01
Browser
Best for interactive tools, offline explorers, and analysis that should stay in the browser.
npm install @kent-tokyo/chematicTry the browser playground · 詳細ページChoose the environment that fits your workflow. The same chemistry core can move from a quick browser experiment to a local Python or Rust application.
Try molecular analysis locally in a browser with no server round trip.
Open the browser guide 02Use notebooks, pandas workflows, and batch analysis from PyPI.
Open the Python guide 03Build native services, command-line tools, and embedded chemistry workflows.
Open the Rust guide 04Give a local AI client structured chemistry tools through chematic-mcp.
Open the AI agents guide01
Best for interactive tools, offline explorers, and analysis that should stay in the browser.
npm install @kent-tokyo/chematicTry the browser playground · 詳細ページ02
Best for notebooks, DataFrames, and batch jobs over structure files.
pip install chematicOpen the quickstart notebook · 詳細ページ03
Best for native applications and services where the chemistry logic belongs in the same process.
cargo add chematic --features "smiles,perception,chem,3d,fp"Read the Rust API reference · 詳細ページ04
Best when an AI client needs typed chemistry operations on a local machine.
cargo run -p chematic-mcp --releaseRead the MCP guide · 詳細ページNot sure where to start?
Use the browser playground for a quick first look. Choose Python for notebooks and data work, Rust for an application or service, and AI agents when a local assistant needs chemistry tools.