Thermodynamic Equations of State, Fortran library with both automatic and anallytical derivation capabilities
GitHub repository with 38 stars and 7 forks.
Language: Fortran
Topics: automatic-differentiation, equation-of-state, fortran, fortran-package-manager, nrtl, peng-robinson, rkpr, soaveredlichkwong, thermodynamics, unifac
2026-06-05: 38 stars and 7 forks.
OpenRadioss is a powerful, industry-proven finite element solver for dynamic event analysis
GitHub repository with 809 stars and 382 forks.
Trending score: 0.58; stars gained: +2; forks gained: +1.
Language: Fortran
Topics: explicit-dynamics, fea, fsi, fem, finite-elements
Official git repository of Elmer FEM software
GitHub repository with 1,589 stars and 384 forks.
Trending score: 0.53; stars gained: +2; forks gained: +1.
Language: Fortran
Topics: acoustics, electromagnetics, elmergrid, elmergui, elmerice, elmersolver
Quantum chemistry and solid state physics software package
GitHub repository with 1,122 stars and 472 forks.
Trending score: 0.30; stars gained: +0; forks gained: +0.
Language: Fortran
Topics: quantum-chemistry, simulation, hpc, material-science
The NCEPLIBS-bufr library contains routines and utilites for working with the WMO BUFR format.
GitHub repository with 62 stars and 27 forks.
Trending score: 0.26; stars gained: +0; forks gained: +0.
Language: Fortran
Topics: bufr
Official GitHub repository for netCDF-Fortran libraries, which depend on the netCDF C library. Install the netCDF C library first.
GitHub repository with 270 stars and 105 forks.
Trending score: 0.24; stars gained: +0; forks gained: +0.
Language: Fortran
Topics: netcdf-fortran, unidata, netcdf-library, dataset, hacktoberfest
AOMP is an open source Clang/LLVM based compiler with added support for the OpenMP® API on Radeon™ GPUs. Use this repository for releases, issues, documentation, packaging, and examples.
GitHub repository with 244 stars and 61 forks.
Trending score: 0.22; stars gained: +0; forks gained: +0.
Language: Fortran
Topics: amd, llvm, clang, openmp, rocm, fortran-compiler
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
GitHub repository with 3,246 stars and 808 forks.
Trending score: 0.60; stars gained: +3; forks gained: +14.
Language: Python
Topics: quantum, machine-learning, deep-learning, neural-network, optimization, quantum-computing
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
GitHub repository with 665 stars and 238 forks.
Trending score: 0.22; stars gained: +0; forks gained: +1.
Language: Python
Topics: quantum-machine-learning, qml, demo, tutorials, key-concepts, quantum-computing
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
GitHub repository with 825 stars and 100 forks.
Trending score: 0.14; stars gained: +0; forks gained: +1.
Language: Julia
Topics: optimization, local-optimization, global-optimization, automatic-differentiation, algorithmic-differentiation, sciml
Clean-room Rust reimplementation of JAX transform semantics (jit, grad, vmap) with canonical JAXPR-like IR, Trace Transform Ledger, deterministic cache keys, and differential conformance harness
GitHub repository with 8 stars and 2 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Rust
Topics: automatic-differentiation, clean-room, compiler, differential-testing, intermediate-representation, jax
Repository for automatic differentiation backend types
GitHub repository with 65 stars and 17 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Julia
Topics: autodiff, automatic-differentiation, julia
Automatic differentiation in C++; infinite differentiability of conditionals, loops, recursion and all things C++
GitHub repository with 151 stars and 27 forks.
Trending score: 0.00.
Language: C++
Topics: automatic-differentiation, differentiable-computing, machine-learning