---
title: "AirSim vs hold"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/microsoft-airsim-vs-zc-alexfan-hold"
tools: ["microsoft-airsim", "zc-alexfan-hold"]
---

# AirSim vs hold

*GraphCanon updated Aug 1, 2026*

## Verdict

Pick AirSim if open source simulator for autonomous vehicles using Unreal Engine and Unity from Microsoft AI & Research, focusing on autonomous vehicle behavior with deep reinforcement learning capabilities; pick hold if hOLD for monocular video analysis of hand-object interactions without prior object models.

[AirSim](https://microsoft.github.io/AirSim/) reports 18k GitHub stars, 4.9k forks, and 774 open issues, last pushed Jun 30, 2026. [hold](https://zc-alexfan.github.io/hold) has 489 stars, 16 forks, and 9 open issues, last pushed Mar 10, 2026. Figures are from public GitHub metadata via [AirSim's repository](https://github.com/microsoft/AirSim) and [hold's repository](https://github.com/zc-alexfan/hold).

| | [AirSim](/tools/microsoft-airsim.md) | [hold](/tools/zc-alexfan-hold.md) |
| --- | --- | --- |
| Tagline | Open source simulator for autonomous vehicles built on Unreal Engine / Unity | Method for joint reconstruction of articulated hands and objects from monocular videos |
| Stars | 18,353 | 489 |
| Forks | 4,908 | 16 |
| Open issues | 774 | 9 |
| Language | C++ | Python |
| Adopt for | Open source simulator for autonomous vehicles using Unreal Engine and Unity from Microsoft AI & Research, focusing on autonomous vehicle behavior with deep reinforcement learning capabilities. | HOLD for monocular video analysis of hand-object interactions without prior object models. |
| Persona | - | - |
| Runtime | - | - |
| License | AirSim operates under the MIT License, which allows for free use and modification in both open source and proprietary software. | MIT |
| Categories | Computer Vision, Model Training | Computer Vision |

## Trust and health

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

| | [AirSim](/tools/microsoft-airsim.md) | [hold](/tools/zc-alexfan-hold.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Slowing (36%) |
| Days since push | 30d | 143d |
| Open issues (now) | 774 | 9 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/microsoft-airsim/trust.md) | [trust report](/tools/zc-alexfan-hold/trust.md) |

## Decision facts: AirSim

- **Requirements:** Supports Unreal Engine or Unity for simulation environments.
- **Adopt for:** Open source simulator for autonomous vehicles using Unreal Engine and Unity from Microsoft AI & Research, focusing on autonomous vehicle behavior with deep reinforcement learning capabilities.
- **License detail:** AirSim operates under the MIT License, which allows for free use and modification in both open source and proprietary software.

## Decision facts: hold

- **Adopt for:** HOLD for monocular video analysis of hand-object interactions without prior object models.

## Choose when

### Choose AirSim if…

- AirSim is primarily C++; hold is Python.
- License: AirSim is Other, hold is MIT.
- Requirements: Supports Unreal Engine or Unity for simulation environments..
- Tags unique to AirSim: airsim, autonomous-vehicles, control-systems, cross-platform.
- Also covers Model Training.
- When you need to simulate environments built specifically within the Unreal Engine or Unity game engines.

### Choose hold if…

- hold is primarily Python; AirSim is C++.
- License: hold is MIT, AirSim is Other.
- Tags unique to hold: 3d-reconstruction, augmented-reality, hand-object-interaction, neural-networks.
- When no prior knowledge of object shapes is available but joint 3D reconstruction of hands manipulating objects from single-view videos is needed

## When NOT to use AirSim

- If your project requires simulation within a different game engine not supported by AirSim, such as CryEngine or Godot.
- When cross-platform flexibility is less of a priority compared to other specific requirements like performance optimization exclusive to one operating system.
- In cases where the development environment lacks adequate support for C++, making integration efforts more cumbersome.

## When NOT to use hold

- If there are pre-scanned object models that could enhance accuracy beyond self-reconstruction capabilities
- In scenarios where the computational resources for preprocessing and training on custom datasets are insufficient

## Common questions

### What is the difference between AirSim and hold?

AirSim: Open source simulator for autonomous vehicles built on Unreal Engine / Unity. hold: Method for joint reconstruction of articulated hands and objects from monocular videos. See the comparison table for live GitHub stats and shared categories.

### When should I choose AirSim over hold?

Choose AirSim over hold when AirSim is primarily C++; hold is Python; License: AirSim is Other, hold is MIT; Requirements: Supports Unreal Engine or Unity for simulation environments.; Tags unique to AirSim: airsim, autonomous-vehicles, control-systems, cross-platform; Also covers Model Training; When you need to simulate environments built specifically within the Unreal Engine or Unity game engines.

### When should I choose hold over AirSim?

Choose hold over AirSim when hold is primarily Python; AirSim is C++; License: hold is MIT, AirSim is Other; Tags unique to hold: 3d-reconstruction, augmented-reality, hand-object-interaction, neural-networks; When no prior knowledge of object shapes is available but joint 3D reconstruction of hands manipulating objects from single-view videos is needed.

### When should I avoid AirSim?

If your project requires simulation within a different game engine not supported by AirSim, such as CryEngine or Godot. When cross-platform flexibility is less of a priority compared to other specific requirements like performance optimization exclusive to one operating system. In cases where the development environment lacks adequate support for C++, making integration efforts more cumbersome.

### When should I avoid hold?

If there are pre-scanned object models that could enhance accuracy beyond self-reconstruction capabilities In scenarios where the computational resources for preprocessing and training on custom datasets are insufficient

### Is AirSim or hold more popular on GitHub?

AirSim has more GitHub stars (18,353 vs 489). Stars measure visibility, not whether either tool fits your constraints.

### Are AirSim and hold open source?

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

### Where can I find alternatives to AirSim or hold?

GraphCanon lists graph-backed alternatives at [AirSim alternatives](/tools/microsoft-airsim/alternatives) and [hold alternatives](/tools/zc-alexfan-hold/alternatives) ([AirSim markdown twin](/tools/microsoft-airsim/alternatives.md), [hold markdown twin](/tools/zc-alexfan-hold/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/microsoft-airsim-vs-zc-alexfan-hold.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, AirSim or hold?

AirSim: Steady. hold: 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 AirSim and hold?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AirSim trust report](/tools/microsoft-airsim/trust); [hold trust report](/tools/zc-alexfan-hold/trust).

---

**Machine-readable endpoints**

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