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py3Dmol

An IPython interface for embedding 3Dmol.js views in Jupyter notebooks

With conditionsPyPI VisualizationReleased May 2026427.3K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — py3dmol-2.5.5-py2.py3-none-any.whl
v2.5.5 · released 2026-05-23

Yes, if you work with molecular structures in Jupyter notebooks. Installation is frictionless, maintenance is active, the MIT license is permissive, and there are no known vulnerabilities. The static rendering model makes it reliable for sharing notebooks and exporting to web. Not needed if you don't use Jupyter or don't work with 3D molecular data.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Jupyter notebook environment to display the interactive viewer; static output works in web pages and presentations generated from notebooks.
  • Low friction installation with no runtime dependencies.
  • Last release 83 days ago with active maintenance status.

License · maintenance · safety

MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.

last release 2026-05-23 (83 days)

0 known vulnerabilities (OSV.dev, 2026-08-14) · 427,302 downloads/mo, #6,751 on PyPI

Verify before relying

pip install py3Dmol

import py3Dmol
view = py3Dmol.view(query='pdb:1ubq')
view.setStyle({'cartoon':{'color':'spectrum'}})
view
  • Whether the package supports Python 2 in practice given its 2016 origin and the Python 2 classifier—Python 2 reached end-of-life in 2020.
  • Current state of the upstream 3Dmol.js library and whether breaking changes have occurred since the last py3Dmol release.
Same gist for agents: .md · .json

What it is and what it does

py3Dmol is a Jupyter widget that wraps 3Dmol.js to display interactive 3D molecular structures in notebooks. It lets you query structures by PDB ID or load custom molecular data, then style and manipulate them using the 3Dmol.js API—all without needing a running kernel after the cell executes. The viewer renders as static HTML, so notebooks exported to web pages or presentations retain full interactivity.

The package has no runtime dependencies beyond Python itself, making it lightweight to install. It's designed for researchers and developers working with protein structures, chemical compounds, and other molecular data in computational notebooks. One-way communication means the notebook cannot programmatically read back viewer state, only send commands to it.

Use it for

  • Display protein structures from the Protein Data Bank by PDB ID in research notebooks.
  • Visualize molecular docking results or simulation frames with custom styling and coloring.
  • Create interactive molecular structure figures for presentations and publications exported from notebooks.
  • Teach structural biology or chemistry by embedding explorable 3D models directly in course materials.
  • Inspect and annotate chemical compound structures during drug discovery workflows.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you work with molecular structures in Jupyter notebooks.

Installation is frictionless, maintenance is active, the MIT license is permissive, and there are no known vulnerabilities. The static rendering model makes it reliable for sharing notebooks and exporting to web. Not needed if you don't use Jupyter or don't work with 3D molecular data.

Install

py3dmol on PyPI

Before you install

Low friction installation with no runtime dependencies. Last release 83 days ago with active maintenance status.

Requires Jupyter notebook environment to display the interactive viewer; static output works in web pages and presentations generated from notebooks.

License in practice

MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.

Quickstart

pip install py3Dmol

import py3Dmol
view = py3Dmol.view(query='pdb:1ubq')
view.setStyle({'cartoon':{'color':'spectrum'}})
view

Verify before relying

  • Whether the package supports Python 2 in practice given its 2016 origin and the Python 2 classifier—Python 2 reached end-of-life in 2020.
  • Current state of the upstream 3Dmol.js library and whether breaking changes have occurred since the last py3Dmol release.

Package facts

LicenseMIT permissive
Python supportNot specified
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceActively maintained 83 days since the last release
First released
Downloads427,302 / month, #6,751 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 2Programming Language :: Python :: 3Topic :: Scientific/Engineering :: Bio-InformaticsTopic :: Scientific/Engineering :: ChemistryTopic :: Scientific/Engineering :: Visualization

Evidence: py3dmol-2.5.5-py2.py3-none-any.whl

Tags

Capabilities
jupyter 3d molecule viewerprotein structure visualizationmolecular structure display3dmol jupyter widgetinteractive pdb viewerchemical structure notebook3d molecular graphics
Topics
jupyter-widgetmolecular-visualizationstructural-biology
PyPI keywords
moleculeproteinvisualization

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See also ipywidgets · ipyleaflet · rerun-notebook · mpld3 · ipytree · pythreejs · mediapy · jupyter-leaflet · ipysigma · prolif