---
title: "awesome-hosting vs jan"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/dalisoft-awesome-hosting-vs-janhq-jan"
tools: ["dalisoft-awesome-hosting", "janhq-jan"]
---

# awesome-hosting vs jan

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick awesome-hosting when license: awesome-hosting is MIT, jan is Other; pick jan when license: jan is Other, awesome-hosting is MIT.

[awesome-hosting](https://github.com/dalisoft/awesome-hosting) reports 907 GitHub stars, 93 forks, and 0 open issues, last pushed Jul 10, 2026. [jan](https://jan.ai/) has 43k stars, 2.9k forks, and 387 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [awesome-hosting's repository](https://github.com/dalisoft/awesome-hosting) and [jan's repository](https://github.com/janhq/jan).

| | [awesome-hosting](/tools/dalisoft-awesome-hosting.md) | [jan](/tools/janhq-jan.md) |
| --- | --- | --- |
| Tagline | List of awesome hosting sorted by minimal plan price | open source alternative to ChatGPT that runs offline locally |
| Stars | 907 | 43,499 |
| Forks | 93 | 2,896 |
| Open issues | 0 | 387 |
| Language | - | TypeScript |
| Adopt for | - | Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Other |
| Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks |

## Trust and health

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

| | [awesome-hosting](/tools/dalisoft-awesome-hosting.md) | [jan](/tools/janhq-jan.md) |
| --- | --- | --- |
| Days since push | 0d | 1d |
| Open issues (now) | 0 | 387 |
| Owner type | User | Organization |
| Full report | [trust report](/tools/dalisoft-awesome-hosting/trust.md) | [trust report](/tools/janhq-jan/trust.md) |

## Decision facts: jan

- **Adopt for:** Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT.

## Choose when

### Choose awesome-hosting if…

- License: awesome-hosting is MIT, jan is Other.
- Tags unique to awesome-hosting: ai, clawdbot, cloud, database.
- More recently updated (last pushed Jul 10, 2026).

### Choose jan if…

- License: jan is Other, awesome-hosting is MIT.
- Tags unique to jan: chatgpt, gpt, llamacpp, llm.
- - If you require an offline-capable AI assistant for environments without internet access.

## When NOT to use awesome-hosting

- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## When NOT to use jan

- - If you require real-time updates to the AI model, since Jan uses static local models which may not get frequent updates.
- - When a vast knowledge base or continuous learning capabilities are essential, as Jan's offline nature constrains its ability to stay current with new information.

## Common questions

### What is the difference between awesome-hosting and jan?

awesome-hosting: List of awesome hosting sorted by minimal plan price. jan: open source alternative to ChatGPT that runs offline locally. See the comparison table for live GitHub stats and shared categories.

### When should I choose awesome-hosting over jan?

Choose awesome-hosting over jan when License: awesome-hosting is MIT, jan is Other; Tags unique to awesome-hosting: ai, clawdbot, cloud, database; More recently updated (last pushed Jul 10, 2026).

### When should I choose jan over awesome-hosting?

Choose jan over awesome-hosting when License: jan is Other, awesome-hosting is MIT; Tags unique to jan: chatgpt, gpt, llamacpp, llm; - If you require an offline-capable AI assistant for environments without internet access.

### When should I avoid awesome-hosting?

Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### When should I avoid jan?

- If you require real-time updates to the AI model, since Jan uses static local models which may not get frequent updates. - When a vast knowledge base or continuous learning capabilities are essential, as Jan's offline nature constrains its ability to stay current with new information.

### Is awesome-hosting or jan more popular on GitHub?

jan has more GitHub stars (43,499 vs 907). Stars measure visibility, not whether either tool fits your constraints.

### Are awesome-hosting and jan open source?

Yes - both are open-source projects on GitHub (awesome-hosting: MIT, jan: Other).

### Where can I find alternatives to awesome-hosting or jan?

GraphCanon lists graph-backed alternatives at [awesome-hosting alternatives](/tools/dalisoft-awesome-hosting/alternatives) and [jan alternatives](/tools/janhq-jan/alternatives) ([awesome-hosting markdown twin](/tools/dalisoft-awesome-hosting/alternatives.md), [jan markdown twin](/tools/janhq-jan/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/dalisoft-awesome-hosting-vs-janhq-jan.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, awesome-hosting or jan?

awesome-hosting: Very active. jan: 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 awesome-hosting and jan?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-hosting trust report](/tools/dalisoft-awesome-hosting/trust); [jan trust report](/tools/janhq-jan/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=dalisoft-awesome-hosting`](/api/graphcanon/graph?tool=dalisoft-awesome-hosting)
- 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/_
