pytransform3d VS TinyBaker

Compare pytransform3d vs TinyBaker and see what are their differences.

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pytransform3d TinyBaker
2 3
582 32
2.1% -
8.7 0.0
3 months ago about 3 years ago
Python Python
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pytransform3d

Posts with mentions or reviews of pytransform3d. We have used some of these posts to build our list of alternatives and similar projects.

TinyBaker

Posts with mentions or reviews of TinyBaker. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-29.

What are some alternatives?

When comparing pytransform3d and TinyBaker you can also consider the following projects:

meshio - :spider_web: input/output for many mesh formats

prysm - physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing...

itermplot - An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.

convtools - convtools is a specialized Python library for dynamic, declarative data transformations with automatic code generation

primify - Embed any image into a prime number.

difw - Expressive diffeomorphic transformations based on the closed-form integration of continuous piecewise affine velocity functions.

ndim - :books: Compute multidimensional volumes and monomial integrals.

netgraph - Publication-quality network visualisations in python

Nashpy - A python library for 2 player games.

yellowbrick - Visual analysis and diagnostic tools to facilitate machine learning model selection.