vuer · PyPI

Pre-release

This release is a pre-release and may not be stable for production use.

Vuer: Modern High-Performance Visualization for AI & Robotics in VR

pip install vuer ⬝ visit https://docs.vuer.ai for documentation

Vuer is a light-weight visualization toolkit for interacting with dynamic 3D and robotics data. It is VR and AR ready, and can be run on mobile devices.

Our features include:

light-weight and performant
VR and AR ready
Hackable and extensible
Open source, licensed under MIT

Installation

You can install vuer with pip:

pip install -U 'vuer[all]'

Here is an example that loads a URDF file and displays it in the browser. For a more comprehensive list of examples, please refer to the examples page.

from vuer import Vuer, VuerSession
from vuer.schemas import DefaultScene, Urdf

app = Vuer()


@app.spawn(start=True)
async def main(session: VuerSession):
    app.set @ DefaultScene(
        Urdf("assets/urdf/robotiq.urdf"),
    )

    while True:
        await session.sleep(0.1)

To get a quick overview of what you can do with vuer, check out the following:

take a look at the example gallery here
or try to take a look at this demo with a Unitree Go1 robot in front of a flight of stairs here

For a comprehensive list of visualization components, please refer to the API documentation on Components.

For a comprehensive list of data types, please refer to the API documentation on Data Types.

Now, to run the examples, first download the example datasets.

Each subdirectory in the assets directory contains a Makefile. Run the make command in each subdirectory to download the datasets. For example:

cd assets/static_3d
make

Then run the examples

cd vuer/examples/vuer
python 01_trimesh.py

Contributing to Documentation and Features

Documentation is a crucial part of the vuer ecosystem. To contribute to documentation and usage examples, simply:

pip install -e '.[all]'
make docs

This should fire up an http server at the port 8888, and you can view the documentation at http://localhost:8888.

To Cite

@software{vuer,
  author = {Ge Yang},
  title = {{VUER}: A 3D Visualization and Data Collection Environment for Robot Learning},
  version = {},
  publisher = {GitHub},
  url = {https://github.com/vuer-ai/vuer},
  year = {2024}
}

About Us

Vuer is built by researchers at MIT and UCSD in fields including robotics, computer vision, and computer graphics.

Release files for vuer 0.0.42rc6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for vuer 0.0.42rc6
File	Interpreter	ABI	Platform	Reset
vuer-0.0.42rc6-py3-none-any.whl 59.6 MB Jan 25, 2025	Python 3	none	any	Details

Release files / vuer-0.0.42rc6-py3-none-any.whl

Download URL	vuer-0.0.42rc6-py3-none-any.whl
Size	59.6 MB
Tags	Python 3
SHA-256 checksum How to use checksums	`6b2236f92b45379fb64a783fd7e43d0ba578e9892065d0bec4ad2d6a25dfc03c`
BLAKE2b-256 checksum How to use checksums	`d7659ef4427400d594f2827f2352b51f9cbabb0ad420e828acdd2cfd52b69ea9`
Upload date	Jan 25, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.0 CPython/3.8.17`