sapien
['SAPIEN: A SimulAted Parted based Interactive ENvironment']
Decision gist · record as of 2026-08-14
Yes, if you are developing robotic manipulation or vision systems and have access to a Linux GPU. SAPIEN is actively maintained, has no known vulnerabilities, uses permissive MIT licensing, and provides a mature physics simulation environment with a large dataset of articulated objects. The GPU requirement and Linux-only runtime are hard constraints; verify your hardware before installing. The medium install friction is typical for compiled simulation packages and is not a blocker for most research or production use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Linux with NVIDIA, AMD, or Intel GPU.
- On headless servers, system dependencies libegl1 and libxext6 are needed for offscreen rendering.
- Medium install friction due to compiled wheels and GPU requirement.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions, making it suitable for both research and production robotics projects.
last release 2026-03-10 (157 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 102,065 downloads/mo, #12,894 on PyPI
Alternatives
Verify before relying
pip install sapien
import sapien
from sapien.core import Scene
scene = Scene()
# Configure physics and rendering for your simulation- Whether the 9 runtime dependencies (numpy, requests, transforms3d, lxml, networkx, pyperclip, opencv-python, setuptools, importlib-resources) are all required for basic usage or only for specific features.
- Performance characteristics and scalability limits for large-scale simulations with many articulated objects.
- Compatibility and integration details with popular robot learning frameworks beyond ManiSkill.
What it is and what it does
SAPIEN is a GPU-accelerated physics simulator designed for robotic manipulation and vision research. It provides a large-scale dataset of articulated objects with part-level annotations, built on the ShapeNet and PartNet foundations as a collaborative effort between UCSD, Stanford, and SFU. The simulator uses PhysX 5 for physics and supports GPU-accelerated rendering via its SapienRenderer (formerly VulkanRenderer), including ray tracing and stereo depth sensor simulation.
Version 3.0 introduced a major refactor to an entity-component architecture, replacing the previous Actor-based API. The package is designed for tasks requiring detailed understanding of object parts and their interactions—typical use cases include training robotic grasping policies, simulating complex manipulation tasks, and generating synthetic training data for vision models. It supports both offscreen rendering on headless GPU servers and virtual desktop setups, making it suitable for large-scale distributed robot learning experiments.
Use it for
- Training robotic grasping and manipulation policies on articulated objects with part-level understanding.
- Generating synthetic training data for robotic vision models using GPU-accelerated rendering and ray tracing.
- Simulating complex multi-step manipulation tasks requiring detailed physics and collision handling.
- Running large-scale distributed robot learning experiments on GPU servers without display.
- Prototyping and validating robot control algorithms in a realistic physics environment before deployment.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are developing robotic manipulation or vision systems and have access to a Linux GPU.
SAPIEN is actively maintained, has no known vulnerabilities, uses permissive MIT licensing, and provides a mature physics simulation environment with a large dataset of articulated objects. The GPU requirement and Linux-only runtime are hard constraints; verify your hardware before installing. The medium install friction is typical for compiled simulation packages and is not a blocker for most research or production use.
Install
sapien on PyPI
Before you install
Medium install friction due to compiled wheels and GPU requirement. The package is actively maintained with recent release (157 days ago) and supports modern Python versions (3.8–3.14). Pre-built wheels available for macOS, Linux, and Windows, but Linux with NVIDIA, AMD, or Intel GPU is required to run.
Requires Linux with NVIDIA, AMD, or Intel GPU. On headless servers, system dependencies libegl1 and libxext6 are needed for offscreen rendering.
License in practice
MIT license permits commercial and private use with minimal restrictions, making it suitable for both research and production robotics projects.
Quickstart
pip install sapien
import sapien
from sapien.core import Scene
scene = Scene()
# Configure physics and rendering for your simulationVerify before relying
- Whether the 9 runtime dependencies (numpy, requests, transforms3d, lxml, networkx, pyperclip, opencv-python, setuptools, importlib-resources) are all required for basic usage or only for specific features.
- Performance characteristics and scalability limits for large-scale simulations with many articulated objects.
- Compatibility and integration details with popular robot learning frameworks beyond ManiSkill.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 9 packagesnumpyrequeststransforms3dlxmlnetworkxpyperclipopencv-pythonsetuptoolsimportlib-resources |
| Maintenance | Actively maintained 157 days since the last release |
| First released | |
| Downloads | 102,065 / month, #12,894 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Framework :: Robot Framework :: ToolIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Other AudienceIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishOperating System :: POSIX :: LinuxProgramming Language :: C++Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: EducationTopic :: Games/Entertainment :: SimulationTopic :: Software Development :: Libraries :: Python ModulesTopic :: Utilities |
Evidence: sapien-3.0.3-cp310-cp310-macosx_12_0_universal2.whl; sapien-3.0.3-cp310-cp310-manylinux_2_28_x86_64.whl; sapien-3.0.3-cp310-cp310-win_amd64.whl; sapien-3.0.3-cp311-cp311-macosx_12_0_universal2.whl; sapien-3.0.3-cp311-cp311-manylinux_2_28_x86_64.whl; sapien-3.0.3-cp311-cp311-win_amd64.whl; sapien-3.0.3-cp312-cp312-macosx_12_0_universal2.whl; sapien-3.0.3-cp312-cp312-manylinux_2_28_x86_64.whl; sapien-3.0.3-cp312-cp312-win_amd64.whl; sapien-3.0.3-cp313-cp313-macosx_12_0_universal2.whl; sapien-3.0.3-cp313-cp313-manylinux_2_28_x86_64.whl; sapien-3.0.3-cp313-cp313-win_amd64.whl; sapien-3.0.3-cp314-cp314-macosx_12_0_universal2.whl; sapien-3.0.3-cp314-cp314-manylinux_2_28_x86_64.whl; sapien-3.0.3-cp314-cp314-win_amd64.whl
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