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Encrust vs Steel

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Encrust compared with Steel
DetailEncrust logo EncrustSteel logo Steel
What it doesThe fast resin slicer that checks every layer GPU-accelerated rigid-body dynamics solver for robot learning
StageNot given Not given
FoundedNot given Not given
Based inDE Not given
Pricing modelOpen source Open source
PricingFree. No paid tier, no subscription, no account required. Not given
Key features
  • Import STL, OBJ and 3MF files with textures
  • Automatic repair of holes, broken edges and flipped faces
  • Auto-orient with island counting and multi-plate support
  • Model hollowing with infill patterns and drain holes
  • Automatic supports sized by load with branching trunks
  • Adaptive layer slicing with anti-aliasing
  • Layer checking for islands, suction cups and thin walls
  • Export to 20+ printer file formats including SDCP and PrusaLink
  • Runs offline on Windows, macOS and Linux without internet connection
  • Layer-by-layer visualization before printing
  • 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
What makes it different
  • Checks every layer for problems before printing in the same time as slicing
  • Completely free and open source with no paid tier, subscription or account required
  • All files stay on the user's computer with no cloud, no tracking and no telemetry
  • Supports 102 printer profiles from 14 different manufacturers out of the box
  • Available on Windows, macOS and Linux with identical features and project compatibility
  • 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
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet −1 (down) since last check68 +1 (up) since last check
Trust Flow (Majestic)024
Citation Flow (Majestic)040
Referring domains (Majestic)02061

4 details filled in for both companies.

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