Skip to main content

molvis

Python package for MolVis molecular visualization. A single mv.Molvis() class works from both plain Python scripts (opens a browser tab) and Jupyter notebooks (mounts the page bundle inline in the cell, isolated by Shadow DOM — no iframe). Both hosts drive the same page bundle over a local WebSocket.

Installation

pip install molvis

Quick start

Plain Python script

import molvis as mv
import molpy as mp

viewer = mv.Molvis()          # starts a local WebSocket + opens a browser tab
viewer.draw_frame(frame)
viewer.snapshot()             # PNG screenshot

Jupyter notebook

import molvis as mv
scene = mv.Molvis(name="protein")
scene.draw_frame(frame)
scene                          # mounts the viewer inline in the cell

Both modes use the same command API (draw_frame, set_style, snapshot, selection, palettes, …) and the same event channel.

Bidirectional events

Frontend interactions (selection, mode, frame navigation, …) flow back into Python. Selection is a shared state — canvas clicks are observable from Python without polling.

viewer = mv.Molvis()

# Subscribe to a frontend event (callback runs on the WS thread)
handle = viewer.on("selection_changed",
                   lambda ev: print("sel:", ev["atom_ids"]))
handle.remove()                            # unsubscribe

# Block until a specific event fires
ev = viewer.wait_for("selection_changed", timeout=30)

# Cached state, updated live by incoming events — no RPC roundtrip
print(viewer.selection)     # Selection(atom_ids=(...), bond_ids=(...))
print(viewer.current_mode)  # "view" | "select" | "edit" | ...
print(viewer.current_frame)

# Force a fresh snapshot from the canvas
viewer.refresh_state()

Transport

mv.Molvis() auto-creates a WebSocketTransport. Outside Jupyter it opens the page in the default browser; inside Jupyter the cell mounts the bundle inline. For advanced setups (CDN-hosted page, explicit port, CORS …) pass your own transport:

viewer = mv.Molvis(transport=mv.WebSocketTransport(
    page_base_url="https://molvis.dev/app",   # host page on a CDN
    port=8765,                                # fixed port instead of OS-assigned
    open_browser=False,
))

Token authentication is automatic: the page URL carries a one-time token that the frontend must echo back in its hello handshake.

Scene registry

a = mv.Molvis()                # default scene
b = mv.Molvis()
assert a is b                  # same instance

protein = mv.Molvis(name="protein")
ligand  = mv.Molvis(name="ligand")
mv.Molvis.list_scenes()
mv.Molvis.get_scene("protein")
protein.close()                # stop transport + drop from registry

Drawing API

scene = mv.Molvis()
scene.set_style(style="ball-and-stick")  # one global representation
scene.draw_frame(frame)
scene.draw_box(box)
scene.draw_atoms(atoms)
scene.new_frame()
scene.set_style(style="spacefill", atom_radius=0.5)
scene.set_style(style="skeletal", outline=True)
scene.draw_frame(frame)          # data only; global style is unchanged
scene.set_theme("modern")        # "classic" | "modern"
scene.clear()

Query commands (block until the frontend responds)

png_bytes = scene.snapshot()
frame     = scene.export_frame()
selected  = scene.get_selected()    # mp.Frame with just the selection
scene.select_atom_by_id([0, 2])

Palette utilities

import molvis as mv
from IPython.display import Image

scene = mv.Molvis()
scene                              # render the cell mount first

scene.list_palettes()
scene.palette_entries("cpk")[:5]
scene.palette_colors("glasbey-vivid")[:8]

png = scene.palette_preview("glasbey-vivid")
Image(data=png)

Error handling

Fire-and-forget commands (e.g. draw_frame) log errors asynchronously. Query commands raise MolvisRPCError:

try:
    scene.export_frame()
except mv.MolvisRPCError as exc:
    print(exc.code, exc)

Development

npm run build:page                   # build page bundle + copy to dist/
cd python && python -m pytest tests/ -v

Packaging

npm run build:page
cd python && python -m build --wheel

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

molcrafts_molvis-0.1.0.tar.gz (5.0 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

molcrafts_molvis-0.1.0-py3-none-any.whl (5.1 MB view details)

Uploaded Python 3

File details

Details for the file molcrafts_molvis-0.1.0.tar.gz.

File metadata

  • Download URL: molcrafts_molvis-0.1.0.tar.gz
  • Upload date:
  • Size: 5.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for molcrafts_molvis-0.1.0.tar.gz
Algorithm Hash digest
SHA256 3aceb4ed06947c9e42c2f6493402eb9fbd282ee263966d1d488872d11f3c4732
MD5 f3d67fdadde7b859a16c70ea04f7f230
BLAKE2b-256 dbb69385eb76e4d396a5f06c18deb47cc41a14cdb5d4c4411bedd2f806ed6628

See more details on using hashes here.

Provenance

The following attestation bundles were made for molcrafts_molvis-0.1.0.tar.gz:

Publisher: release-python.yml on MolCrafts/molvis

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file molcrafts_molvis-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for molcrafts_molvis-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a4e5cd2e5b392df84fdce34274dc627c02979890585b8c9c072ce0b3dbe18924
MD5 cd51e8813aa9917c28fad412e6b04429
BLAKE2b-256 f57f81b1a5c3de5fd63b4d1939e2aee21576de258280fb29c76a9117327fa684

See more details on using hashes here.

Provenance

The following attestation bundles were made for molcrafts_molvis-0.1.0-py3-none-any.whl:

Publisher: release-python.yml on MolCrafts/molvis

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

0.2.2

2 files

0.2.1

2 files

0.2.0

2 files

0.1.1

2 files

This release

0.1.0 This release

2 files

0.0.11

2 files

0.0.10

2 files

0.0.9

2 files

0.0.7

2 files

0.0.6

2 files

0.0.5

2 files

0.0.4

2 files

0.0.3

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page