---
title: "holodeck vs habitat-sim"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/byu-pccl-holodeck-vs-facebookresearch-habitat-sim"
tools: ["byu-pccl-holodeck", "facebookresearch-habitat-sim"]
---

# holodeck vs habitat-sim

*GraphCanon updated Jul 31, 2026*

## Verdict

Pick holodeck if holodeck is a high-fidelity simulator for reinforcement learning and robotics research in Python using Unreal Engine, suited for creating detailed simulated environments; pick habitat-sim if habitat-Sim is ideal for researchers and developers needing high-performance simulation capabilities for 3D environments in Embodied AI.

[holodeck](https://holodeck.cs.byu.edu) reports 597 GitHub stars, 42 forks, and 52 open issues, last pushed Feb 19, 2022. [habitat-sim](https://aihabitat.org/) has 3.8k stars, 544 forks, and 270 open issues, last pushed Jul 21, 2026. Figures are from public GitHub metadata via [holodeck's repository](https://github.com/BYU-PCCL/holodeck) and [habitat-sim's repository](https://github.com/facebookresearch/habitat-sim).

| | [holodeck](/tools/byu-pccl-holodeck.md) | [habitat-sim](/tools/facebookresearch-habitat-sim.md) |
| --- | --- | --- |
| Tagline | High Fidelity Simulator for Reinforcement Learning and Robotics Research | A flexible, high-performance 3D simulator for Embodied AI research |
| Stars | 597 | 3,765 |
| Forks | 42 | 544 |
| Open issues | 52 | 270 |
| Language | Python | C++ |
| Adopt for | Holodeck is a high-fidelity simulator for reinforcement learning and robotics research in Python using Unreal Engine, suited for creating detailed simulated environments. | Habitat-Sim is ideal for researchers and developers needing high-performance simulation capabilities for 3D environments in Embodied AI. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | The library is distributed under the MIT license, which allows for free use in both open-source and proprietary software. |
| Categories | Computer Vision, Model Training | Computer Vision |

## Trust and health

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

| | [holodeck](/tools/byu-pccl-holodeck.md) | [habitat-sim](/tools/facebookresearch-habitat-sim.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Active (82%) |
| Days since push | 1623d | 9d |
| Open issues (now) | 52 | 270 |
| Full report | [trust report](/tools/byu-pccl-holodeck/trust.md) | [trust report](/tools/facebookresearch-habitat-sim/trust.md) |

## Shared compatibility

- **Python**: [holodeck](/tools/byu-pccl-holodeck.md) - Python runtime; [habitat-sim](/tools/facebookresearch-habitat-sim.md) - Python runtime

## Decision facts: holodeck

- **Adopt for:** Holodeck is a high-fidelity simulator for reinforcement learning and robotics research in Python using Unreal Engine, suited for creating detailed simulated environments.

## Decision facts: habitat-sim

- **Requirements:** Installation can be done via Conda, pip, Docker, or building from source. Building from source requires C++ development environment setup.
- **Adopt for:** Habitat-Sim is ideal for researchers and developers needing high-performance simulation capabilities for 3D environments in Embodied AI.
- **License detail:** The library is distributed under the MIT license, which allows for free use in both open-source and proprietary software.

## Choose when

### Choose holodeck if…

- holodeck is primarily Python; habitat-sim is C++.
- Tags unique to holodeck: drones, reinforcement-learning, unreal-engine.
- Also covers Model Training.
- - When you need to simulate complex robotics scenes in high fidelity that mirror real-world scenarios accurately

### Choose habitat-sim if…

- habitat-sim is primarily C++; holodeck is Python.
- Requirements: Installation can be done via Conda, pip, Docker, or building from source. Building from source requires C++ development environment setup..
- Tags unique to habitat-sim: cplusplus, sim2real.
- When you require high performance simulation of 3D environments for research in embodied artificial intelligence

## When NOT to use holodeck

- - If your project is limited to simpler scenarios where less detailed simulations are acceptable for training reinforcement learning models
- - For projects with constraints on computing resources since Unreal Engine can be demanding and this limits its use in resource-constrained environments.

## When NOT to use habitat-sim

- If your project does not require the performance characteristics that Habitat-Sim provides for embodied AI research; a less specialized tool might be sufficient or more user-friendly
- When you have limited development resources since building from source requires an understanding of C++ and handling potential build issues could divert significant effort

## Common questions

### What is the difference between holodeck and habitat-sim?

holodeck: High Fidelity Simulator for Reinforcement Learning and Robotics Research. habitat-sim: A flexible, high-performance 3D simulator for Embodied AI research. See the comparison table for live GitHub stats and shared categories.

### When should I choose holodeck over habitat-sim?

Choose holodeck over habitat-sim when holodeck is primarily Python; habitat-sim is C++; Tags unique to holodeck: drones, reinforcement-learning, unreal-engine; Also covers Model Training; - When you need to simulate complex robotics scenes in high fidelity that mirror real-world scenarios accurately.

### When should I choose habitat-sim over holodeck?

Choose habitat-sim over holodeck when habitat-sim is primarily C++; holodeck is Python; Requirements: Installation can be done via Conda, pip, Docker, or building from source. Building from source requires C++ development environment setup.; Tags unique to habitat-sim: cplusplus, sim2real; When you require high performance simulation of 3D environments for research in embodied artificial intelligence.

### When should I avoid holodeck?

- If your project is limited to simpler scenarios where less detailed simulations are acceptable for training reinforcement learning models - For projects with constraints on computing resources since Unreal Engine can be demanding and this limits its use in resource-constrained environments.

### When should I avoid habitat-sim?

If your project does not require the performance characteristics that Habitat-Sim provides for embodied AI research; a less specialized tool might be sufficient or more user-friendly When you have limited development resources since building from source requires an understanding of C++ and handling potential build issues could divert significant effort

### Is holodeck or habitat-sim more popular on GitHub?

habitat-sim has more GitHub stars (3,765 vs 597). Stars measure visibility, not whether either tool fits your constraints.

### Are holodeck and habitat-sim open source?

Yes - both are open-source projects on GitHub (holodeck: MIT, habitat-sim: MIT).

### Where can I find alternatives to holodeck or habitat-sim?

GraphCanon lists graph-backed alternatives at [holodeck alternatives](/tools/byu-pccl-holodeck/alternatives) and [habitat-sim alternatives](/tools/facebookresearch-habitat-sim/alternatives) ([holodeck markdown twin](/tools/byu-pccl-holodeck/alternatives.md), [habitat-sim markdown twin](/tools/facebookresearch-habitat-sim/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/byu-pccl-holodeck-vs-facebookresearch-habitat-sim.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, holodeck or habitat-sim?

holodeck: Dormant. habitat-sim: 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 holodeck and habitat-sim?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [holodeck trust report](/tools/byu-pccl-holodeck/trust); [habitat-sim trust report](/tools/facebookresearch-habitat-sim/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=byu-pccl-holodeck`](/api/graphcanon/graph?tool=byu-pccl-holodeck)
- 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/_
