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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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

3LC
Codédex
Coiled
Conda
Cython
Dash
Flower
GitHub
MPI for Python (mpi4py)
MSYS2
PaizaCloud
Spyder
Train in Data
Unify AI
Visual Studio Code
Yamak.ai
Yandex Data Proc
h5py
imageio
scikit-learn

Integrations

3LC
Codédex
Coiled
Conda
Cython
Dash
Flower
GitHub
MPI for Python (mpi4py)
MSYS2
PaizaCloud
Spyder
Train in Data
Unify AI
Visual Studio Code
Yamak.ai
Yandex Data Proc
h5py
imageio
scikit-learn

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Fortran

Website

fpm.fortran-lang.org/en/index.html

Vendor Details

Company Name

NumPy

Website

numpy.org

Product Features

Product Features

Alternatives

Alternatives

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