ndim VS pytransform3d

Compare ndim vs pytransform3d and see what are their differences.

ndim

:books: Compute multidimensional volumes and monomial integrals. (by sigma-py)
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ndim pytransform3d
1 2
19 580
- 1.7%
3.0 8.7
3 months ago 2 months ago
Python Python
GNU General Public License v3.0 only GNU General Public License v3.0 or later
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.

ndim

Posts with mentions or reviews of ndim. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-11.

pytransform3d

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

What are some alternatives?

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

mathgenerator - A math problem generator, created for the purpose of giving self-studying students and teaching organizations the means to easily get access to high-quality, generated math problems to suit their needs.

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

LaTeX-examples - Examples for the usage of LaTeX

TinyBaker - Composable, first-order file-to-file transformations in Python

primify - Embed any image into a prime number.

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

purple-pi - :purple_heart: LaTeX math wherever you want

netgraph - Publication-quality network visualisations in python

Nashpy - A python library for 2 player games.

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

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