Metadata-Version: 2.1
Name: mdata
Version: 0.1.5
Summary: 
License: MIT
Keywords: data format,machine data
Author: Leah Tacke genannt Unterberg
Author-email: leah.tgu@pads.rwth-aachen.de
Requires-Python: >=3.11,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: immutabledict
Requires-Dist: matplotlib
Requires-Dist: pandas[computation,excel,hdf5,output-formatting,performance,postgresql] (>=2.0,<3.0)
Requires-Dist: plotly (>=5.16,<6.0)
Requires-Dist: pyyaml
Requires-Dist: seaborn
Requires-Dist: tsdownsample (>=0.1.2,<0.2.0)
Description-Content-Type: text/markdown

This is the official machine data format package.

It supports csv importing, exporting and format compliance checking.
Machine data is parsed into a python object that provides typed views on the contained measurement and event timeseries.
Furthermore, the repository contains extraction/conversion code for various IoP datasets, as well as some synthetic mock data.

There is also a web-app that gives some of the aforementioned features a visual interface [mdata_app](https://git-ce.rwth-aachen.de/machine-data/mdata_app).
An instance is publicly hosted at [https://mdata.cluster.iop.rwth-aachen.de/](https://mdata.cluster.iop.rwth-aachen.de/), however there are no guarantees about security or privacy of the uploaded data. 

For an overview over the format specification, see\
[![Download PDF](https://img.shields.io/badge/Machine_Data_Format-PDF-green)](files/info/iop-machine-data-proposal.pdf)
