Steel vs Clunkyard
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Steel compared with Clunkyard
| Detail |
Steel |
Clunkyard |
| What it does | GPU-accelerated rigid-body dynamics solver for robot learning
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Open source
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| Pricing | Not given
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| Key features | - 3.8× PhysX throughput on 20 benchmarks geometric mean
- 13.0× performance on heterogeneous task mixtures
- Per-environment work scheduling for efficiency
- Reduced-coordinate articulation dynamics
- Differentiable simulation
- Rigid-deformable coupling support
- Compliant and hydroelastic contact
- 62% less GPU memory than PhysX at matched batch size
- 3.90 million environment steps per second peak throughput
| - Git-based version control for bot projects
- Support for Node 20 or later
- Local match engine for testing
- Unified revision history across edit methods
- Agent access key authentication
- Support for up to 32 commits per push
- Multi-language support via toolchains
- Immutable revision creation on push
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| What makes it different | - Designed for heterogeneous workloads with different robots and tasks simulated together efficiently
- Integrated into open-source Newton for seamless adoption without separate physics stack
- Supports diverse physical interactions beyond rigid bodies
- Enables scaling of diverse robot experience for general-purpose learning
| - Unified workflow combining browser, WebDAV, and Git editing methods
- No administrator access required for installation
- Durable operation handling for unreliable connections
- Support for multiple concurrent editors with merge handling
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 68 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 24 | 0 |
| Citation Flow (Majestic) | 40 | 4 |
| Referring domains (Majestic) | 2061 | 1 |
2 details filled in for both companies.
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