A compositional diagramming tool for Python.
Project description
IceBerg
Iceberg is a compositional diagramming and graphics library embedding in Python. It is designed to be performant, extensible, and easy to use.
The above animation was 33 lines of code
Testimonials
Showcase
Neural Network
A composable Neural Network diagramming class written in iceberg. Full example in examples/neural_network.py
.
network = NeuralNetwork(
# Number of nodes in each layer!
[3, 4, 4, 2],
node_border_color=Colors.BLACK,
line_path_style=PathStyle(Colors.BLACK, thickness=3),
)
node = network.layer_nodes[1][0]
node.border_color = Colors.RED
node.border_thickness = 5
canvas = Blank(Bounds(size=(1080, 720)), background=Colors.WHITE)
scene = canvas.add_centered(network)
renderer = Renderer()
renderer.render(scene)
renderer.save_rendered_image("test.png")
Tex, Arrangements, SVG Outputs
Iceberg supports Tex and Arrangements. Full example in examples/connect.py
.
left_ellipse = Ellipse(
Bounds(size=(_CIRCLE_WIDTH, _CIRCLE_WIDTH)),
border_color=Color.from_hex("#d63031"),
border_thickness=_BORDER_THICKNESS,
fill_color=Color.from_hex("#ff7675"),
).pad(_CIRCLE_PAD)
right_ellipse = Ellipse(
Bounds(size=(_CIRCLE_WIDTH, _CIRCLE_WIDTH)),
border_color=Color.from_hex("#0984e3"),
border_thickness=_BORDER_THICKNESS,
fill_color=Color.from_hex("#74b9ff"),
).pad(_CIRCLE_PAD)
ellipses = Arrange(
[left_ellipse, right_ellipse],
gap=500,
)
with ellipses:
# Within this context, we can use `relative_bounds` to get the bounds of the
# `left_ellipse` and `right_ellipse` relative to the `ellipses` object.
arrow = Arrow(
left_ellipse.relative_bounds.corners[Corner.MIDDLE_RIGHT],
right_ellipse.relative_bounds.corners[Corner.MIDDLE_LEFT],
line_path_style=PathStyle(
color=Colors.BLACK,
thickness=3,
),
)
arrow_label = MathTex("f(x) = x^2", scale=4)
arrow = LabelArrow(
arrow,
arrow_label,
Corner.BOTTOM_MIDDLE,
distance=20,
)
connection = Compose([ellipses, arrow])
text_block = Text(
"This is some really long text, and it's going to wrap around at some point, because it's so long and I spent a lot of time on it.",
font_style=FontStyle(
family=_FONT_FAMILY,
size=28,
color=Colors.BLACK,
),
width=connection.bounds.width,
)
scene = Arrange(
[connection, text_block],
gap=10,
arrange_direction=Arrange.Direction.VERTICAL,
)
Animations
IceBerg can take a difference between two scenes and interpolate the difference.
sceneA = blank.add_centered(arrangeA)
sceneB = blank.add_centered(arrangeB)
# Interpolate between two different arrangements.
scene = tween(sceneA, sceneB, t / self.duration)
Install
The library is still under development, hence updates are frequent. To install the latest version, run the following command:
pip install git+https://github.com/revalo/iceberg.git
Not recommended yet, but if you want a stable version, use the PyPI package.:
pip install -U iceberg-dsl
Quickstart
Full example in examples/quickstart.py
.
from iceberg import Renderer, Bounds, Colors, FontStyle
from iceberg.primitives import Rectangle, Blank, SimpleText, Directions
# Blank is a large empty rectangle.
canvas = Blank(Bounds(size=(1080, 720)))
# Create a rectangle.
rectangle = Rectangle(
Bounds(size=(500, 100)),
Colors.WHITE,
border_thickness=3,
)
# Create a text.
text = Text(
text="Hello, World!",
font_style=FontStyle(
family="Arial",
size=28,
color=Colors.WHITE,
),
)
# Place the text below the rectangle.
rectangle_and_text = rectangle.next_to(text, Directions.DOWN * 10)
# Center the rectangle and text combination to the canvas.
scene = canvas.add_centered(rectangle_and_text)
# Render the scene and save it to a file.
renderer = Renderer()
renderer.render(scene)
renderer.save_rendered_image("test.png")
Should produce:
Citation
Cite Iceberg by clicking the "cite this repository" button on the right sidebar.
@software{IceBerg_Contributors_IceBerg_Compositional_2023,
author = {{IceBerg Contributors}},
license = {MIT},
month = jul,
title = {{IceBerg – Compositional Graphics & Diagramming}},
url = {https://github.com/revalo/iceberg},
year = {2023}
}
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