Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
GitHub repository with 1,901 stars and 954 forks.
Language: Python
Topics: materials, materials-informatics, materials-science, python, science
Trending score 0.04, activity score 0.04, stars gained +0, forks gained +0.
2026-06-02: 1,901 stars and 954 forks.
Package containing several workflows to compute molecular properties for nanomaterials
GitHub repository with 12 stars and 11 forks.
Trending score: 0.18; stars gained: +0; forks gained: +0.
Language: Python
Topics: science, chemistry, physics, materials, quantum-chemistry, scientific-workflows
CALPHAD tools for designing thermodynamic models, calculating phase diagrams and investigating phase equilibria.
GitHub repository with 382 stars and 133 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: calphad, materials, materials-science, pycalphad, python, thermodynamics
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
GitHub repository with 1,901 stars and 954 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: materials, materials-informatics, materials-science, python, science
Fitting thermodynamic models with pycalphad - https://doi.org/10.1557/mrc.2019.59
GitHub repository with 84 stars and 39 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: calphad, thermodynamics, python, materials, materials-science, pycalphad
The agent that grows with you
GitHub repository with 182,513 stars and 31,295 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 14,053 stars and 885 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, compression, context-engineering, context-window
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,616 stars and 2,272 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
Learn it. Build it. Ship it for others.
GitHub repository with 28,711 stars and 4,695 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,435 stars and 28,046 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, collections, python, python-frameworks, python-libraries, python-tools
Use claude-code for free in the terminal, VSCode extension or discord like OpenClaw (voice supported)
GitHub repository with 32,540 stars and 4,942 forks.
Trending score: 4.56; stars gained: +467; forks gained: +82.
Language: Python
Package containing several workflows to compute molecular properties for nanomaterials
GitHub repository with 12 stars and 11 forks.
Trending score: 0.18; stars gained: +0; forks gained: +0.
Language: Python
Topics: science, chemistry, physics, materials, quantum-chemistry, scientific-workflows
CALPHAD tools for designing thermodynamic models, calculating phase diagrams and investigating phase equilibria.
GitHub repository with 382 stars and 133 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: calphad, materials, materials-science, pycalphad, python, thermodynamics
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
GitHub repository with 1,901 stars and 954 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: materials, materials-informatics, materials-science, python, science
Fitting thermodynamic models with pycalphad - https://doi.org/10.1557/mrc.2019.59
GitHub repository with 84 stars and 39 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: calphad, thermodynamics, python, materials, materials-science, pycalphad