holodeck logo

holodeck

BYU-PCCL/holodeck

High Fidelity Simulator for Reinforcement Learning and Robotics Research

GraphCanon updated 2w · GitHub synced 2w

597 stars42 forksLast push 4y Python MIT

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 (1623d since push)
As of 2w
Provenance
Not a fork · Organization account
As of 2w
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install holodeck
PyPI

Similar 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 · Jul 31, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 31, 2026)

(requires >= Python 3.5)
Source link

Tags

README

Installation

pip install holodeck

(requires >= Python 3.5)

See Installation for complete instructions (including Docker).

For agents

This page has a .md twin and JSON over the API.

Was this helpful?

Anonymous feedback helps us improve pages and translations.