Tools; - When you want to run AI models with WebGPU support directly through Rust, reducing dependency overhead associated with Python environments.

### When should I avoid aisix?

If you require a fully managed service with minimal setup and configuration since AISIX requires self-hosting or connecting to AISIX Cloud for management features For projects preferring dynamic languages over statically compiled binaries, given that AISIX is built in Rust and ships as one static binary

### When should I avoid shimmy?

- If your project specifically requires Python-based dependencies or you prefer using the llama.cpp framework for model inference - In scenarios where compatibility with a wide range of existing Python machine learning ecosystems and their comprehensive tooling is necessary

### Is aisix or shimmy more popular on GitHub?

shimmy has more GitHub stars (5,808 vs 92). Stars measure visibility, not whether either tool fits your constraints.

### Are aisix and shimmy open source?

Yes - both are open-source projects on GitHub (aisix: Apache-2.0, shimmy: Apache-2.0).

### Where can I find alternatives to aisix or shimmy?

GraphCanon lists graph-backed alternatives at [aisix alternatives](/tools/api7-aisix/alternatives) and [shimmy alternatives](/tools/michael-a-kuykendall-shimmy/alternatives) ([aisix markdown twin](/tools/api7-aisix/alternatives.md), [shimmy markdown twin](/tools/michael-a-kuykendall-shimmy/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/api7-aisix-vs-michael-a-kuykendall-shimmy.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, aisix or shimmy?

aisix: Very active. shimmy: 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 aisix and shimmy?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aisix trust report](/tools/api7-aisix/trust); [shimmy trust report](/tools/michael-a-kuykendall-shimmy/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=api7-aisix`](/api/graphcanon/graph?tool=api7-aisix)
- 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/_
