pytransform3d
pytransform3d: 3D Transformations for Python - Published in JOSS (2019)
Science Score: 77.0%
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✓CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
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✓DOI references
Found 12 DOI reference(s) in README -
✓Academic publication links
Links to: joss.theoj.org, zenodo.org -
✓Committers with academic emails
3 of 27 committers (11.1%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.9%) to scientific vocabulary
Keywords
Scientific Fields
Repository
3D transformations for Python.
Basic Info
- Host: GitHub
- Owner: dfki-ric
- License: other
- Language: Python
- Default Branch: main
- Homepage: https://dfki-ric.github.io/pytransform3d/
- Size: 318 MB
Statistics
- Stars: 681
- Watchers: 9
- Forks: 71
- Open Issues: 4
- Releases: 45
Topics
Metadata Files
README.md

pytransform3d
A Python library for transformations in three dimensions.
pytransform3d offers...
- operations like concatenation and inversion for most common representations of rotation (orientation) and translation (position)
- conversions between those representations
- clear documentation of transformation conventions
- tight coupling with matplotlib to quickly visualize (or animate) transformations
- the TransformManager which manages complex chains of transformations (with export to graph visualization as PNG, additionally requires pydot)
- the TransformEditor which allows to modify transformations graphically (additionally requires PyQt4/5)
- the UrdfTransformManager which is able to load transformations from URDF files (additionally requires lxml)
- a matplotlib-like interface to Open3D's visualizer to display and animate geometries and transformations (additionally requires Open3D)
pytransform3d is used in various domains, for example:
- specifying motions of a robot
- learning robot movements from human demonstration
- sensor fusion for human pose estimation
- collision detection for robots
The API documentation can be found here.
I gave a talk at EuroSciPy 2023 about pytransform3d. Slides are available here.
If you need similar features in JAX (on GPU, vectorized, differentiable), have a look at the experimental library jaxtransform3d.
Installation
Use pip to install the package from PyPI:
bash
pip install 'pytransform3d[all]'
or conda:
bash
conda install -c conda-forge pytransform3d
Take a look at the installation instructions in the documentation for more details.
Gallery
The following plots and visualizations have been generated with pytransform3d. The code for most examples can be found in the documentation.
Left: Nao robot with URDF from Bullet3. Right: Kuka iiwa. The animation is based on pytransform3d's visualization interface to Open3D.



Visualizations based on Open3D.


Various plots based on Matplotlib.








Transformation editor based on Qt.

