Metadata-Version: 2.1
Name: mani_skill
Version: 3.0.0.dev11
Summary: ManiSkill3: A Unified Benchmark for Generalizable Manipulation Skills
Home-page: https://github.com/haosulab/ManiSkill2
Author: ManiSkill contributors
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.22
Requires-Dist: scipy
Requires-Dist: dacite
Requires-Dist: gymnasium==0.29.1
Requires-Dist: sapien==3.0.0.dev2
Requires-Dist: h5py
Requires-Dist: pyyaml
Requires-Dist: tqdm
Requires-Dist: GitPython
Requires-Dist: tabulate
Requires-Dist: transforms3d
Requires-Dist: trimesh
Requires-Dist: rtree
Requires-Dist: opencv-python
Requires-Dist: imageio
Requires-Dist: imageio[ffmpeg]
Requires-Dist: mplib>=0.1.1
Requires-Dist: fast_kinematics
Requires-Dist: huggingface_hub
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: black; extra == "dev"
Requires-Dist: isort; extra == "dev"
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: build; extra == "dev"
Requires-Dist: twine; extra == "dev"
Requires-Dist: stable_baselines3; extra == "dev"
Provides-Extra: docs
Requires-Dist: sphinx==6.2.1; extra == "docs"
Requires-Dist: sphinx-autobuild; extra == "docs"
Requires-Dist: pydata_sphinx_theme; extra == "docs"
Requires-Dist: sphinxcontrib.spelling; extra == "docs"
Requires-Dist: sphinx-autodoc-typehints; extra == "docs"
Requires-Dist: sphinx_copybutton; extra == "docs"
Requires-Dist: myst-parser; extra == "docs"
Requires-Dist: sphinx-subfigure; extra == "docs"
Requires-Dist: sphinxcontrib-video; extra == "docs"
Requires-Dist: sphinx-togglebutton; extra == "docs"
Requires-Dist: sphinx_design; extra == "docs"

ManiSkill is a powerful unified framework for robot simulation and training powered by [SAPIEN](https://sapien.ucsd.edu/). The entire stack is as open-source as possible. Among its features, it includes
- GPU parallelized visual data collection system. A policy can collect RGBD + Segmentation data at about 10,000+ FPS with 1 GPU, 10-100x faster than any other simulator
- Example tasks covering a wide range of different robot embodiments (quadruped, mobile manipulators, single-arm robots) as well as a wide range of different tasks (table-top, locomotion, scene-level manipulation)
- GPU parallelized tasks, enabling incredibly fast synthetic data collection in simulation at the same or faster speed as other GPU sims like IsaacSim
- GPU parallelized tasks support simulating diverse scenes where every parallel environment has a completely different scene/set of objects
- Flexible task building API
Please refer our [documentation](https://maniskill.readthedocs.io/en/dev) to learn more information.
