Metadata-Version: 2.1
Name: swmr_tools
Version: 0.7.1
Summary: Python iterator for safely monitoring NeXus files
Home-page: https://github.com/DiamondLightSource/python-swmrtools
Author: Diamond Light Source Ltd
Author-email: scientificsoftware@diamond.ac.uk
License: MIT
Keywords: HDF5,Iterator,Diamond
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# swmr_tools

[![PyPI release](https://img.shields.io/pypi/v/swmr-tools.svg)](https://pypi.org/project/swmr-tools/) [![Test status](https://github.com/DiamondLightSource/python-swmrtools/actions/workflows/ci.yml/badge.svg)](https://github.com/DiamondLightSource/python-swmrtools/actions/workflows/ci.yml) [![Docs](https://readthedocs.org/projects/python-swmrtools/badge/?version=latest)](https://python-swmrtools.readthedocs.io/en/latest/?badge=latest)

swmr_tools is a Python library developed by Diamond Light Source Ltd designed to facilitate reading and processing data from HDF5 swmr files as they are being written.

## Installation

swmr_tools can be installed using either conda [(from the conda-forge channel)](https://anaconda.org/conda-forge/swmr-tools):

```bash
conda install -c conda-forge swmr-tools
```

or the package manager [pip](https://pip.pypa.io/en/stable/):

```bash
pip install swmr_tools
```

## Usage

- For full examples of use please see the full documentation at https://python-swmrtools.readthedocs.io

- Jupyter notebook tutorials for key functionality can be found in the tutorial directory in the git repository
