---
title: "glide vs aikit"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/einstack-glide-vs-kaito-project-aikit"
tools: ["einstack-glide", "kaito-project-aikit"]
---

# glide vs aikit

*GraphCanon updated Aug 24, 2026*

## Verdict

Pick glide if glide is an open-source Gateway tool built with Go for deploying and managing generative AI applications; 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.

[glide](https://docs.einstack.ai/glide/) reports 159 GitHub stars, 26 forks, and 68 open issues, last pushed Aug 12, 2024. [aikit](https://kaito-project.github.io/aikit/) has 537 stars, 57 forks, and 40 open issues, last pushed Aug 24, 2026. Figures are from public GitHub metadata via [glide's repository](https://github.com/EinStack/glide) and [aikit's repository](https://github.com/kaito-project/aikit).

| | [glide](/tools/einstack-glide.md) | [aikit](/tools/kaito-project-aikit.md) |
| --- | --- | --- |
| Tagline | A fast, simple model gateway for rapid development of production GenAI apps | Fine-tune, build, and deploy open-source LLMs easily! |
| Stars | 159 | 537 |
| Forks | 26 | 57 |
| Open issues | 68 | 40 |
| Language | Go | Go |
| Adopt for | Glide is an open-source Gateway tool built with Go for deploying and managing generative AI applications. | 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 | Glide operates under the Apache-2.0 license. | MIT |
| Categories | Inference & Serving | Inference & Serving, LLM Frameworks, Model Training |

## Trust and health

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

| | [glide](/tools/einstack-glide.md) | [aikit](/tools/kaito-project-aikit.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Very active (96%) |
| Days since push | 719d | 0d |
| Open issues (now) | 68 | 40 |
| Stars delta | Unknown | +3 (30d) |
| Open issues delta | Unknown | -3 (30d) |
| Full report | [trust report](/tools/einstack-glide/trust.md) | [trust report](/tools/kaito-project-aikit/trust.md) |

## Decision facts: glide

- **Hosting:** self hosted - A self-hosted gateway that requires Docker for setting up and managing environments across different OS images.
- **Pricing:** freemium - Free to use and open-source under the Apache-2.0 license, but additional cost might be incurred based on infrastructure where Glide is deployed.
- **Adopt for:** Glide is an open-source Gateway tool built with Go for deploying and managing generative AI applications.
- **License detail:** Glide operates under the Apache-2.0 license.

## 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 glide if…

- License: glide is Apache-2.0, aikit is MIT.
- A self-hosted gateway that requires Docker for setting up and managing environments across different OS images.
- Pricing: Free to use and open-source under the Apache-2.0 license, but additional cost might be incurred based on infrastructure where Glide is deployed..
- Tags unique to glide: gateway-api, genai, generative-ai, llm.
- When you need rapid deployment of GenAI apps using a simple model gateway that supports multiple Docker images including Alpine, Ubuntu, Distroless, and RedHat UBI.

### Choose aikit if…

- License: aikit is MIT, glide is Apache-2.0.
- Tags unique to aikit: buildkit, chatgpt, docker, fine-tuning.
- Also covers LLM Frameworks, Model Training.
- aikit ships Docker support for self-hosted deployment.
- - You need a flexible solution specifically built using Go and prefer its concurrency model.

## When NOT to use glide

- Avoid if your project's deployment environment is strictly Windows-based as Glide does not natively support Windows OS, requiring manual workaround steps from the demo README file.
- Not suitable when you require a more versatile language choice for development other than Go, since Glide itself is fully developed in this language.

## 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 glide and aikit?

glide: A fast, simple model gateway for rapid development of production GenAI apps. 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 glide over aikit?

Choose glide over aikit when License: glide is Apache-2.0, aikit is MIT; A self-hosted gateway that requires Docker for setting up and managing environments across different OS images; Pricing: Free to use and open-source under the Apache-2.0 license, but additional cost might be incurred based on infrastructure where Glide is deployed.; Tags unique to glide: gateway-api, genai, generative-ai, llm; When you need rapid deployment of GenAI apps using a simple model gateway that supports multiple Docker images including Alpine, Ubuntu, Distroless, and RedHat UBI.

### When should I choose aikit over glide?

Choose aikit over glide when License: aikit is MIT, glide is Apache-2.0; Tags unique to aikit: buildkit, chatgpt, docker, fine-tuning; Also covers LLM Frameworks, Model Training; aikit ships Docker support for self-hosted deployment; - You need a flexible solution specifically built using Go and prefer its concurrency model.

### When should I avoid glide?

Avoid if your project's deployment environment is strictly Windows-based as Glide does not natively support Windows OS, requiring manual workaround steps from the demo README file. Not suitable when you require a more versatile language choice for development other than Go, since Glide itself is fully developed in this language.

### 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 glide or aikit more popular on GitHub?

aikit has more GitHub stars (537 vs 159). Stars measure visibility, not whether either tool fits your constraints.

### Are glide and aikit open source?

Yes - both are open-source projects on GitHub (glide: Apache-2.0, aikit: MIT).

### Where can I find alternatives to glide or aikit?

GraphCanon lists graph-backed alternatives at [glide alternatives](/tools/einstack-glide/alternatives) and [aikit alternatives](/tools/kaito-project-aikit/alternatives) ([glide markdown twin](/tools/einstack-glide/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/einstack-glide-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, glide or aikit?

glide: 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 glide and aikit?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [glide trust report](/tools/einstack-glide/trust); [aikit trust report](/tools/kaito-project-aikit/trust).

---

**Machine-readable endpoints**

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