Metadata-Version: 2.1
Name: fluo
Version: 1.1
Summary: Fluorescence in time domain toolkit.
Home-page: https://github.com/AnnaChmielinska/fluo
Author: Anna Chmielinska
Author-email: anka.chmielinska@gmail.com
License: General Public License 3
Download-URL: https://github.com/AnnaChmielinska/fluo/archive/1.1.tar.gz
Platform: UNKNOWN
License-File: LICENSE
Requires-Dist: matplotlib (<3.4.3,>=3.4.2)
Requires-Dist: lmfit (<1.0.3,>=1.0.2)
Requires-Dist: numdifftools (<0.9.41,>=0.9.40)
Requires-Dist: scipy (<1.7.1,>=1.7.0)
Requires-Dist: numpy (<1.21.1,>=1.21.0)
Requires-Dist: tqdm (<4.15.1,>=4.15.0)
Requires-Dist: importlib-metadata (<4.5.1,>=4.5.0)

====
fluo
====

**fluo** is a set of tools for analysis of fluorescence measurements in
time-domain mode.

:Author: Anna Chmielińska, <anka.chmielinska@gmail.com>.


Installation
============

* Via `pip`::

    python3 -m pip install fluo

* Via `setuptools`::

    python3 setup.py install

fluo requires installation of the following software:

* python >= 3.6
* importlib_metadata = 4.15.0
* tqdm = 4.15.0
* numpy = 1.13.1
* matplotlib = 3.4.2
* scipy = 1.7.0
* numdifftools = 0.9.40
* lmfit = 1.0.2


Usage
=====

**fluo** bundles python objects for construction of models and fitting them to
measured data. Check out workflow examples in `examples` folder. In order to
display graphs with matplotlib you need to install GUI backend (f. e. `tkinter`)
with the OS packaging manger
(more info `here <https://matplotlib.org/stable/tutorials/introductory/usage.html#what-is-a-backend>`_).


