icrystal VS diffeqpy

Compare icrystal vs diffeqpy and see what are their differences.

icrystal

Jupyter kernel for the Crystal language (by RomainFranceschini)
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icrystal diffeqpy
1 1
22 341
- 4.1%
1.4 1.1
4 months ago 12 days ago
Crystal Python
MIT License 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.

icrystal

Posts with mentions or reviews of icrystal. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-20.

diffeqpy

Posts with mentions or reviews of diffeqpy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-20.
  • Julia vs R/Python
    5 projects | reddit.com/r/datascience | 20 Mar 2021
    10-100x speed increase was not an exaggeration for me. With julia I was able to run things quickly on my own machine which I had been running on a compute cluster. I agree that numba could be just as fast as julia. I also just saw that you can run that DE library from julia that I like so much from python using this package. https://github.com/SciML/diffeqpy

What are some alternatives?

When comparing icrystal and diffeqpy you can also consider the following projects:

DiffEqBase.jl - The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

csvzip - A standalone CLI tool to reduce CSVs size by converting categorical columns in a list of unique integers.

DifferentialEquations.jl - Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components