Example
This is just one simple example. You can find more examples in the subfolder
examples/.
```python import numpy as np import matplotlib.pyplot as plt from pytransform3d import rotations as pr from pytransform3d import transformations as pt from pytransform3d.transform_manager import TransformManager
rng = np.random.default_rng(0)
ee2robot = pt.transformfrompq( np.hstack((np.array([0.4, -0.3, 0.5]), pr.randomquaternion(rng)))) cam2robot = pt.transformfrompq( np.hstack((np.array([0.0, 0.0, 0.8]), pr.qid))) object2cam = pt.transformfrom( pr.activematrixfromintrinsiceulerxyz(np.array([0.0, 0.0, -0.5])), np.array([0.5, 0.1, 0.1]))
tm = TransformManager() tm.addtransform("end-effector", "robot", ee2robot) tm.addtransform("camera", "robot", cam2robot) tm.add_transform("object", "camera", object2cam)
ee2object = tm.get_transform("end-effector", "object")
ax = tm.plotframesin("robot", s=0.1) ax.setxlim((-0.25, 0.75)) ax.setylim((-0.5, 0.5)) ax.set_zlim((0.0, 1.0)) plt.show() ```

Documentation
The API documentation can be found here.
The documentation can be found in the directory doc.
To build the documentation, run e.g. (on linux):
bash
cd doc
make html
The HTML documentation is now located at doc/build/html/index.html.
Execute the following command in the main folder of the repository
to install the dependencies:
bash
pip install -e '.[doc]'
Tests
You can use pytest to run the tests of this project in the root directory:
bash
pytest
A coverage report will be located at htmlcov/index.html.
Note that you have to install pytest to run the tests and pytest-cov to
obtain the code coverage report.
Contributing
If you wish to report bugs, please use the issue tracker at Github. If you would like to contribute to pytransform3d, just open an issue or a pull request. The target branch for pull requests is the develop branch. The development branch will be merged to main for new releases. If you have questions about the software, you should ask them in the discussion section.
The recommended workflow to add a new feature, add documentation, or fix a bug is the following:
- Push your changes to a branch (e.g.
feature/x,doc/y, orfix/z) of your fork of the pytransform3d repository. - Open a pull request to the latest development branch. There is usually an open merge request from the latest development branch to the main branch.
- When the latest development branch is merged to the main branch, a new release will be made.
Note that there is a checklist for new features.
It is forbidden to directly push to the main branch. Each new version has its own development branch from which a pull request will be opened to the main branch. Only the maintainer of the software is allowed to merge a development branch to the main branch.
License
The library is distributed under the 3-Clause BSD license.
Citation
If you use pytransform3d for a scientific publication, I would appreciate citation of the following paper:
Fabisch, A. (2019). pytransform3d: 3D Transformations for Python.
Journal of Open Source Software, 4(33), 1159,
Bibtex entry:
bibtex
@article{Fabisch2019,
doi = {10.21105/joss.01159},
url = {https://doi.org/10.21105/joss.01159},
year = {2019},
publisher = {The Open Journal},
volume = {4},
number = {33},
pages = {1159},
author = {Alexander Fabisch},
title = {pytransform3d: 3D Transformations for Python},
journal = {Journal of Open Source Software}
}
Owner
- Name: DFKI GmbH, Robotics Innovation Center
- Login: dfki-ric
- Kind: organization
- Location: Bremen
- Website: https://robotik.dfki-bremen.de/en/
- Twitter: DFKI
- Repositories: 44
- Profile: https://github.com/dfki-ric
Research group at the German Research Center for Artificial Intelligence GmbH.
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Fabisch
given-names: Alexander
title: "pytransform3d"
url: https://github.com/dfki-ric/pytransform3d
doi: 10.5281/zenodo.2553450
preferred-citation:
type: article
authors:
- family-names: Fabisch
given-names: Alexander
orcid: https://orcid.org/0000-0003-2824-7956
title: "pytransform3d: 3D Transformations for Python"
doi: 10.21105/joss.01159
journal: Journal of Open Source Software
start: 1159
issue: 33
volume: 4
month: 1
year: 2019
GitHub Events
Total
- Create event: 26
- Issues event: 35
- Release event: 9
- Watch event: 50
- Delete event: 25
- Issue comment event: 76
- Push event: 174
- Gollum event: 6
- Pull request review comment event: 127
- Pull request review event: 129
- Pull request event: 65
- Fork event: 6
Last Year
- Create event: 26
- Issues event: 35
- Release event: 9
- Watch event: 50
- Delete event: 25
- Issue comment event: 76
- Push event: 174
- Gollum event: 6
- Pull request review comment event: 127
- Pull request review event: 129
- Pull request event: 65
- Fork event: 6
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Alexander Fabisch | a****h@g****m | 2,009 |
| Marat Kopytjuk | k****k@g****m | 61 |
| Jonas Hablitzel | J****l@g****e | 10 |
| SuperSocialForce | g****g@g****m | 7 |
| Daniel Morton | d****n@g****m | 6 |
| David Wendorff | 4****i | 5 |
| Alex McClung | a****g@h****m | 4 |
| Albert Tung | t****9@g****m | 3 |
| Robert Kampf | R****f@g****e | 3 |
| barts | b****a@o****m | 3 |
| teunhoevenaars | t****s@g****m | 3 |
| Aleks | a****c@g****m | 2 |
| Alex | 5****5 | 2 |
| Christoph Petzoldt | c****t@d****e | 2 |
| Erik Holmlund | e****d@h****m | 2 |
| Jiayuan-Gu | j****u@e****u | 2 |
| Kyle Chen | l****3@g****m | 2 |
| Teun Hoevenaars | t****s@v****m | 1 |
| Arne Böckmann | a****e@t****e | 1 |
| Alexander Fabisch | a****h@A****e | 1 |
| Liu Zhen | l****v@o****m | 1 |
| Mateus | m****i@g****t | 1 |
| Mitchell Allain | a****h@g****m | 1 |
| Shimon Wang | 3****2@q****m | 1 |
| chinaheyu | 8****2@q****m | 1 |
| u25g31 | j****l@a****m | 1 |
| vincentme | 1****e | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 83
- Total pull requests: 136
- Average time to close issues: 3 months
- Average time to close pull requests: about 1 month
- Total issue authors: 37
- Total pull request authors: 22
- Average comments per issue: 1.88
- Average comments per pull request: 1.38
- Merged pull requests: 117
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 26
- Pull requests: 60
- Average time to close issues: 17 days
- Average time to close pull requests: 13 days
- Issue authors: 8
- Pull request authors: 10
- Average comments per issue: 1.65
- Average comments per pull request: 0.98
- Merged pull requests: 50
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- AlexanderFabisch (44)
- Mechazo11 (2)
- stanleyshly (2)
- romainVala (1)
- ljmanso (1)
- maheshkkumar (1)
- ekmungi (1)
- scottshambaugh (1)
- dennisushi (1)
- ozgur-kurt (1)
- HernandoR (1)
- vincentme (1)
- mitchallain (1)
- ShimonWang (1)
- perkomvik (1)
Pull Request Authors
- AlexanderFabisch (117)
- kopytjuk (8)
- ShimonWang (5)
- JonasHablitzel (2)
- savidini (2)
- vincentme (2)
- clungzta (2)
- SuperSocialForce (2)
- danielpmorton (2)
- yzqin (2)
- mitchallain (1)
- ljmanso (1)
- Jiayuan-Gu (1)
- HernandoR (1)
- luckykk273 (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
-
Total downloads:
- pypi 95,903 last-month
- Total docker downloads: 474
-
Total dependent packages: 9
(may contain duplicates) -
Total dependent repositories: 29
(may contain duplicates) - Total versions: 52
- Total maintainers: 3
pypi.org: pytransform3d
3D transformations for Python
- Homepage: https://github.com/dfki-ric/pytransform3d
- Documentation: https://pytransform3d.readthedocs.io/
- License: BSD-3-Clause
-
Latest release: 3.14.2
published 6 months ago
Rankings
Maintainers (3)
conda-forge.org: pytransform3d
- Homepage: https://github.com/dfki-ric/pytransform3d
- License: BSD-3-Clause
-
Latest release: 2.0.0
published over 3 years ago
Rankings
Dependencies
- beautifulsoup4 *
- lxml *
- matplotlib *
- numpy *
- open3d *
- pydot *
- scipy *
- trimesh *
- beautifulsoup4 *
- numpy *
- actions/checkout v2 composite
- actions/setup-python v2 composite
- codecov/codecov-action v1.3.2 composite