---
title: "ai-gateway vs sie"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/ferro-labs-ai-gateway-vs-superlinked-sie"
tools: ["ferro-labs-ai-gateway", "superlinked-sie"]
---

# ai-gateway vs sie

*GraphCanon updated Aug 22, 2026*

## Verdict

Pick ai-gateway if ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment; pick sie if sie is an open-source inference server and production cluster for managing AI model deployment in various domains like NLP, deep learning, and more.

[ai-gateway](https://docs.ferrolabs.ai) reports 219 GitHub stars, 33 forks, and 63 open issues, last pushed Aug 7, 2026. [sie](https://superlinked.com) has 2.8k stars, 272 forks, and 13 open issues, last pushed Aug 21, 2026. Figures are from public GitHub metadata via [ai-gateway's repository](https://github.com/ferro-labs/ai-gateway) and [sie's repository](https://github.com/superlinked/sie).

| | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [sie](/tools/superlinked-sie.md) |
| --- | --- | --- |
| Tagline | Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls | Open-source inference server and production cluster for all the models your agent needs. |
| Stars | 219 | 2,804 |
| Forks | 33 | 272 |
| Open issues | 63 | 13 |
| Language | Go | Python |
| Adopt for | ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment. | sie is an open-source inference server and production cluster for managing AI model deployment in various domains like NLP, deep learning, and more. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 - a permissive free software license | Apache-2.0 |
| Categories | Inference & Serving, Model Training | Inference & Serving |

## Trust and health

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

| | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [sie](/tools/superlinked-sie.md) |
| --- | --- | --- |
| Days since push | 2d | 0d |
| Open issues (now) | 63 | 13 |
| Stars delta | Unknown | +507 (30d) |
| Open issues delta | Unknown | +2 (30d) |
| Full report | [trust report](/tools/ferro-labs-ai-gateway/trust.md) | [trust report](/tools/superlinked-sie/trust.md) |

## Decision facts: ai-gateway

- **Adopt for:** ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment.
- **License detail:** Apache-2.0 - a permissive free software license

## Decision facts: sie

- **Requirements:** sie operates under Python, necessitating a compatible runtime environment.; To fully leverage sie's capabilities, ensure your project aligns well with Apache-2.0 licensing requirements and practices.
- **Adopt for:** sie is an open-source inference server and production cluster for managing AI model deployment in various domains like NLP, deep learning, and more.

## Choose when

### Choose ai-gateway if…

- ai-gateway is primarily Go; sie is Python.
- Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy.
- Also covers Model Training.
- When you need to integrate more than 30 different LLM services including OpenAI and Anthropic

### Choose sie if…

- sie is primarily Python; ai-gateway is Go.
- Requirements: sie operates under Python, necessitating a compatible runtime environment.; To fully leverage sie's capabilities, ensure your project aligns well with Apache-2.0 licensing requirements and practices..
- Tags unique to sie: bge, colbert, data-pipeline, deep-learning.
- Use sie when you need to deploy multiple types of ML models including deep-learning embeddings or retrieval-augmented generation systems.

## When NOT to use ai-gateway

- If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features
- For small-scale projects that do not require comprehensive cost analysis tools
- When custom integration for specific guardrails is required, as ai-gateway offers generalized settings

## When NOT to use sie

- Avoid using sie if your project strictly focuses on areas outside the machine learning and deep-learning scope that sie is designed to support.
- Do not choose sie for projects requiring proprietary or specialized backend services that might conflict with its open-source framework.

## Common questions

### What is the difference between ai-gateway and sie?

ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. sie: Open-source inference server and production cluster for all the models your agent needs.. See the comparison table for live GitHub stats and shared categories.

### When should I choose ai-gateway over sie?

Choose ai-gateway over sie when ai-gateway is primarily Go; sie is Python; Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy; Also covers Model Training; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic.

### When should I choose sie over ai-gateway?

Choose sie over ai-gateway when sie is primarily Python; ai-gateway is Go; Requirements: sie operates under Python, necessitating a compatible runtime environment.; To fully leverage sie's capabilities, ensure your project aligns well with Apache-2.0 licensing requirements and practices.; Tags unique to sie: bge, colbert, data-pipeline, deep-learning; Use sie when you need to deploy multiple types of ML models including deep-learning embeddings or retrieval-augmented generation systems.

### When should I avoid ai-gateway?

If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features For small-scale projects that do not require comprehensive cost analysis tools When custom integration for specific guardrails is required, as ai-gateway offers generalized settings

### When should I avoid sie?

Avoid using sie if your project strictly focuses on areas outside the machine learning and deep-learning scope that sie is designed to support. Do not choose sie for projects requiring proprietary or specialized backend services that might conflict with its open-source framework.

### Is ai-gateway or sie more popular on GitHub?

sie has more GitHub stars (2,804 vs 219). Stars measure visibility, not whether either tool fits your constraints.

### Are ai-gateway and sie open source?

Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, sie: Apache-2.0).

### Where can I find alternatives to ai-gateway or sie?

GraphCanon lists graph-backed alternatives at [ai-gateway alternatives](/tools/ferro-labs-ai-gateway/alternatives) and [sie alternatives](/tools/superlinked-sie/alternatives) ([ai-gateway markdown twin](/tools/ferro-labs-ai-gateway/alternatives.md), [sie markdown twin](/tools/superlinked-sie/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/ferro-labs-ai-gateway-vs-superlinked-sie.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, ai-gateway or sie?

ai-gateway: Very active. sie: 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 ai-gateway and sie?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-gateway trust report](/tools/ferro-labs-ai-gateway/trust); [sie trust report](/tools/superlinked-sie/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=ferro-labs-ai-gateway`](/api/graphcanon/graph?tool=ferro-labs-ai-gateway)
- 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/_
