---
title: "airunner vs jax"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/capsize-games-airunner-vs-jax-ml-jax"
tools: ["capsize-games-airunner", "jax-ml-jax"]
---

# airunner vs jax

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick airunner when license: airunner is GPL-3.0, jax is Apache-2.0; pick jax when license: jax is Apache-2.0, airunner is GPL-3.0.

[airunner](https://airunner.capsizegames.com) reports 1.3k GitHub stars, 99 forks, and 5 open issues, last pushed Jul 8, 2026. [jax](https://docs.jax.dev) has 36k stars, 3.7k forks, and 2.5k open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [airunner's repository](https://github.com/Capsize-Games/airunner) and [jax's repository](https://github.com/jax-ml/jax).

| | [airunner](/tools/capsize-games-airunner.md) | [jax](/tools/jax-ml-jax.md) |
| --- | --- | --- |
| Tagline | Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated workflows | Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more |
| Stars | 1,312 | 35,999 |
| Forks | 99 | 3,676 |
| Open issues | 5 | 2,495 |
| Language | Python | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | GPL-3.0 | Apache-2.0 |
| Categories | Computer Vision, Evaluation & Observability, Inference & Serving, Speech & Audio | Computer Vision, Evaluation & Observability, Vector Databases |

## Trust and health

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

| | [airunner](/tools/capsize-games-airunner.md) | [jax](/tools/jax-ml-jax.md) |
| --- | --- | --- |
| Days since push | 3d | 0d |
| Open issues (now) | 5 | 2.5k |
| Full report | [trust report](/tools/capsize-games-airunner/trust.md) | [trust report](/tools/jax-ml-jax/trust.md) |

## Shared compatibility

- **Python**: [airunner](/tools/capsize-games-airunner.md) - Python runtime; [jax](/tools/jax-ml-jax.md) - Python runtime

## Choose when

### Choose airunner if…

- License: airunner is GPL-3.0, jax is Apache-2.0.
- Tags unique to airunner: ai-art, chatbot, deep-learning, image-generation.
- Also covers Inference & Serving, Speech & Audio.
- airunner ships Docker support for self-hosted deployment.

### Choose jax if…

- License: jax is Apache-2.0, airunner is GPL-3.0.
- Tags unique to jax: jax, python.
- Also covers Vector Databases.

## When NOT to use airunner

- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

## When NOT to use jax

- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

## Common questions

### What is the difference between airunner and jax?

airunner: Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated workflows. jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more. See the comparison table for live GitHub stats and shared categories.

### When should I choose airunner over jax?

Choose airunner over jax when License: airunner is GPL-3.0, jax is Apache-2.0; Tags unique to airunner: ai-art, chatbot, deep-learning, image-generation; Also covers Inference & Serving, Speech & Audio; airunner ships Docker support for self-hosted deployment.

### When should I choose jax over airunner?

Choose jax over airunner when License: jax is Apache-2.0, airunner is GPL-3.0; Tags unique to jax: jax, python; Also covers Vector Databases.

### When should I avoid airunner?

Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

### When should I avoid jax?

Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

### Is airunner or jax more popular on GitHub?

jax has more GitHub stars (35,999 vs 1,312). Stars measure visibility, not whether either tool fits your constraints.

### Are airunner and jax open source?

Yes - both are open-source projects on GitHub (airunner: GPL-3.0, jax: Apache-2.0).

### Where can I find alternatives to airunner or jax?

GraphCanon lists graph-backed alternatives at [airunner alternatives](/tools/capsize-games-airunner/alternatives) and [jax alternatives](/tools/jax-ml-jax/alternatives) ([airunner markdown twin](/tools/capsize-games-airunner/alternatives.md), [jax markdown twin](/tools/jax-ml-jax/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/capsize-games-airunner-vs-jax-ml-jax.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, airunner or jax?

airunner: Very active. jax: 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 airunner and jax?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [airunner trust report](/tools/capsize-games-airunner/trust); [jax trust report](/tools/jax-ml-jax/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=capsize-games-airunner`](/api/graphcanon/graph?tool=capsize-games-airunner)
- 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/_
