fdtd VS PyDy

Compare fdtd vs PyDy and see what are their differences.

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fdtd PyDy
1 1
416 346
- 0.6%
6.5 3.9
3 months ago about 1 year ago
Python Python
MIT License LICENSE.txt
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.

fdtd

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

We haven't tracked posts mentioning fdtd yet.
Tracking mentions began in Dec 2020.

PyDy

Posts with mentions or reviews of PyDy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-07.

What are some alternatives?

When comparing fdtd and PyDy you can also consider the following projects:

SymPy - A computer algebra system written in pure Python

Biopython - Official git repository for Biopython (originally converted from CVS)

astropy - Astronomy and astrophysics core library

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Numba - NumPy aware dynamic Python compiler using LLVM

SciPy - SciPy library main repository

NIPY - Workflows and interfaces for neuroimaging packages

NumPy - The fundamental package for scientific computing with Python.

simupy - A framework for modeling and simulating dynamical systems

bcbio-nextgen - Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis

blaze - NumPy and Pandas interface to Big Data

Dask - Parallel computing with task scheduling