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An IPython/Jupyter widget to interactively view molecular structures and trajectories. Utilizes the embeddable NGL Viewer for rendering. Support for showing data from the file-system, RCSB PDB, simpletraj and from objects of analysis libraries mdtraj, pytraj, mdanalysis, ParmEd, rdkit, ase, HTMD, biopython, cctbx, pyrosetta, schrodinger's Structure

Should work with Python 3. If you experience problems, please file an issue.

Ask question about usage? Please post here


Table of contents


Released version

  • Available on conda-forge channel

    conda install nglview -c conda-forge
  • Available on PyPI

   pip install nglview

Jupyterlab: nglview works best with jupyterlab >= 3.0 and no further steps needed. Known to work versions

nglview lab notebook ipywidgets Known issue(s)
3.1.0 4.0.10 7.0.6 8.1.1 HTML embed doesn't work
3.0.8 4.0.10 7.0.6 8.1.1 show_pdbid doesn't work


If you are using notebook v5.0, you need to increase the iopub_data_rate_limit to visualize big structure (e.g: solvated system)

jupyter notebook --NotebookApp.iopub_data_rate_limit=10000000

Development version

Requirement: ipywidgets >= 7.0, notebook >= 4.2

The development version can be installed directly from github:

notebook user

    git clone
    cd nglview
    python install

    # if you edit files in ./js folder, make sure to rebuild the code
    cd js
    npm install

    # probably need to activate widgetsnbextension
    # python -m ipykernel install --sys-prefix
    # jupyter nbextension enable --py --sys-prefix widgetsnbextension
    # jupyter nbextension enable --py --sys-prefix nglview

    # tested with ipywidgets 5.2.2, notebook 4.2.1


Showcase from users


Open a notebook

jupyter notebook

and issue

import nglview
view = nglview.show_pdbid("3pqr")  # load "3pqr" from RCSB PDB and display viewer widget

A number of convenience functions are available to quickly display data from the file-system, RCSB PDB, simpletraj and from objects of analysis libraries mdtraj, pytraj, mdanalysis, ParmEd, rdkit, HTMD, biopython.

Function Description
show_file(path) Shows any NGL supported file formats (pdb, gro, mol2, sdf, dx, ..) in path
show_pdbid(pdbid) Shows pdbid fetched from RCSB PDB
show_simpletraj(struc_path, traj_path) Shows structure & trajectory loaded with simpletraj
show_mdtraj(traj) Shows MDTraj trajectory traj
show_pytraj(traj) Shows PyTraj trajectory traj
show_parmed(structure) Shows ParmEd structure
show_mdanalysis(univ) Shows MDAnalysis Universe or AtomGroup univ
show_rdkit(mol) Shows rdkit rdkit.Chem.rdchem.Mol
show_ase(atoms) Shows ase Atoms
show_asetraj(traj) Shows ase trajectory traj
show_pymatgen(struct) Shows pymatgen Structure
show_htmd(mol) Shows HTMD Molecules
show_biopython(mol) Shows Biopython structural entities
show_iotbx(mol) Shows cctbx's iotbx structure
show_rosetta(pose) Shows pyrosetta's Pose
show_iodata(obj) Shows iodata's IOData
show_psi4(obj) Shows psi4's Molecule
show_qcelemental Shows QCelementary's Molecule
show_openbabel Shows openbabel's OMol
show_prody Shows prody's Ensemble or AtomGroup



view.add_representation('cartoon', selection='protein')

# or shorter
view.add_surface(selection="protein", opacity=0.3)

# specify color
view.add_cartoon(selection="protein", color='blue')

# specify residue
view.add_licorice('ALA, GLU')

# clear representations

# update parameters for ALL cartoons of component 0 (default)
view.update_cartoon(opacity=0.4, component=0)

# remove ALL cartoons of component 0 (default)
view.remove_cartoon(opacity=0.4, component=0)

# Not using default representation
view = nv.show_file('your.pdb', default=False)

Representations can also be changed by overwriting the representations property of the widget instance view. The available type and params are described in the NGL Viewer documentation.

view.representations = [
    {"type": "cartoon", "params": {
        "sele": "protein", "color": "residueindex"
    {"type": "ball+stick", "params": {
        "sele": "hetero"

The widget constructor also accepts a representation argument:

initial_repr = [
    {"type": "cartoon", "params": {
        "sele": "protein", "color": "sstruc"

view = nglview.NGLWidget(struc, representation=initial_repr)


