Awesome
<br /> <p align="center"> <!-- This README will be used for both GitHub and PyPI. We therefore: - Keep all image URLs absolute. - In the GitHub action we use for publishing, strip some HTML tags that aren't supported by PyPI. --> <!-- pypi-strip --> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://brentyi.github.io/tyro/_static/logo-dark.svg" /> <!-- /pypi-strip --> <img alt="tyro logo" src="https://brentyi.github.io/tyro/_static/logo-light.svg" width="200px" /> <!-- pypi-strip --> </picture> <!-- /pypi-strip --> </p> <p align="center"> <em><a href="https://brentyi.github.io/tyro">Documentation</a></em> • <em><code>pip install tyro</code></em> </p> <p align="center"> <!-- <img alt="build" src="https://github.com/brentyi/tyro/actions/workflows/build.yml/badge.svg" /> --> <img alt="mypy" src="https://github.com/brentyi/tyro/actions/workflows/mypy.yml/badge.svg" /> <img alt="pyright" src="https://github.com/brentyi/tyro/actions/workflows/pyright.yml/badge.svg" /> <!-- <img alt="ruff" src="https://github.com/brentyi/tyro/actions/workflows/ruff.yml/badge.svg" /> --> <a href="https://codecov.io/gh/brentyi/tyro"> <img alt="codecov" src="https://codecov.io/gh/brentyi/tyro/branch/main/graph/badge.svg" /> </a> <a href="https://pypi.org/project/tyro/"> <img alt="codecov" src="https://img.shields.io/pypi/pyversions/tyro" /> </a> </p> <br /><strong><code>tyro.cli()</code></strong> is a tool for generating CLI interfaces in Python.
We can define configurable scripts using functions:
"""A command-line interface defined using a function signature.
Usage: python script_name.py --foo INT [--bar STR]
"""
import tyro
def main(
foo: int,
bar: str = "default",
) -> None:
... # Main body of a script.
if __name__ == "__main__":
# Generate a CLI and call `main` with its two arguments: `foo` and `bar`.
tyro.cli(main)
Or instantiate config objects defined using tools like dataclasses
, pydantic
, and attrs
:
"""A command-line interface defined using a class signature.
Usage: python script_name.py --foo INT [--bar STR]
"""
from dataclasses import dataclass
import tyro
@dataclass
class Config:
foo: int
bar: str = "default"
if __name__ == "__main__":
# Generate a CLI and instantiate `Config` with its two arguments: `foo` and `bar`.
config = tyro.cli(Config)
# Rest of script.
assert isinstance(config, Config) # Should pass.
Other features include helptext generation, nested structures, subcommands, and shell completion. For examples and the API reference, see our documentation.
Why tyro
?
-
Define things once. Standard Python type annotations, docstrings, and default values are parsed to automatically generate command-line interfaces with informative helptext.
-
Static types. Unlike tools dependent on dictionaries, YAML, or dynamic namespaces, arguments populated by
tyro
benefit from IDE and language server-supported operations — tab completion, rename, jump-to-def, docstrings on hover — as well as static checking tools likepyright
andmypy
. -
Modularity.
tyro
supports hierarchical configuration structures, which make it easy to decentralize definitions, defaults, and documentation.
In the wild
tyro
is designed to be lightweight enough for throwaway scripts, while
facilitating type safety and modularity for larger projects. Examples:
Alternatives
tyro
is an opinionated library. If any design decisions don't make sense,
feel free to file an issue!
You might also consider one of many alternative libraries. Some that we particularly like:
- simple-parsing and jsonargparse, which provide deeper integration with configuration file formats like YAML and JSON.
- clipstick, which focuses on simplicity + generating CLIs from Pydantic models.
- datargs, which provides a minimal API for dataclasses.
- defopt, which has similarly comprehensive type annotation support.
- fire and clize, which support arguments without type annotations.
We also have some notes on tyro
's design goals and other alternatives in the
docs here.