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polyplot

Three Fiber–based anywidget for 2.5D polygons: preprocess stacked 2D outlines (per cell_id and ZIndex), build triangulated meshes, export spatial GLB tiles, and view them in the browser with a local tile server and WebGL widget.

polyplot viewer showing colorful 3D cell meshes

Documentation (Zensical):ckmah.github.io/polyplot

Requirements

  • Python 3.12+
  • uv recommended (see pyproject.toml for dependencies)

Install

From the repository root:

uv sync

Quick start (marimo)

uv run marimo edit quickstart.py

Open in molab

Usage

importpolyplotaspotiles_info=po.meshify(gdf) # default cache: ./.polyplot/<hash>/po.plot(gdf) # meshifies from cache if needed; wireframe / opacity / BG in the viewer UI
  • meshify: preprocess a GeoDataFrame (cell_id, ZIndex, geometry), write tiles/ and tiles.json under .polyplot/<content hash>/ by default (override with out_dir=...). Use smooth=False for no Taubin smoothing, use_cache=False to force a rebuild.
  • plot: calls meshify when needed, starts or reuses a local tile server, and returns a marimo anywidget viewer. Wireframe, opacity, and background are adjusted in the widget toolbar, not via Python.

Full demo

The longer example is notebook.py (a marimo app):

uv run marimo edit notebook.py

Sample data

The repository tracks sample_data/liver_crop_sample.parquet, a small subset (~50 cells) for CI and quick starts. A full liver_crop.parquet and other large exports can live in sample_data/ locally; they are gitignored. To regenerate the subset from a local full file:

uv run python scripts/make_liver_subset.py

Development

The Python package lives in the polyplot/ directory. Optional: install gltfpack on your PATH for smaller GLB files (compression is enabled inside meshify).

Repository

github.com/ckmah/polyplot

To publish pre-rendered molab sessions, run from the repo root: uvx marimo export session quickstart.py (and similarly for notebook.py if desired).

About

No description, website, or topics provided.

