Python binding to typst, a new markup-based typesetting system that is powerful and easy to learn.
pip install typst
import typst
# Compile `hello.typ` to PDF and save as `hello.pdf`
typst.compile("hello.typ", output="hello.pdf")
# Compile `hello.typ` to PNG and save as `hello.png`
typst.compile("hello.typ", output="hello.png", format="png", ppi=144.0)
# Or pass `hello.typ` content as bytes
with open("hello.typ", "rb") as f:
typst.compile(f.read(), output="hello.pdf")
# Or return PDF content as bytes
pdf_bytes = typst.compile("hello.typ")
# Also for svg
svg_bytes = typst.compile("hello.typ", format="svg")
# For multi-page export (the template is the same as the typst cli)
images = typst.compile("hello.typ", output="hello{n}.png", format="png")
# Or use Compiler class to avoid reinitialization
compiler = typst.Compiler("hello.typ")
compiler.compile(format="png", ppi=144.0)
# Query something
import json
values = json.loads(typst.query("hello.typ", "<note>", field="value", one=True))
You can pass values to the compiled Typst file with the sys_inputs
argument. For example:
import json
import typst
persons = [{"name": "John", "age": 35}, {"name": "Xoliswa", "age": 45}]
sys_inputs = {"persons": json.dumps(persons)}
typst.compile(input="main.typ", output="ages.pdf", sys_inputs=sys_inputs)
The following example shows how the passed data can be used in a Typst file.
#let persons = json(bytes(sys.inputs.persons))
#for person in persons [
#person.name is #person.age years old. \
]
This work is released under the Apache-2.0 license. A copy of the license is provided in the LICENSE file.