Metadata-Version: 2.1
Name: trepr
Version: 0.1.0
Summary: TREPR processing and analysis routines.
Home-page: https://www.trepr.de/
Author: Jara Popp, Till Biskup, Mirjam Schröder
Author-email: till@till-biskup.de
License: UNKNOWN
Project-URL: Documentation, https://docs.trepr.de/
Project-URL: Source, https://github.com/tillbiskup/trepr
Description: trepr
        =====
        
        trepr is a package for handling data obtained using time-resolved electron paramagnetic resonance (TREPR) spectroscopy. It is based on the `ASpecD framework <https://www.aspecd.de/>`_. Due to inheriting from the ASpecD superclasses, all data generated with the trepr package are completely reproducible and have a complete history.
        
        What is even better: Actual data processing and analysis **no longer requires programming skills**, but is as simple as writing a text file summarising all the steps you want to have been performed on your dataset(s) in an organised way. Curious? Have a look at the following example::
        
            default_package: trepr
        
            datasets:
              - /path/to/first/dataset
              - /path/to/second/dataset
        
            tasks:
              - kind: processing
                type: PretriggerOffsetCompensation
              - kind: processing
                type: BackgroundCorrection
                properties:
                  parameters:
                    num_profiles: [10, 10]
              - kind: singleplot
                type: SinglePlotter2D
                properties:
                  filename:
                    - first-dataset.pdf
                    - second-dataset.pdf
        
        For more general information on the trepr package and for how to use it, see its `documentation <https://doc.trepr.de/>`_.
        
        
        Features
        --------
        
        A list of features:
        
        - Fully reproducible processing of tr-EPR data
        - Import and export of data from and to different formats
        - Customisable plots
        - Automatically generated reports
        - Recipe-driven data analysis, allowing tasks to be performed fully unattended in the background and without programming skills
        
        And to make it even more convenient for users and future-proof:
        
        - Open source project written in Python (>= 3.5)
        - Extensive user and API documentation
        
        
        .. warning::
          The trepr package is currently under active development and still considered in Beta development state. Therefore, expect frequent changes in features and public APIs that may break your own code. Nevertheless, feedback as well as feature requests are highly welcome.
        
        
        Target audience
        ---------------
        
        The trepr package addresses scientists working with TREPR data (both, measured and calculated) on a daily base and concerned with `reproducibility <https://www.reproducible-research.de/>`_. Due to being based on the `ASpecD framework <https://www.aspecd.de/>`_, the trepr package ensures reproducibility and---as much as possible---replicability of data processing, starting from recording data and ending with their final (graphical) representation, e.g., in a peer-reviewed publication. This is achieved by automatically creating a gap-less record of each operation performed on your data. If you do care about reproducibility and are looking for a system that helps you to achieve this goal, the trepr package may well be interesting for you.
        
        
        Related projects
        ----------------
        
        There is a number of related packages users of the trepr package may well be interested in, as they have a similar scope, focussing on spectroscopy and reproducible research.
        
        * `ASpecD <https://docs.aspecd.de/>`_
        
          A Python framework for the analysis of spectroscopic data focussing on reproducibility and good scientific practice. The framework the trepr package is based on, developed by T. Biskup.
        
        * `cwepr <https://docs.cwepr.de/>`_
        
          Package for processing and analysing continuous-wave electron paramagnetic resonance (cw-EPR) data, originally implemented by P. Kirchner, currently developed and maintained by M. Schröder and T. Biskup.
        
        You may as well be interested in the `LabInform project <https://www.labinform.de/>`_ focussing on the necessary more global infrastructure in a laboratory/scientific workgroup interested in more `reproducible research <https://www.reproducible-research.de/>`_. In short, LabInform is "The Open-Source Laboratory Information System".
        
        Finally, don't forget to check out the website on `reproducible research <https://www.reproducible-research.de/>`_ covering in more general terms aspects of reproducible research and good scientific practice.
        
        
        Installation
        ------------
        
        Install the package by running::
        
            pip install trepr
        
        
        License
        -------
        
        This program is free software: you can redistribute it and/or modify it under the terms of the **BSD License**.
        
Keywords: spectroscopy,time-resolved electron paramagnetic resonance,trepr,data processing and analysis
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Development Status :: 4 - Beta
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Requires-Python: >=3.5
Description-Content-Type: text/x-rst
Provides-Extra: dev
Provides-Extra: docs
