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🧪 streamlit-chem

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Native, RDKit-powered chemistry for Streamlit. Render, edit, and analyze molecules with first-class st.* commands — no iframes, no custom components, and no pickling foot-guns.

It leverages RDKit as its cheminformatics engine. Structures are rendered server-side to sanitized SVG, so molecules travel straight from Python to the browser — there is no browser-side RDKit to ship.

Installation

pip install streamlit-chem

streamlit-chem is import-compatible with Streamlit: install it and every chemical command below is available on the st.* namespace alongside the full Streamlit API.

Getting started

import streamlit as st

st.molecule(
    "CC(=O)Oc1ccccc1C(=O)O",
    caption="Aspirin",
    highlight_substructure="c1ccccc1",
)

Pass a SMILES string or an rdkit.Chem.Mol — both just work.

Chemical elements

Command Description
st.molecule Render a molecule as a native 2D structure, with optional substructure highlighting.
st.chem_dataframe A chemistry-aware st.dataframe: a molecule column renders as 2D structures, everything else behaves like a normal dataframe.
st.smarts_input A st.text_input that validates a SMARTS/SMILES substructure query with RDKit as you type.
st.mol_card A compact summary card: structure + physicochemical metrics + a Lipinski rule-of-five badge.
st.chem_draw An interactive 2D editor (Ketcher) that returns the drawn structure as an rdkit.Chem.Mol.
st.mol_viewer An interactive 3D viewer (3Dmol.js) from a server-side RDKit conformer, returning atom/bond clicks.
st.chem_space Project a molecule library to a 2D map (fingerprints → PCA/t-SNE/UMAP) and lasso-select points.
st.r_group_decomposition Decompose a series around a shared core into a table of rendered core and R-group structures.

Molecules are also safe to cache — @st.cache_data serializes rdkit.Chem.Mol objects transparently.

Demo

A gallery showcasing every element lives in demo_molecule.py:

streamlit run demo_molecule.py

Metadata

Release files for streamlit-chem 0.1.0

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