Metadata-Version: 2.4
Name: astmio
Version: 1.0.0a3
Summary: Python implementation of ASTM E1381/1394 protocol.
Author-email: Prasoon Pratham <prathamprasoonyt@gmail.com>
Project-URL: Homepage, https://github.com/PrasoonPratham/astmio
Project-URL: Bug Tracker, https://github.com/PrasoonPratham/astmio/issues
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: LICENSE.original
Dynamic: license-file

ASTMIO

`astmio` is a Python library designed to handle ASTM communication protocols used in medical and laboratory equipment. It provides tools to parse, build, and transmit ASTM E1381/E1394 messages over serial connections, making it easy to integrate lab machines like blood analyzers with custom Laboratory Information Systems (LIS).

## Features

*   Full support for ASTM message parsing and encoding
*   Serial port abstraction for easy device communication
*   Customizable message mapping and field-level access
*   Built with extensibility in mind for LIS and middleware integration

Read the docs for more info: https://PrasoonPratham.github.io/astmio/

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Acknowledgements

This project is a fork of the original `python-astm` library created by Alexander Shorin. The original project, licensed under the 3-Clause BSD License, can be found at [the original PyPI project](https://pypi.org/project/astm/). Many thanks to the original author for their work.

