| Name | jsonargparse JSON |
| Version |
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JSON |
| download |
| home_page | None |
| Summary | Implement minimal boilerplate CLIs derived from type hints and parse from command line, config files and environment variables. |
| upload_time | 2025-09-04 03:46:34 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | None |
| keywords |
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jsonargparse
============
Docs: https://jsonargparse.readthedocs.io/ | Source: https://github.com/omni-us/jsonargparse/
``jsonargparse`` is a library for creating command-line interfaces (CLIs) and
making Python apps easily configurable. It is a well-maintained project with
frequent releases, adhering to high standards of development: semantic
versioning, deprecation periods, changelog, automated testing, and full test
coverage.
Although ``jsonargparse`` might not be widely recognized yet, it already boasts
a `substantial user base
<https://github.com/omni-us/jsonargparse/network/dependents>`__. Most notably,
it serves as the framework behind pytorch-lightning's `LightningCLI
<https://lightning.ai/docs/pytorch/stable/cli/lightning_cli.html>`__.
Teaser examples
---------------
CLI with minimal boilerplate:
.. code-block:: python
from jsonargparse import auto_cli
def main_function(...): # your main parameters and logic here
...
if __name__ == "__main__":
auto_cli(main_function) # parses arguments and runs main_function
Minimal boilerplate but manually parsing:
.. code-block:: python
from jsonargparse import auto_parser
parser = auto_parser(main_function)
cfg = parser.parse_args()
...
Powerful argparse-like low level parsers:
.. code-block:: python
from jsonargparse import ArgumentParser
parser = ArgumentParser()
parser.add_argument("--config", action="config") # support config files
parser.add_argument("--opt", type=Union[int, Literal["off"]]) # complex arguments via type hints
parser.add_function_arguments(main_function, "function") # add function parameters
parser.add_class_arguments(SomeClass, "class") # add class parameters
...
cfg = parser.parse_args()
init = parser.instantiate_classes(cfg)
...
Features
--------
``jsonargparse`` is user-friendly and encourages the development of **clean,
high-quality code**. It encompasses numerous powerful features, some unique to
``jsonargparse``, while also combining advantages found in similar packages:
- **Automatic** creation of CLIs, like `Fire
<https://pypi.org/project/fire/>`__, `Typer
<https://pypi.org/project/typer/>`__, `Clize
<https://pypi.org/project/clize/>`__ and `Tyro
<https://pypi.org/project/tyro/>`__.
- Use **type hints** for argument validation, like `Typer
<https://pypi.org/project/typer/>`__, `Tap
<https://pypi.org/project/typed-argument-parser/>`__ and `Tyro
<https://pypi.org/project/tyro/>`__.
- Use of **docstrings** for automatic generation of help, like `Tap
<https://pypi.org/project/typed-argument-parser/>`__, `Tyro
<https://pypi.org/project/tyro/>`__ and `SimpleParsing
<https://pypi.org/project/simple-parsing/>`__.
- Parse from **configuration files** and **environment variables**, like
`OmegaConf <https://pypi.org/project/omegaconf/>`__, `dynaconf
<https://pypi.org/project/dynaconf/>`__, `confuse
<https://pypi.org/project/confuse/>`__ and `configargparse
<https://pypi.org/project/ConfigArgParse/>`__.
- **Dataclasses** support, like `SimpleParsing
<https://pypi.org/project/simple-parsing/>`__ and `Tyro
<https://pypi.org/project/tyro/>`__.
Other notable features include:
- **Extensive type hint support:** nested types (union, optional), containers
(list, dict, etc.), protocols, user-defined generics, restricted types (regex,
numbers), paths, URLs, types from stubs (``*.pyi``), future annotations (PEP
`563 <https://peps.python.org/pep-0563/>`__), and backports (PEP `604
<https://peps.python.org/pep-0604>`__).
- **Keyword arguments introspection:** resolving of parameters used via
``**kwargs``.
- **Dependency injection:** support types that expect a class instance and
callables that return a class instance.
- **Structured configs:** parse config files with more understandable non-flat
hierarchies.
- **Config file formats:** `json <https://www.json.org/>`__, `yaml
<https://yaml.org/>`__, `toml <https://toml.io/>`__, `jsonnet
<https://jsonnet.org/>`__ and extensible to more formats.
- **Relative paths:** within config files and parsing of config paths referenced
inside other configs.
- **Argument linking:** directing parsed values to multiple parameters,
preventing unnecessary interpolation in configs.
- **Variable interpolation:** powered by `OmegaConf
<https://omegaconf.readthedocs.io/en/latest/usage.html#variable-interpolation>`__.
- **Tab completion:** powered by `shtab
<https://pypi.org/project/shtab/>`__ or `argcomplete
<https://pypi.org/project/argcomplete/>`__.
