Skip to main content

Simple Quaternions (squaternion)

Actions Status GitHub PyPI - Python Version PyPI PyPI - Downloads

Generally I don't need all of the capabilities (or complexity) of quaternion math libraries. Basically I just need a way to convert between Euler and Quaternion representations and have a nice way to print them out.

This has basically no imports outside of standard python 3.x libraries. It should be easier to get on embedded python systems without having to build numpy. Also, this tries to be fast by using a frozen dataclass available in python3.

Install

pip install squaternion   # pull from pypi
pip install -e .          # development

Usage

from squaternion import Quaternion

# if you know the values you want Quaternion(w, x, y, z), note this is a
# attr frozen class so it is immutable once created
q = Quaternion(1,0,0,0)

# multiplication for scalar (int, double) and with another quaternion
q = Quaternion(1,2,3,4)
q*q => Quaternion(w=-28, x=4, y=6, z=8)
3*q => Quaternion(w=3, x=6, y=9, z=12)
q*3.0 => Quaternion(w=3.0, x=6.0, y=9.0, z=12.0)

# Addition and subtraction
q = Quaternion(1,2,3,4)
q+q => Quaternion(w=2, x=4, y=6, z=8)

# numpy can do some things, but it will change the tuple to an array, so you might
# need to transform it back to a quaternion
q = Quaternion(1,2,3,4)
np.dot(q,q) => 30
np.sqrt(np.dot(q,q)) => 5.477225575051661
q/np.sqrt(np.dot(q,q)) => array([0.18257419, 0.36514837, 0.54772256, 0.73029674])
Quaternion(*(q/np.sqrt(np.dot(q,q)))) => Quaternion(w=0.18257418583505536, x=0.3651483716701107, y=0.5477225575051661, z=0.7302967433402214)

# however you typically don't think in 4 dimensions, so create from
# euler angles from_eluer(roll, pitch, yaw), default is radians, but set
# degrees true if giving degrees
q = Quaternion.from_euler(0, -90, 100, degrees=True)

# can get the euler angles back out in degrees (set to True)
e = q.to_euler(degrees=True)
d = q.to_dict()
t = q.to_tuple()
r = q.to_rot() # returns a rotation matrix as tuple
r = np.array( q.to_rot() ) # rotation matrix as numpy array

# iterate through values
for i in q:
    print(f"{i}")

# indexing like a namedtuple
z = q[3]
z = q[-1]
v = q[-3:]
w = q[0]

# class properties
v = q.vector     # returns a tuple (x,y,z)
s = q.scalar     # returns a double (w)
n = q.normalize  # returns unit quaternion
m = q.magnitude  # returns the magnitude of the quaternion
a = q.angle      # returns angle of rotation in radians
a = q.axis       # returns axis of rotation

# useful attr functions
q == q    # compare will return True
q != q    # will return False

w = q.w
x = q.x
y = q.y
z = q.z

print(q)  # pretty print => Quaternion(w,x,y,z)
print(f"{q:.4f}") # print only 4 decimal places

Alternatives

This is a basic library that converts between Euler angles and Quaternions. There are other libraries that do so much more listed below ... but I don't need all of that.

References

MIT License

Copyright (c) 2014 Kevin Walchko

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Metadata

Release files for squaternion 2026.11.10

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

Source distribution (sdist)

Source distribution for squaternion 2026.11.10
File Size Uploaded Provenance Actions
squaternion-2026.11.10.tar.gz 8.6 kB Without provenance Details for squaternion-2026.11.10.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for squaternion 2026.11.10
File Interpreter ABI Platform Actions
squaternion-2026.11.10-py3-none-any.whl Python 3 none any Details for squaternion-2026.11.10-py3-none-any.whl

Total release size: 16.5 kB

Release files / squaternion-2026.11.10.tar.gz

Download URL squaternion-2026.11.10.tar.gz
Size 8.6 kB
Tags Source
SHA-256 checksum
How to use checksums
6ec71a25d07bcfd6eb752a41336084787a65c54a4a97fdf30641fd657295194a
BLAKE2b-256 checksum
How to use checksums
24c70ac98309964e306dea99ee17e2db639cc2c487fa96608d0c8f3544a4b0e3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.15.0

Release files / squaternion-2026.11.10-py3-none-any.whl

Download URL squaternion-2026.11.10-py3-none-any.whl
Size 7.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
fd8a0be369dbcac8c29187ec574dc9c7b57567141adf4bc0e46c74bb5cfd4e81
BLAKE2b-256 checksum
How to use checksums
0da92d5ef7f79c3c847671dae0cfd05333255c198a3156c2a0b6f7b9e35471c2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.15.0

Security for squaternion 2026.11.10

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.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page