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GitHub - ckmah/polyplot · GitHub
Skip to content
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polyplot
Three Fiber–based anywidget for 2.5D polygons: preprocess stacked 2D outlines (per cell_id and ZIndex), build triangulated meshes, export spatial GLB tiles, and view them in the browser with a local tile server and WebGL widget.
polyplot viewer showing colorful 3D cell meshes
Documentation (Zensical):ckmah.github.io/polyplot
Requirements
  • Python 3.12+
  • uv recommended (see pyproject.toml for dependencies)
Install
From the repository root:
uv sync
Quick start (marimo)
uv run marimo edit quickstart.py
Open in molab
Usage
importpolyplotaspotiles_info=po.meshify(gdf) # default cache: ./.polyplot/<hash>/po.plot(gdf) # meshifies from cache if needed; wireframe / opacity / BG in the viewer UI
  • meshify: preprocess a GeoDataFrame (cell_id, ZIndex, geometry), write tiles/ and tiles.json under .polyplot/<content hash>/ by default (override with out_dir=...). Use smooth=False for no Taubin smoothing, use_cache=False to force a rebuild.
  • plot: calls meshify when needed, starts or reuses a local tile server, and returns a marimo anywidget viewer. Wireframe, opacity, and background are adjusted in the widget toolbar, not via Python.
Full demo
The longer example is notebook.py (a marimo app):
uv run marimo edit notebook.py
Sample data
The repository tracks sample_data/liver_crop_sample.parquet, a small subset (~50 cells) for CI and quick starts. A full liver_crop.parquet and other large exports can live in sample_data/ locally; they are gitignored. To regenerate the subset from a local full file:
uv run python scripts/make_liver_subset.py
Development
The Python package lives in the polyplot/ directory. Optional: install gltfpack on your PATH for smaller GLB files (compression is enabled inside meshify).
Repository
github.com/ckmah/polyplot
To publish pre-rendered molab sessions, run from the repo root: uvx marimo export session quickstart.py (and similarly for notebook.py if desired).
About
No description, website, or topics provided.
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Readme
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, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - ckmah/polyplot · GitHub
Skip to content
BranchesTags
Repository files navigation
polyplot
Three Fiber–based anywidget for 2.5D polygons: preprocess stacked 2D outlines (per cell_id and ZIndex), build triangulated meshes, export spatial GLB tiles, and view them in the browser with a local tile server and WebGL widget.
polyplot viewer showing colorful 3D cell meshes
Documentation (Zensical):ckmah.github.io/polyplot
Requirements
  • Python 3.12+
  • uv recommended (see pyproject.toml for dependencies)
Install
From the repository root:
uv sync
Quick start (marimo)
uv run marimo edit quickstart.py
Open in molab
Usage
importpolyplotaspotiles_info=po.meshify(gdf) # default cache: ./.polyplot/<hash>/po.plot(gdf) # meshifies from cache if needed; wireframe / opacity / BG in the viewer UI
  • meshify: preprocess a GeoDataFrame (cell_id, ZIndex, geometry), write tiles/ and tiles.json under .polyplot/<content hash>/ by default (override with out_dir=...). Use smooth=False for no Taubin smoothing, use_cache=False to force a rebuild.
  • plot: calls meshify when needed, starts or reuses a local tile server, and returns a marimo anywidget viewer. Wireframe, opacity, and background are adjusted in the widget toolbar, not via Python.
Full demo
The longer example is notebook.py (a marimo app):
uv run marimo edit notebook.py
Sample data
The repository tracks sample_data/liver_crop_sample.parquet, a small subset (~50 cells) for CI and quick starts. A full liver_crop.parquet and other large exports can live in sample_data/ locally; they are gitignored. To regenerate the subset from a local full file:
uv run python scripts/make_liver_subset.py
Development
The Python package lives in the polyplot/ directory. Optional: install gltfpack on your PATH for smaller GLB files (compression is enabled inside meshify).
Repository
github.com/ckmah/polyplot
To publish pre-rendered molab sessions, run from the repo root: uvx marimo export session quickstart.py (and similarly for notebook.py if desired).
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
1 star
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0 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - ckmah/polyplot · GitHub
Skip to content
BranchesTags
Repository files navigation
polyplot
Three Fiber–based anywidget for 2.5D polygons: preprocess stacked 2D outlines (per cell_id and ZIndex), build triangulated meshes, export spatial GLB tiles, and view them in the browser with a local tile server and WebGL widget.
polyplot viewer showing colorful 3D cell meshes
Documentation (Zensical):ckmah.github.io/polyplot
Requirements
  • Python 3.12+
  • uv recommended (see pyproject.toml for dependencies)
Install
From the repository root:
uv sync
Quick start (marimo)
uv run marimo edit quickstart.py
Open in molab
Usage
