Thermo_pw is a driver of quantum-ESPRESSO routines for the automatic computation of ab-initio material properties.
GitHub repository with 62 stars and 20 forks.
Language: Fortran
Topics: materials-science, density-functional-theory, quantum-espresso
Trending score 0.05, activity score 0.05, stars gained not enough history, forks gained not enough history.
2026-06-05: 62 stars and 20 forks.
Thermo_pw is a driver of quantum-ESPRESSO routines for the automatic computation of ab-initio material properties.
GitHub repository with 62 stars and 20 forks.
Trending score: 0.05.
Language: Fortran
Topics: materials-science, density-functional-theory, quantum-espresso
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
AI-driven workbench for computational materials science — interactive 3D structure viewer, natural-language CatBot assistant, visual DAG workflow engine, HPC job submission. Tauri desktop app with SvelteKit frontend and FastAPI Python backend. Drives VASP, ORCA, CP2K, QE, GPAW, DFTB+, SIESTA, LAMMPS.
GitHub repository with 96 stars and 11 forks.
Trending score: 0.51; stars gained: +2; forks gained: +0.
Language: TypeScript
Topics: ase, catalysis, computational-chemistry, cp2k, dft, hpc
A toolkit for visualizations in materials informatics.
GitHub repository with 314 stars and 39 forks.
Trending score: 0.48; stars gained: +1; forks gained: +0.
Language: Python
Topics: machine-learning, materials-informatics, data-visualization, uncertainty, uncertainty-calibration, plots
Interactive browser visualizations for materials science: crystal structures/molecules, trajectories, convex hulls, phase diagrams, Fermi surfaces, bands+DOS, Brillouin zones, etc.
GitHub repository with 340 stars and 34 forks.
Trending score: 0.42; stars gained: +1; forks gained: +0.
Language: TypeScript
Topics: chemistry, d3, data-viz, materials-science, plotting, svelte
Statistical Mechanics on Lattices
GitHub repository with 97 stars and 18 forks.
Trending score: 0.21; stars gained: +0; forks gained: +0.
Language: Python
Topics: cluster-expansion, materials-science, monte-carlo, statistical-mechanics, ising-model, lattice-gas
LLM-powered agents for scientific research automation
GitHub repository with 78 stars and 15 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: agentic-ai, agentic-framework, agentic-workflow, density-functional-theory, experiments, materials
🔍 Enhance code searches with ast-grep, finding patterns in your code structure for improved error handling and analysis.
GitHub repository with 5 stars and 0 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Topics: ai-scientist, anthropic, anthropic-claude, anthropic-skills, awesome, bioinformatics