---
title: "jan vs EAGLE"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/janhq-jan-vs-safeailab-eagle"
tools: ["janhq-jan", "safeailab-eagle"]
---

# jan vs EAGLE

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick jan when jan is primarily TypeScript; EAGLE is Python; pick EAGLE when eAGLE is primarily Python; jan is TypeScript.

[jan](https://jan.ai/) reports 43k GitHub stars, 2.9k forks, and 387 open issues, last pushed Jul 10, 2026. [EAGLE](https://arxiv.org/pdf/2503.01840) has 2.5k stars, 292 forks, and 101 open issues, last pushed Feb 20, 2026. Figures are from public GitHub metadata via [jan's repository](https://github.com/janhq/jan) and [EAGLE's repository](https://github.com/SafeAILab/EAGLE).

| | [jan](/tools/janhq-jan.md) | [EAGLE](/tools/safeailab-eagle.md) |
| --- | --- | --- |
| Tagline | open source alternative to ChatGPT that runs offline locally | Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25). |
| Stars | 43,499 | 2,450 |
| Forks | 2,896 | 292 |
| Open issues | 387 | 101 |
| Language | TypeScript | Python |
| Adopt for | Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT. | - |
| Persona | - | - |
| Runtime | - | - |
| License | Other | Other |
| Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks |

## Trust and health

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

| | [jan](/tools/janhq-jan.md) | [EAGLE](/tools/safeailab-eagle.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Slowing (36%) |
| Days since push | 1d | 141d |
| Open issues (now) | 387 | 101 |
| Full report | [trust report](/tools/janhq-jan/trust.md) | [trust report](/tools/safeailab-eagle/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 jan if…

- jan is primarily TypeScript; EAGLE is Python.
- Tags unique to jan: chatgpt, gpt, llamacpp, llm.
- - If you require an offline-capable AI assistant for environments without internet access.

### Choose EAGLE if…

- EAGLE is primarily Python; jan is TypeScript.
- Tags unique to EAGLE: large-language-models, llm-inference, python, speculative-decoding.
- Leaner open-issue backlog (101).

## 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.

## When NOT to use EAGLE

- Last GitHub push was 142 days ago (slowing maintenance, Feb 20, 2026). Validate activity before betting a new project on EAGLE.
- 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.

## Common questions

### What is the difference between jan and EAGLE?

jan: open source alternative to ChatGPT that runs offline locally. EAGLE: Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).. See the comparison table for live GitHub stats and shared categories.

### When should I choose jan over EAGLE?

Choose jan over EAGLE when jan is primarily TypeScript; EAGLE is Python; Tags unique to jan: chatgpt, gpt, llamacpp, llm; - If you require an offline-capable AI assistant for environments without internet access.

### When should I choose EAGLE over jan?

Choose EAGLE over jan when EAGLE is primarily Python; jan is TypeScript; Tags unique to EAGLE: large-language-models, llm-inference, python, speculative-decoding; Leaner open-issue backlog (101).

### 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.

### When should I avoid EAGLE?

Last GitHub push was 142 days ago (slowing maintenance, Feb 20, 2026). Validate activity before betting a new project on EAGLE. 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.

### Is jan or EAGLE more popular on GitHub?

jan has more GitHub stars (43,499 vs 2,450). Stars measure visibility, not whether either tool fits your constraints.

### Are jan and EAGLE open source?

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

### Where can I find alternatives to jan or EAGLE?

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

### Which is better maintained, jan or EAGLE?

jan: Very active. EAGLE: Slowing. 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 jan and EAGLE?

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

---

**Machine-readable endpoints**

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