Comparison
holodeck vs l2r
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 l2r if l2R is an open-source platform for reinforcement learning in autonomous racing simulators.
Markdown twin · holodeck alternatives · l2r alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | holodeck | l2r |
|---|---|---|
| Maintenance | Dormant (1623d since push) As of 3w · github_public_v1 | Dormant (954d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- holodeck
- High Fidelity Simulator for Reinforcement Learning and Robotics Research
- l2r
- Open-source reinforcement learning environment for autonomous racing
Stars
- holodeck
- 597
- l2r
- 178
Forks
- holodeck
- 42
- l2r
- 17
Open issues
- holodeck
- 52
- l2r
- 10
Language
- holodeck
- Python
- l2r
- Python
Adopt for
- holodeck
- Holodeck is a high-fidelity simulator for reinforcement learning and robotics research in Python using Unreal Engine, suited for creating detailed simulated environments.
- l2r
- L2R is an open-source platform for reinforcement learning in autonomous racing simulators.
Persona
- holodeck
- -
- l2r
- -
Runtime
- holodeck
- -
- l2r
- -
License
- holodeck
- MIT
- l2r
- GPL-2.0 license ensures freedom to run, study, change and redistribute the software under specific conditions.
Last pushed
- holodeck
- Feb 19, 2022
- l2r
- Dec 20, 2023
Categories
- holodeck
- Computer Vision, Model Training
- l2r
- Computer Vision, Model Training
Trust and health
Days since push
- holodeck
- 1623d
- l2r
- 954d
Open issues (now)
- holodeck
- 52
- l2r
- 10
OSV dependency advisories
- holodeck
- No lockfile (source not queried)
- l2r
- Published findings
Full report
- holodeck
- Trust report
- l2r
- Trust report
Shared compatibility
- Python · holodeck: Python runtime · l2r: Python runtime
Choose holodeck if…
- License: holodeck is MIT, l2r is GPL-2.0.
- Tags unique to holodeck: computer-vision, drones, robotics, simulator.
- - When you need to simulate complex robotics scenes in high fidelity that mirror real-world scenarios accurately
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.
Choose l2r if…
- License: l2r is GPL-2.0, holodeck is MIT.
- Requirements: Requires Docker; Requires Python 3.8 or higher; Nvidia graphics card and associated drives are necessary, with minimum recommendation of an Nvidia 970 GTX for simulator operation; Installation assumes a Linux operating system. For non-Linux environments, a public cloud instance with GPU is suggested.
- Tags unique to l2r: arrival-simulator, autonomous-driving, deep-learning.
- l2r ships Docker support for self-hosted deployment.
- When your project includes developing AI systems for autonomous vehicle simulation with a focus on racing environments
When NOT to use l2r
- When your project does not involve autonomous driving or is not specifically focused on the simulation of racing scenarios
- For those who cannot meet the hardware requirements, such as lacking a suitable Nvidia GPU for running the simulator
- If you are working in an OS environment that is not Linux, given that proper support and installation steps target Linux systems
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (BYU-PCCL/holodeck) · observed Jul 31, 2026
- GitHub forks (BYU-PCCL/holodeck) · observed Jul 31, 2026
- Last push (BYU-PCCL/holodeck) · observed Feb 19, 2022
- License file (MIT) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (learn-to-race/l2r) · observed Aug 1, 2026
- GitHub forks (learn-to-race/l2r) · observed Aug 1, 2026
- Last push (learn-to-race/l2r) · observed Dec 20, 2023
- License file (GPL-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: holodeck 597 · l2r 178 (synced Jul 31, 2026).
Common questions
- What is the difference between holodeck and l2r?
- holodeck: High Fidelity Simulator for Reinforcement Learning and Robotics Research. l2r: Open-source reinforcement learning environment for autonomous racing. See the comparison table for live GitHub stats and shared categories.
- When should I choose holodeck over l2r?
- Choose holodeck over l2r when License: holodeck is MIT, l2r is GPL-2.0; Tags unique to holodeck: computer-vision, drones, robotics, simulator; - When you need to simulate complex robotics scenes in high fidelity that mirror real-world scenarios accurately.
- When should I choose l2r over holodeck?
- Choose l2r over holodeck when License: l2r is GPL-2.0, holodeck is MIT; Requirements: Requires Docker; Requires Python 3.8 or higher; Nvidia graphics card and associated drives are necessary, with minimum recommendation of an Nvidia 970 GTX for simulator operation; Installation assumes a Linux operating system. For non-Linux environments, a public cloud instance with GPU is suggested; Tags unique to l2r: arrival-simulator, autonomous-driving, deep-learning; l2r ships Docker support for self-hosted deployment; When your project includes developing AI systems for autonomous vehicle simulation with a focus on racing environments.
- 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 l2r?
- When your project does not involve autonomous driving or is not specifically focused on the simulation of racing scenarios For those who cannot meet the hardware requirements, such as lacking a suitable Nvidia GPU for running the simulator If you are working in an OS environment that is not Linux, given that proper support and installation steps target Linux systems
- Is holodeck or l2r more popular on GitHub?
- holodeck has more GitHub stars (597 vs 178). Stars measure visibility, not whether either tool fits your constraints.
- Are holodeck and l2r open source?
- Yes - both are open-source projects on GitHub (holodeck: MIT, l2r: GPL-2.0).
- Where can I find alternatives to holodeck or l2r?
- GraphCanon lists graph-backed alternatives at holodeck alternatives and l2r alternatives (holodeck markdown twin, l2r markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, holodeck or l2r?
- holodeck: Dormant. l2r: Dormant. 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 l2r?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: holodeck trust report; l2r trust report.