FURY VS fortran2018-examples

Compare FURY vs fortran2018-examples and see what are their differences.

FURY

Fortran Units (environment) for Reliable phYsical math (by szaghi)

fortran2018-examples

Fortran 2018 standard examples with broad applications (by scivision)
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FURY fortran2018-examples
1 1
31 377
- -
1.1 6.6
about 1 year ago about 2 months ago
Fortran Fortran
- 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.

FURY

Posts with mentions or reviews of FURY. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-11.

fortran2018-examples

Posts with mentions or reviews of fortran2018-examples. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing FURY and fortran2018-examples you can also consider the following projects:

FLAP - Fortran command Line Arguments Parser for poor people

Fortran-MOOC - Material related to the PRACE MOOC on Fortran programming

quaff

MOM6 - Modular Ocean Model

stdlib - Fortran Standard Library

Fortran-with-ChatGPT - Questions about Fortran answered by ChatGPT-4, reviewed by a human

WRF - The official repository for the Weather Research and Forecasting (WRF) model

fastGPT - Fast GPT-2 inference written in Fortran

fpm - Fortran Package Manager (fpm)

FortranTip - Short instructional Fortran codes associated with Twitter @FortranTip

FastGPT - FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.