--- title: "holodeck vs auto-maple" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/byu-pccl-holodeck-vs-tanjeffreyz-auto-maple" tools: ["byu-pccl-holodeck", "tanjeffreyz-auto-maple"] --- # holodeck vs auto-maple *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 auto-maple if auto Maple employs TensorFlow for machine learning and OpenCV for computer vision to navigate and automate gameplay in MapleStory. [holodeck](https://holodeck.cs.byu.edu) reports 597 GitHub stars, 42 forks, and 52 open issues, last pushed Feb 19, 2022. [auto-maple](https://github.com/tanjeffreyz/auto-maple) has 678 stars, 319 forks, and 60 open issues, last pushed Dec 26, 2025. Figures are from public GitHub metadata via [holodeck's repository](https://github.com/BYU-PCCL/holodeck) and [auto-maple's repository](https://github.com/tanjeffreyz/auto-maple). | | [holodeck](/tools/byu-pccl-holodeck.md) | [auto-maple](/tools/tanjeffreyz-auto-maple.md) | | --- | --- | --- | | Tagline | High Fidelity Simulator for Reinforcement Learning and Robotics Research | Python AI for playing MapleStory using machine learning and computer vision | | Stars | 597 | 678 | | Forks | 42 | 319 | | Open issues | 52 | 60 | | Language | Python | Python | | 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. | Auto Maple employs TensorFlow for machine learning and OpenCV for computer vision to navigate and automate gameplay in MapleStory. | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | Computer Vision, Model Training | Computer Vision, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [holodeck](/tools/byu-pccl-holodeck.md) | [auto-maple](/tools/tanjeffreyz-auto-maple.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 1623d | 217d | | Open issues (now) | 52 | 60 | | Owner type | Organization | User | | Full report | [trust report](/tools/byu-pccl-holodeck/trust.md) | [trust report](/tools/tanjeffreyz-auto-maple/trust.md) | ## Shared compatibility - **Python**: [holodeck](/tools/byu-pccl-holodeck.md) - Python runtime; [auto-maple](/tools/tanjeffreyz-auto-maple.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: auto-maple - **Adopt for:** Auto Maple employs TensorFlow for machine learning and OpenCV for computer vision to navigate and automate gameplay in MapleStory. ## Choose when ### Choose holodeck if… - Tags unique to holodeck: drones, reinforcement-learning, robotics, simulator. - - When you need to simulate complex robotics scenes in high fidelity that mirror real-world scenarios accurately - Leaner open-issue backlog (52). ### Choose auto-maple if… - Tags unique to auto-maple: machine-learning, maplestory. - When seeking to automate gameplay actions in MapleStory with specific support for command books tailored to the game's mechanics - More GitHub stars (678 vs 597) - visibility, not fit. ## 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 auto-maple - When the need is for general-purpose game automation not specific to MapleStory's unique requirements and content - For users who do not require or prefer not to use TensorFlow for machine learning aspects, focusing instead on more straightforward scripting methods ## Common questions ### What is the difference between holodeck and auto-maple? holodeck: High Fidelity Simulator for Reinforcement Learning and Robotics Research. auto-maple: Python AI for playing MapleStory using machine learning and computer vision. See the comparison table for live GitHub stats and shared categories. ### When should I choose holodeck over auto-maple? Choose holodeck over auto-maple when Tags unique to holodeck: drones, reinforcement-learning, robotics, simulator; - When you need to simulate complex robotics scenes in high fidelity that mirror real-world scenarios accurately; Leaner open-issue backlog (52). ### When should I choose auto-maple over holodeck? Choose auto-maple over holodeck when Tags unique to auto-maple: machine-learning, maplestory; When seeking to automate gameplay actions in MapleStory with specific support for command books tailored to the game's mechanics; More GitHub stars (678 vs 597) - visibility, not fit. ### 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 auto-maple? When the need is for general-purpose game automation not specific to MapleStory's unique requirements and content For users who do not require or prefer not to use TensorFlow for machine learning aspects, focusing instead on more straightforward scripting methods ### Is holodeck or auto-maple more popular on GitHub? auto-maple has more GitHub stars (678 vs 597). Stars measure visibility, not whether either tool fits your constraints. ### Are holodeck and auto-maple open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to holodeck or auto-maple? GraphCanon lists graph-backed alternatives at [holodeck alternatives](/tools/byu-pccl-holodeck/alternatives) and [auto-maple alternatives](/tools/tanjeffreyz-auto-maple/alternatives) ([holodeck markdown twin](/tools/byu-pccl-holodeck/alternatives.md), [auto-maple markdown twin](/tools/tanjeffreyz-auto-maple/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-tanjeffreyz-auto-maple.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, holodeck or auto-maple? holodeck: Dormant. auto-maple: 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 holodeck and auto-maple? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [holodeck trust report](/tools/byu-pccl-holodeck/trust); [auto-maple trust report](/tools/tanjeffreyz-auto-maple/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/_