importpolyplotaspotiles_info=po.meshify(gdf) # default cache: ./.polyplot/<hash>/po.plot(gdf) # meshifies from cache if needed; wireframe / opacity / BG in the viewer UI
  • meshify: preprocess a GeoDataFrame (cell_id, ZIndex, geometry), write tiles/ and tiles.json under .polyplot/<content hash>/ by default (override with out_dir=...). Use smooth=False for no Taubin smoothing, use_cache=False to force a rebuild.
  • plot: calls meshify when needed, starts or reuses a local tile server, and returns a marimo anywidget viewer. Wireframe, opacity, and background are adjusted in the widget toolbar, not via Python.
Full demo
The longer example is notebook.py (a marimo app):
uv run marimo edit notebook.py
Sample data
The repository tracks sample_data/liver_crop_sample.parquet, a small subset (~50 cells) for CI and quick starts. A full liver_crop.parquet and other large exports can live in sample_data/ locally; they are gitignored. To regenerate the subset from a local full file:
uv run python scripts/make_liver_subset.py
Development
The Python package lives in the polyplot/ directory. Optional: install gltfpack on your PATH for smaller GLB files (compression is enabled inside meshify).
Repository
github.com/ckmah/polyplot
To publish pre-rendered molab sessions, run from the repo root: uvx marimo export session quickstart.py (and similarly for notebook.py if desired).
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
1 star
Watchers
0 watching
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0 forks
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, 'i');
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(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - ckmah/polyplot · GitHub
Skip to content
BranchesTags
Repository files navigation
polyplot
Three Fiber–based anywidget for 2.5D polygons: preprocess stacked 2D outlines (per cell_id and ZIndex), build triangulated meshes, export spatial GLB tiles, and view them in the browser with a local tile server and WebGL widget.
polyplot viewer showing colorful 3D cell meshes
Documentation (Zensical):ckmah.github.io/polyplot
Requirements
  • Python 3.12+
  • uv recommended (see pyproject.toml for dependencies)
Install
From the repository root:
uv sync
Quick start (marimo)
uv run marimo edit quickstart.py
Open in molab
Usage
importpolyplotaspotiles_info=po.meshify(gdf) # default cache: ./.polyplot/<hash>/po.plot(gdf) # meshifies from cache if needed; wireframe / opacity / BG in the viewer UI
  • meshify: preprocess a GeoDataFrame (cell_id, ZIndex, geometry), write tiles/ and tiles.json under .polyplot/<content hash>/ by default (override with out_dir=...). Use smooth=False for no Taubin smoothing, use_cache=False to force a rebuild.
  • plot: calls meshify when needed, starts or reuses a local tile server, and returns a marimo anywidget viewer. Wireframe, opacity, and background are adjusted in the widget toolbar, not via Python.
Full demo
The longer example is notebook.py (a marimo app):
uv run marimo edit notebook.py
Sample data
The repository tracks sample_data/liver_crop_sample.parquet, a small subset (~50 cells) for CI and quick starts. A full liver_crop.parquet and other large exports can live in sample_data/ locally; they are gitignored. To regenerate the subset from a local full file:
uv run python scripts/make_liver_subset.py
Development
The Python package lives in the polyplot/ directory. Optional: install gltfpack on your PATH for smaller GLB files (compression is enabled inside meshify).
Repository
github.com/ckmah/polyplot
To publish pre-rendered molab sessions, run from the repo root: uvx marimo export session quickstart.py (and similarly for notebook.py if desired).
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
1 star
Watchers
0 watching
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0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - ckmah/polyplot · GitHub
Skip to content
BranchesTags
Repository files navigation
polyplot
Three Fiber–based anywidget for 2.5D polygons: preprocess stacked 2D outlines (per cell_id and ZIndex), build triangulated meshes, export spatial GLB tiles, and view them in the browser with a local tile server and WebGL widget.
polyplot viewer showing colorful 3D cell meshes
Documentation (Zensical):ckmah.github.io/polyplot
Requirements
  • Python 3.12+
  • uv recommended (see pyproject.toml for dependencies)
Install
From the repository root:
uv sync
Quick start (marimo)
uv run marimo edit quickstart.py
Open in molab
Usage
importpolyplotaspotiles_info=po.meshify(gdf) # default cache: ./.polyplot/<hash>/po.plot(gdf) # meshifies from cache if needed; wireframe / opacity / BG in the viewer UI
  • meshify: preprocess a GeoDataFrame (cell_id, ZIndex, geometry), write tiles/ and tiles.json under .polyplot/<content hash>/ by default (override with out_dir=...). Use smooth=False for no Taubin smoothing, use_cache=False to force a rebuild.
  • plot: calls meshify when needed, starts or reuses a local tile server, and returns a marimo anywidget viewer. Wireframe, opacity, and background are adjusted in the widget toolbar, not via Python.
