Search Results for "fortran"
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Showing 741 open source projects for "fortran"
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fpm
Fortran Package Manager (fpm)
fpm is a package manager and build system designed to improve the Fortran programming experience. It simplifies the process of building, testing, and distributing Fortran projects by providing a standardized project structure and dependency management. Modeled after Rust's Cargo, fpm aims to modernize Fortran development and foster a more vibrant ecosystem. -
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w64devkit
Portable C and C++ Development Kit for x64 (and x86) Windows
w64devkit is a portable development environment for building C, C++, and Fortran software on Windows. It packages MinGW-w64 GCC, GDB, GNU Make, CMake, Ninja, BusyBox, Vim, Ctags, Ccache, NSIS, and related utilities. The kit runs from an extracted directory without an installer, administrator privileges, or permanent system changes. It operates fully offline after download and favors static linking for included runtime components. -
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LFortran
Official main repository for LFortran
LFortran is a modern open-source (BSD licensed) interactive Fortran compiler built on top of LLVM. It can execute the user’s code interactively to allow exploratory work (much like Python, MATLAB or Julia) as well as compile binaries with the goal of running the user’s code on modern architectures such as multi-core CPUs and GPUs. LFortran is in alpha (it is expected to not work on third-party codes and users enthusiastically participate in bug reporting and fixing). -
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Yggdrasil
Collection of builder repositories for BinaryBuilder.jl
This repository contains recipes for building binaries for Julia packages using BinaryBuilder.jl. -
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Cosmos
Cosmos is an operating system "construction kit"
...Cosmos (C# Open Source Managed Operating System) is an operating system development kit that uses Visual Studio as its development environment. Despite C# in the name any .NET-based language can be used including VB.NET, Fortran, Delphi Prism, IronPython, F# and more. Cosmos itself and the kernel routines are primarily written in C#, and thus the Cosmos name. Cosmos is not an operating system in the traditional sense, but instead, it is an "Operating System Development Kit". Cosmos lets you create operating systems just as Visual Studio and C# normally let you create applications. ... -
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pmd
An extensible multilanguage static code analyzer
...It supports Java, JavaScript, Salesforce.com Apex and Visualforce, PLSQL, Apache Velocity, XML, and XSL. Additionally, it includes CPD, the copy-paste-detector. CPD finds duplicated code in Java, C, C++, C#, Groovy, PHP, Ruby, Fortran, JavaScript, PLSQL, Apache Velocity, Scala, Objective C, Matlab, Python, Go, Swift and Salesforce.com Apex, and Visualforce. It supports Java, JavaScript, Salesforce.com Apex and Visualforce, Modelica, PLSQL, Apache Velocity, XML, XSL, and Scala. Additionally, it includes CPD, the copy-paste-detector. CPD finds duplicated code in C/C++, C#, Dart, Fortran, Go, Groovy, Java, JavaScript, JSP, Kotlin, Lua, Matlab, Modelica, Objective-C, Perl, PHP, PLSQL, Python, Ruby, Salesforce.com Apex, Scala, Swift, Visualforce and XML. -
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OpenBLAS
Optimized BLAS library based on GotoBLAS2 1.13 BSD version
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version. The BLAS (Basic Linear Algebra Subprograms) are routines that provide standard building blocks for performing basic vector and matrix operations. The Level 1 BLAS performs scalar, vector and vector-vector operations, the Level 2 BLAS performs matrix-vector operations, and the Level 3 BLAS performs matrix-matrix operations. Because the BLAS are efficient, portable, and widely available, they are commonly used in the... -
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DifferentialEquations.jl
Multi-language suite for high-performance solvers of equations
...The well-optimized DifferentialEquations solvers benchmark as some of the fastest implementations, using classic algorithms and ones from recent research which routinely outperform the “standard” C/Fortran methods, and include algorithms optimized for high-precision and HPC applications. At the same time, it wraps the classic C/Fortran methods, making it easy to switch over to them whenever necessary. Solving differential equations with different methods from different languages and packages can be done by changing one line of code, allowing for easy benchmarking to ensure you are using the fastest method possible. -
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DL_POLY
General purpose classical molecular dynamics (MD) simulation software
DL_POLY is a general-purpose classical molecular dynamics simulation package developed at Daresbury Laboratory. It has evolved from older replicated-memory designs into a distributed-memory code suitable for modern parallel computing. The software can be built in serial form or with MPI for larger simulations. It is used for molecular modeling in chemistry, physics, materials science, and condensed-matter research. DL_POLY provides a mature simulation environment for studying atomic and... -
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R Source
Read-only mirror of R source code
...Developers, package authors, and curious users often browse this mirror to inspect implementation details, debug issues, or see how base functions are implemented in C or Fortran. -
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NumPy
The fundamental package for scientific computing with Python
...Distributed under a liberal BSD license, NumPy is developed and maintained publicly on GitHub by a vibrant, responsive, and diverse community. Nearly every scientist working in Python draws on the power of NumPy. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. -
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OrdinaryDiffEq.jl
High performance ordinary differential equation (ODE)
