silverbullet

shallow but powerful wrapper around pybullet

Installation

pip install silverbullet

Usage

from silverbullet import Scene, Robot

# GUI mode
# from silverbullet import Connection, Mode
# conn = Connection(mode=Mode.GUI)
# scene = Scene(timestep=0.01, frame_skip=4, connection=conn)

scene = Scene(timestep=0.01, frame_skip=4)
robot = Robot.load_urdf(scene, "robot.urdf")
robot.bring_on_the_ground()

while True:

  # You can control and observe the robot
  # e.g. robot.set_joint_torque('joint1', 1)

  do_something(robot)

  # This will step simulation
  scene.step()

Metadata

Release files for silverbullet 0.3.0

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

Source distribution (sdist)

Source distribution for silverbullet 0.3.0
File	Size	Uploaded	Provenance
silverbullet-0.3.0.tar.gz	6.2 kB	Feb 3, 2019	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for silverbullet 0.3.0
File	Interpreter	ABI	Platform	Reset
silverbullet-0.3.0-py3-none-any.whl 18.3 kB Feb 3, 2019 Without provenance	Python 3	none	any	Details

Total release size: 24.4 kB

Release files / silverbullet-0.3.0.tar.gz

Download URL	silverbullet-0.3.0.tar.gz
Size	6.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`2d02acad0cb99620c08839ed42b6c14f49277379d1a67d8365348572f2bb5936`
BLAKE2b-256 checksum How to use checksums	`fc1482f3cbfdd73b5834350cff2b368ac224c7d4dd0b39d0d3deab2627f82650`
Upload date	Feb 3, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/0.12.11 CPython/3.7.1 Linux/4.15.0-1026-gcp`

Release files / silverbullet-0.3.0-py3-none-any.whl

Download URL	silverbullet-0.3.0-py3-none-any.whl
Size	18.3 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`f3d31a618d613c91da964b5b07594ff5ecb854b09f92227ac260d3de24c2f295`
BLAKE2b-256 checksum How to use checksums	`b89ca4e96a85aaa35c9b20a92244cb3543a2f3f1eb864249488298369dc663e4`
Upload date	Feb 3, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/0.12.11 CPython/3.7.1 Linux/4.15.0-1026-gcp`

Security for silverbullet 0.3.0

Report project as malware

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.