Design principles
-----------------
- **Non-intrusive/decoupled:**
There is no requirement for unrelated modifications throughout a codebase,
maintaining the `separation of concerns principle
<https://en.wikipedia.org/wiki/Separation_of_concerns>`__. In simpler terms,
changes should make sense even without the CLI. No need to inherit from a
special class, add decorators, or use CLI-specific type hints.
- **Minimal boilerplate:**
A recommended practice is to write code with function/class parameters having
meaningful names, accurate type hints, and descriptive docstrings. Reuse these
wherever they appear to automatically generate the CLI, following the `don't
repeat yourself principle
<https://en.wikipedia.org/wiki/Don%27t_repeat_yourself>`__. A notable
advantage is that when parameters are added or types changed, the CLI will
remain synchronized, avoiding the need to update the CLI's implementation.
- **Dependency injection:**
Using as type hint a class or a callable that instantiates a class, a practice
known as `dependency injection
<https://en.wikipedia.org/wiki/Dependency_injection>`__, is a sound design
pattern for developing loosely coupled and highly configurable software. Such
type hints should be supported with minimal restrictions.
.. _installation:
Installation
============
You can install using `pip <https://pypi.org/project/jsonargparse/>`__ as:
.. code-block:: bash
pip install jsonargparse
By default, the only dependency installed with ``jsonargparse`` is `PyYAML
<https://pypi.org/project/PyYAML/>`__. However, several optional features can be
enabled by specifying one or more of the following extras (optional
dependencies): ``signatures``, ``jsonschema``, ``jsonnet``, ``urls``,
``fsspec``, ``toml``, ``ruamel``, ``omegaconf``, ``shtab``, and ``argcomplete``.
Additionally, the ``all`` extras can be used to enable all optional features
(excluding tab completion ones). To install ``jsonargparse`` with extras, use
the following syntax:
.. code-block:: bash
pip install "jsonargparse[signatures,urls]" # Enable signatures and URLs features
pip install "jsonargparse[all]" # Enable all optional features
To install the latest development version, use the following command:
.. code-block:: bash
pip install "jsonargparse[signatures] @ git+https://github.com/omni-us/jsonargparse.git@main"
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"description": ".. image:: https://readthedocs.org/projects/jsonargparse/badge/?version=stable\n :target: https://readthedocs.org/projects/jsonargparse/\n.. image:: https://github.com/omni-us/jsonargparse/actions/workflows/tests.yaml/badge.svg\n :target: https://github.com/omni-us/jsonargparse/actions/workflows/tests.yaml\n.. image:: https://codecov.io/gh/omni-us/jsonargparse/branch/main/graph/badge.svg\n :target: https://codecov.io/gh/omni-us/jsonargparse\n.. image:: https://sonarcloud.io/api/project_badges/measure?project=omni-us_jsonargparse&metric=alert_status\n :target: https://sonarcloud.io/dashboard?id=omni-us_jsonargparse\n.. image:: https://badge.fury.io/py/jsonargparse.svg\n :target: https://badge.fury.io/py/jsonargparse\n\n\njsonargparse\n============\n\nDocs: https://jsonargparse.readthedocs.io/ | Source: https://github.com/omni-us/jsonargparse/\n\n``jsonargparse`` is a library for creating command-line interfaces (CLIs) and\nmaking Python apps easily configurable. It is a well-maintained project with\nfrequent releases, adhering to high standards of development: semantic\nversioning, deprecation periods, changelog, automated testing, and full test\ncoverage.\n\nAlthough ``jsonargparse`` might not be widely recognized yet, it already boasts\na `substantial user base\n<https://github.com/omni-us/jsonargparse/network/dependents>`__. Most notably,\nit serves as the framework behind pytorch-lightning's `LightningCLI\n<https://lightning.ai/docs/pytorch/stable/cli/lightning_cli.html>`__.\n\nTeaser examples\n---------------\n\nCLI with minimal boilerplate:\n\n.. code-block:: python\n\n from jsonargparse import auto_cli\n\n def main_function(...): # your main parameters and logic here\n ...\n\n if __name__ == \"__main__\":\n auto_cli(main_function) # parses arguments and runs main_function\n\nMinimal boilerplate but manually parsing:\n\n.. code-block:: python\n\n from jsonargparse import auto_parser\n\n parser = auto_parser(main_function)\n cfg = parser.parse_args()\n ...\n\nPowerful argparse-like low level parsers:\n\n.. code-block:: python\n\n from jsonargparse import ArgumentParser\n\n parser = ArgumentParser()\n parser.add_argument(\"--config\", action=\"config\") # support config files\n parser.add_argument(\"--opt\", type=Union[int, Literal[\"off\"]]) # complex arguments via type hints\n parser.add_function_arguments(main_function, \"function\") # add function parameters\n parser.add_class_arguments(SomeClass, \"class\") # add class parameters\n ...\n cfg = parser.parse_args()\n init = parser.instantiate_classes(cfg)\n ...\n\n\nFeatures\n--------\n\n``jsonargparse`` is user-friendly and encourages the development of **clean,\nhigh-quality code**. 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