...The well-optimized DifferentialEquations solvers benchmark as some of the fastest implementations, using classic algorithms and ones from recent research that routinely outperform the “standard” C/Fortran methods, and include algorithms optimized for high-precision and HPC applications. At the same time, it wraps the classic C/Fortran methods, making it easy to switch over to them whenever necessary. Solving differential equations with different methods from different languages and packages can be done by changing one line of code, allowing for easy benchmarking to ensure you are using the fastest method possible. -
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The Julia Programming Language
High-level, high-performance dynamic language for technical computing
...Julia has more than 2,800 community-registered packages including various mathematical libraries, data manipulation tools, and packages for general purpose computing. Libraries from Python, R, C/Fortran, C++, and Java can also be used. -
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The Operator Splitting QP Solver
The Operator Splitting QP Solver
...It just works. OSQP has an easy interface to generate customized embeddable C code with no memory manager required. OSQP supports many interfaces including C/C++, Fortran, Matlab, Python, R, Julia, Rust. -
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webR
The statistical language R compiled to WebAssembly via Emscripten
webR is a project that compiles the R statistical programming language into WebAssembly, enabling it to run entirely within web browsers or JavaScript environments without requiring a server-side installation. By using Emscripten to adapt R’s C, C++, and Fortran codebase, webR creates a fully functional runtime that can execute R scripts directly in the browser. The project includes a web-based integrated development environment that uses tools like xterm.js and CodeMirror, allowing users to interact with R through a familiar console and editor interface. It supports installing and running R packages, making it possible to perform data analysis, statistical modeling, and visualization entirely client-side. webR also provides distribution options such as npm packages, CDN hosting, and Docker images for flexible deployment. ... -
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Numba
NumPy aware dynamic Python compiler using LLVM
...Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN. You don't need to replace the Python interpreter, run a separate compilation step, or even have a C/C++ compiler installed. Just apply one of the Numba decorators to your Python function, and Numba does the rest. Numba is designed to be used with NumPy arrays and functions. Numba generates specialized code for different array data types and layouts to optimize performance. ... -
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gdbgui
Browser-based frontend to gdb (gnu debugger)
Browser-based frontend to gdb (gnu debugger). Add breakpoints, view the stack, visualize data structures, and more in C, C++, Go, Rust, and Fortran. Run gdbgui from the terminal and a new tab will open in your browser. gdbgui is a browser-based frontend to gdb, the gnu debugger. You can add breakpoints, view stack traces, and more in C, C++, Go, and Rust! It's perfect for beginners and experts. Simply run gdbgui from the terminal to start the gdbgui server, and a new tab will open in your browser. gdbgui is used by thousands of developers around the world including engineers at Google and college computer science course instructions. ... -
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Code::Blocks
A free C, C++ and Fortran IDE
Code::Blocks is a free, open-source, cross-platform C, C++ and Fortran IDE built to meet the most demanding needs of its users. It is designed to be very extensible and fully configurable. Finally, an IDE with all the features you need, having a consistent look, feel and operation across platforms. Built around a plugin framework, Code::Blocks can be extended with plugins. Any kind of functionality can be added by installing/coding a plugin. -
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Spack
A flexible package manager that supports multiple versions
...It makes installing scientific software easy. Spack isn’t tied to a particular language; you can build a software stack in Python or R, link to libraries written in C, C++, or Fortran, and easily swap compilers or target specific microarchitectures. Spack offers a simple "spec" syntax that allows users to specify versions and configuration options. Package files are written in pure Python, and specs allow package authors to write a single script for many different builds of the same package. With Spack, you can build your software all the ways you want to. -
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findent
indent, beautify and relabel Fortran source, generates dependencies
Findent indents, beautifies and relabels Fortran source, fixed and free format, and converts Fortran fixed format to Fortran free format (and vice-versa). Plugins for vim, emacs and gedit are included. -
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The flibs project is a growing collection of (small) Fortran libraries and modules: from manipulating strings and pattern matching to abstract data types
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RMCProfile
Big box modeling for total scattering via the Reverse Monte Carlo
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libSUFR
A library containing Some Useful Fortran Routines
libSUFR contains Some Useful Fortran Routines that I wrote for my own use, but that may also be useful for others. At the moment, it also "SUFRs" from the fact that Fortran module files are compiler-dependent... -
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phexecute
Please see details at latest guide: PH_software_User_Guide&programming
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Seagull Programming Language
A modern programming language which compiles to Fortran.
Seagull is a modern and fast programming language which transpiles to Fortran. Seagull aims to provide a modern and intuitive ecosystem, tooling, and syntax on top of the Fortran backend, leveraging from its high numerical speed. Seagull is modular, and all functions are grouped into modules. Visit the official website for more information: https://seagull.ct.ws
