GraphCanon updated Sep 24, 2026 · GitHub synced Sep 24, 2026
52views this month
Decision brief
Holodeck is a high-fidelity simulator for reinforcement learning and robotics research in Python using Unreal Engine, suited for creating detailed simulated environments.
Good fit when
- - When you need to simulate complex robotics scenes in high fidelity that mirror real-world scenarios accurately
- - For advanced drone simulation requiring precise physics-based interactions within the Virtual environment
Avoid when
- - 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.
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (1678d since push)
- As of Sep 24, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 24, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install holodeckSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides a simulated environment for testing reinforcement learning algorithms in robotics scenarios, supports drones and uses Unreal Engine.
Capability facts
- Languages
- python
Source: github.language · Sep 24, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 24, 2026)
(requires >= Python 3.5)Source link
Tags
README
Installation (requires = Python 3.5) See Installation for complete instructions (including Docker).
For agents
This page has a .md twin and JSON over the API.