Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Fortran Package Manager (fpm) serves as both a package manager and a build system specifically designed for Fortran. It boasts a wide array of available packages, contributing to a vibrant ecosystem of both general-purpose and high-performance code, enhancing accessibility for users. Aimed at improving the overall experience for Fortran developers, fpm simplifies the process of building Fortran programs or libraries, executing tests, running examples, and managing dependencies for other Fortran projects. Its design draws inspiration from Rust’s Cargo, creating an intuitive user interface. Additionally, fpm has a long-term vision focused on fostering the growth of modern Fortran applications and libraries. One notable feature of fpm is its plugin system, which facilitates the extension of its capabilities. Among these plugins is the fpm-search project, which enables users to query the package registry effortlessly, and because it is built with fpm, installation on any system is straightforward. This synergy not only streamlines the development process but also encourages collaboration among developers within the Fortran community.
Description
Fast and adaptable, the concepts of vectorization, indexing, and broadcasting in NumPy have become the benchmark for array computation in the present day. This powerful library provides an extensive array of mathematical functions, random number generators, linear algebra capabilities, Fourier transforms, and beyond. NumPy is compatible with a diverse array of hardware and computing environments, seamlessly integrating with distributed systems, GPU libraries, and sparse array frameworks. At its core, NumPy is built upon highly optimized C code, which allows users to experience the speed associated with compiled languages while enjoying the flexibility inherent to Python. The high-level syntax of NumPy makes it user-friendly and efficient for programmers across various backgrounds and skill levels. By combining the computational efficiency of languages like C and Fortran with the accessibility of Python, NumPy simplifies complex tasks, resulting in clear and elegant solutions. Ultimately, this library empowers users to tackle a wide range of numerical problems with confidence and ease.
API Access
Has API
No
API Access
Has API
Yes
Integrations
3LC
No
Arch Linux
Yes
Codédex
No
Conda
Yes
Cython
No
Gensim
No
GitHub
Yes
JAX
No
MPI for Python (mpi4py)
No
MSYS2
Yes
Integrations
3LC
Yes
Arch Linux
No
Codédex
Yes
Conda
No
Cython
Yes
Gensim
Yes
GitHub
No
JAX
Yes
MPI for Python (mpi4py)
Yes
MSYS2
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Fortran
Website
fpm.fortran-lang.org/en/index.html
Vendor Details
Company Name
NumPy
Website
numpy.org