---
title: "WhisperLive vs jan"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/collabora-whisperlive-vs-janhq-jan"
tools: ["collabora-whisperlive", "janhq-jan"]
---

# WhisperLive vs jan

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick WhisperLive when whisperLive is primarily Python; jan is TypeScript; pick jan when jan is primarily TypeScript; WhisperLive is Python.

[WhisperLive](https://github.com/collabora/WhisperLive) reports 4.1k GitHub stars, 564 forks, and 41 open issues, last pushed Jul 6, 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 [WhisperLive's repository](https://github.com/collabora/WhisperLive) and [jan's repository](https://github.com/janhq/jan).

| | [WhisperLive](/tools/collabora-whisperlive.md) | [jan](/tools/janhq-jan.md) |
| --- | --- | --- |
| Tagline | A nearly-live implementation of OpenAI's Whisper. | open source alternative to ChatGPT that runs offline locally |
| Stars | 4,124 | 43,499 |
| Forks | 564 | 2,896 |
| Open issues | 41 | 387 |
| Language | Python | 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, Speech & Audio | Inference & Serving, LLM Frameworks |

## Trust and health

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

| | [WhisperLive](/tools/collabora-whisperlive.md) | [jan](/tools/janhq-jan.md) |
| --- | --- | --- |
| Days since push | 5d | 1d |
| Open issues (now) | 41 | 387 |
| Full report | [trust report](/tools/collabora-whisperlive/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 WhisperLive if…

- WhisperLive is primarily Python; jan is TypeScript.
- License: WhisperLive is MIT, jan is Other.
- Tags unique to WhisperLive: dictation, obs, openai, openvino.
- Also covers Speech & Audio.

### Choose jan if…

- jan is primarily TypeScript; WhisperLive is Python.
- License: jan is Other, WhisperLive 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 WhisperLive

- 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 WhisperLive and jan?

WhisperLive: A nearly-live implementation of OpenAI's Whisper.. 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 WhisperLive over jan?

Choose WhisperLive over jan when WhisperLive is primarily Python; jan is TypeScript; License: WhisperLive is MIT, jan is Other; Tags unique to WhisperLive: dictation, obs, openai, openvino; Also covers Speech & Audio.

### When should I choose jan over WhisperLive?

Choose jan over WhisperLive when jan is primarily TypeScript; WhisperLive is Python; License: jan is Other, WhisperLive 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 WhisperLive?

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 WhisperLive or jan more popular on GitHub?

jan has more GitHub stars (43,499 vs 4,124). Stars measure visibility, not whether either tool fits your constraints.

### Are WhisperLive and jan open source?

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

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

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

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

WhisperLive: 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 WhisperLive and jan?

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

---

**Machine-readable endpoints**

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