ZenGL

pip install zengl

Concept

ZenGL provides a simple way to render from Python. We aim to support headless rendering first, rendering to a window is done by blitting the final image to the screen. By doing this we have full control of what we render. The window does not have to be multisample, and it requires no depth buffer at all.

Examples

pip install zengl[examples]

grass.py

envmap.py

normal_mapping.py

rigged_objects.py

instanced_crates.py

julia_fractal.py

$julia_fractal$

blending.py

render_to_texture.py

pybullet_box_pile.py

pygmsh_shape.py

texture_array.py

monkey.py

reflection.py

polygon_offset.py

blur.py

hello_triangle.py

hello_triangle_srgb.py

viewports.py

points.py

wireframe_terrain.py

crate.py

sdf_example.py

sdf_tree.py

mipmaps.py

conways_game_of_life.py

Headless

import zengl
from PIL import Image

ctx = zengl.context(zengl.loader(headless=True))

size = (1280, 720)
image = ctx.image(size, 'rgba8unorm', samples=1)

triangle = ctx.pipeline(
    vertex_shader='''
        #version 330

        out vec3 v_color;

        vec2 positions[3] = vec2[](
            vec2(0.0, 0.8),
            vec2(-0.6, -0.8),
            vec2(0.6, -0.8)
        );

        vec3 colors[3] = vec3[](
            vec3(1.0, 0.0, 0.0),
            vec3(0.0, 1.0, 0.0),
            vec3(0.0, 0.0, 1.0)
        );

        void main() {
            gl_Position = vec4(positions[gl_VertexID], 0.0, 1.0);
            v_color = colors[gl_VertexID];
        }
    ''',
    fragment_shader='''
        #version 330

        in vec3 v_color;

        layout (location = 0) out vec4 out_color;

        void main() {
            out_color = vec4(v_color, 1.0);
        }
    ''',
    framebuffer=[image],
    topology='triangles',
    vertex_count=3,
)

image.clear_value = (1.0, 1.0, 1.0, 1.0)
image.clear()
triangle.render()

Image.frombuffer('RGBA', size, image.read(), 'raw', 'RGBA', 0, -1).save('hello.png')

Type Hints

Not Working?

It is a known issue that at the moment on linux with venv the pyi file is not distributed properly.

To fix this issue please download the zengl.pyi file and place it either in you project's root or next to the zengl binary. To locate the installation just inspect zengl.__file__.

>>> import zengl
>>> zengl.__file__
'...'

Daninet / zengl