Full demo
The longer example is notebook.py (a marimo app):
uv run marimo edit notebook.py
Sample data
The repository tracks sample_data/liver_crop_sample.parquet, a small subset (~50 cells) for CI and quick starts. A full liver_crop.parquet and other large exports can live in sample_data/ locally; they are gitignored. To regenerate the subset from a local full file:
uv run python scripts/make_liver_subset.py
Development
The Python package lives in the polyplot/ directory. Optional: install gltfpack on your PATH for smaller GLB files (compression is enabled inside meshify).
Repository
github.com/ckmah/polyplot
To publish pre-rendered molab sessions, run from the repo root: uvx marimo export session quickstart.py (and similarly for notebook.py if desired).
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
1 star
Watchers
0 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - ckmah/polyplot · GitHub
Skip to content
BranchesTags
Repository files navigation
polyplot
Three Fiber–based anywidget for 2.5D polygons: preprocess stacked 2D outlines (per cell_id and ZIndex), build triangulated meshes, export spatial GLB tiles, and view them in the browser with a local tile server and WebGL widget.
polyplot viewer showing colorful 3D cell meshes
Documentation (Zensical):ckmah.github.io/polyplot
Requirements
  • Python 3.12+
  • uv recommended (see pyproject.toml for dependencies)
Install
From the repository root:
uv sync
Quick start (marimo)
uv run marimo edit quickstart.py
Open in molab
Usage
importpolyplotaspotiles_info=po.meshify(gdf) # default cache: ./.polyplot/<hash>/po.plot(gdf) # meshifies from cache if needed; wireframe / opacity / BG in the viewer UI
  • meshify: preprocess a GeoDataFrame (cell_id, ZIndex, geometry), write tiles/ and tiles.json under .polyplot/<content hash>/ by default (override with out_dir=...). Use smooth=False for no Taubin smoothing, use_cache=False to force a rebuild.
  • plot: calls meshify when needed, starts or reuses a local tile server, and returns a marimo anywidget viewer. Wireframe, opacity, and background are adjusted in the widget toolbar, not via Python.
Full demo
The longer example is notebook.py (a marimo app):
uv run marimo edit notebook.py
Sample data
The repository tracks sample_data/liver_crop_sample.parquet, a small subset (~50 cells) for CI and quick starts. A full liver_crop.parquet and other large exports can live in sample_data/ locally; they are gitignored. To regenerate the subset from a local full file:
uv run python scripts/make_liver_subset.py
Development
The Python package lives in the polyplot/ directory. Optional: install gltfpack on your PATH for smaller GLB files (compression is enabled inside meshify).
Repository
github.com/ckmah/polyplot
To publish pre-rendered molab sessions, run from the repo root: uvx marimo export session quickstart.py (and similarly for notebook.py if desired).
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
1 star
Watchers
0 watching
Forks
0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
})();
GitHub - ckmah/polyplot · GitHub
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polyplot
Three Fiber–based anywidget for 2.5D polygons: preprocess stacked 2D outlines (per cell_id and ZIndex), build triangulated meshes, export spatial GLB tiles, and view them in the browser with a local tile server and WebGL widget.
polyplot viewer showing colorful 3D cell meshes
Documentation (Zensical):ckmah.github.io/polyplot
Requirements
  • Python 3.12+
  • uv recommended (see pyproject.toml for dependencies)
Install
From the repository root:
uv sync
Quick start (marimo)
uv run marimo edit quickstart.py
Open in molab
Usage
importpolyplotaspotiles_info=po.meshify(gdf) # default cache: ./.polyplot/<hash>/po.plot(gdf) # meshifies from cache if needed; wireframe / opacity / BG in the viewer UI
  • meshify: preprocess a GeoDataFrame (cell_id, ZIndex, geometry), write tiles/ and tiles.json under .polyplot/<content hash>/ by default (override with out_dir=...). Use smooth=False for no Taubin smoothing, use_cache=False to force a rebuild.
  • plot: calls meshify when needed, starts or reuses a local tile server, and returns a marimo anywidget viewer. Wireframe, opacity, and background are adjusted in the widget toolbar, not via Python.
Full demo
The longer example is notebook.py (a marimo app):
uv run marimo edit notebook.py
Sample data
The repository tracks sample_data/liver_crop_sample.parquet, a small subset (~50 cells) for CI and quick starts. A full liver_crop.parquet and other large exports can live in sample_data/ locally; they are gitignored. To regenerate the subset from a local full file:
uv run python scripts/make_liver_subset.py
Development
The Python package lives in the polyplot/ directory. Optional: install gltfpack on your PATH for smaller GLB files (compression is enabled inside meshify).
Repository
github.com/ckmah/polyplot
To publish pre-rendered molab sessions, run from the repo root: uvx marimo export session quickstart.py (and similarly for notebook.py if desired).
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