# set the frame number
view.frame = 100
# parameters for the NGL stage object
    # "percentages, "dist" is distance to camera in Angstrom
    "clipNear": 0, "clipFar": 100, "clipDist": 10,
    # percentages, start of fog and where on full effect
    "fogNear": 0, "fogFar": 100,
    # background color
    "backgroundColor": "black",

# note: NGLView accepts both origin camel NGL keywords (e.g. "clipNear")
# and snake keywords (e.g "clip_near")
# parameters to control the `delay` between snapshots
# change `step` to play forward (positive value) or backward (negative value)
# note: experimental code
view.player.parameters = dict(delay=0.04, step=-1)
# update camera type = 'orthographic'
# change background color
view.background = 'black'


# adding new trajectory
# traj could be a `pytraj.Trajectory`, `mdtraj.Trajectory`, `MDAnalysis.Universe`,
# `parmed.Structure`, `htmd.Molecule` or derived class of `nglview.Trajectory`

# change representation
view[0].add_cartoon(...) # equal to view.add_cartoon(component=0)
view[1].add_licorice(...) # equal to view.add_licorice(component=1)

Add extra component

# Density volumes (MRC/MAP/CCP4, DX/DXBIN, CUBE)
# Or adding derived class of `nglview.Structure`

# add component from url
# NOTE: Trajectory is a special case of component.


# coot mouse style (

Interaction controls

Movie making

Require: moviepy (pip install moviepy)

from import MovieMaker
movie = MovieMaker(view, output='my.gif', in_memory=True)

Embed widget


API doc

Command line

# open a notebook and import nglview

# Require installing pytraj (PR for other backends is welcome)
# open notebook, load `my.pdb` to pytraj's trajectory then display `view`
nglview my.pdb

# load density data
nglview my.ccp4

# open notebook, create trajectory with given topology `my.parm7` and trajecotry file ``,
# then display `view`
nglview my.parm7 -c

# load all trajectories with filename ending with 'nc'
# make sure to use quote " "
nglview my.parm7 -c "*.nc"

# open notebook, copy content from ``

# create a remote notebook
# just follow its instruction
nglview my.pdb --remote
nglview my.parm7 -c --remote
nglview mynotebook.ipynb --remote

# demo (don't need pytraj)
nglview demo

# specify web browser
nglview my.pdb --browser=google-chrome





Talks about NGL and nglview


Join us here

Projects integrating NGLView

(Feel free to make a PR to add/remove your project here. Thanks.)

  • AMBER - A package of programs for molecular dynamics simulations of proteins and nucleic acids
  • mbuild - A hierarchical, component based molecule builder
  • deepchem - Deep-learning models for Drug Discovery and Quantum Chemistry
  • htmd - High throughput molecular dynamics simulations
  • Moleidoscope - Molecular kaleidoscope
  • ssbio - Tools for enabling structural systems biology
  • hublib - hublib is a Python library for the HUBzero science gateway platform.
  • molPX: ipython API to visualize MD-trajectories along projected trajectories
  • nanoribbon
  • ase: Atomic Simulation Environment
  • pida: Software for analyzing multiple protein-protein interaction docking solutions,
  • pytim
  • MobleyLab/drug-computing Educational materials for, and related to, UC Irvine's Drug Discovery Computing Techniques course.
  • pyiron: an integrated development environment for implementing, testing, and running simulations in computational materials science.
  • BioSimSpace: An interoperable framework for biomolecular simulation
  • pyrod: PyRod - Tracing water molecules in molecular dynamics simulations
  • kugupu: kugupu - a molecular network generator to study charge transport pathways in amorphous materials
  • pnab: proto-Nucleic Acid Builder
  • opencadd: A Python library for structural cheminformatics
  • teachopencadd: TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
  • datamol: A python library to work with molecules.
  • dynophores: Dynamic pharmacophore modeling of molecular interactions
  • pychemcurv: Discrete and local curvature applied to chemistry and chemical reactivity
  • AutoSolvate: Automated workflow for generating quantum chemistry calculation of explicitly solvated molecules
  • plipify: PLIPify: Protein-Ligand Interaction Frequencies across Multiple Structures
  • Melodia: Differential Geometry of Proteins Backbones
  • pyrosetta_viewer3d: Display PackedPose objects, Pose objects, or PDB files within a Jupyter notebook and Google Colab
  • py4vasp: Python interface for VASP
  • eminus: A plane wave density functional theory code.
  • MolSysMT: Molecular Systems Multi-Tool



If you would like to acknowledge our work, feel free to cite:

Hai Nguyen, David A Case, Alexander S Rose; NGLview - Interactive molecular graphics for Jupyter notebooks, Bioinformatics, , btx789,


Generally MIT, see the LICENSE file for details.