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What do you want to do?

Analyze Molecules

Structures, descriptors and chemical information.

Search Literature

Find and summarize chemistry literature.

Predict Properties

Molecular property prediction workflows.

Plan Synthesis

Retrosynthesis and reaction planning.

Protein & Drug Research

Proteins, ligands and drug discovery.

Chemical Data

Clean, normalize and enrich datasets.

Materials Research

Explore materials records and calculated properties.

Build a Chemistry Assistant

Give your AI client chemistry capabilities.

Run AI Locally

Build a local chemistry AI environment.

Selected goal: Chemical Data

Recommended stacks · Chemical Data

Environment: Any Level: Any Budget: Any Data preference: Any
Official

Chemical Data Cleaning Stack

Validate and canonicalize SMILES with RDKit without dropping original rows; flag duplicates and optionally enrich valid entries with PubChem identifiers.

RDKit + PubChemPy

Chemical Data

Level: Intermediate Cost: Free Privacy: Depends on configuration ~30 min

Python

View Setup →
Official

Materials Research Starter Stack

Use the current Materials Project Python API to fetch a small material summary, preserve identifiers and units, and separate computed properties from experimental evidence.

Materials Project API

Materials Research

Level: Intermediate Cost: Mixed Privacy: Depends on configuration ~30 min

Python

View Setup →