Metadata-Version: 2.1
Name: opentiva
Version: 1.1.0
Summary: Simulation of target controlled infusions usingpharmacokinetic and pharmacodynamic models.
Author: James Selby
Author-email: opentiva@jpselby.co.uk
License: LICENSE
Project-URL: Documentation, https://opentiva.readthedocs.io
Project-URL: Source, https://github.com/opentiva/opentiva
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
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 :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Description-Content-Type: text/x-rst
License-File: LICENSE

OPENTIVA
========

opentiva is a free and open-source python module that simulates target 
controlled infusions by using mathematical models relating to the 
pharmacokinetic and pharmacodynamic compartment models of drugs used in 
anaesthetic practice. 

Usage examples can be found in the examples directory.

Example web app using the module can be found at 
`opentiva.com <https://opentiva.com>`_

Full documentation can be found `here <https://opentiva.readthedocs.io>`_

Features
--------

- Plasma and effect site targeting
- One, two and three compartment modelling
- Built in Pk/Pd models from a range of drugs
- Tpeak ke0 calcuation
- User defined infusions
- Optional k20 elimination in two compartment modelling
- Customize a range of properties relating to the targetting and maintenance 
  methods

Installation
------------

Install opentiva by running:

    pip install opentiva

Contribute
----------

- Issue Tracker: `github.com/opentiva/opentiva/issues <https://github.com/opentiva/opentiva/issues>`_
- Source Code: `github.com/opentiva/opentiva <https://github.com/opentiva/opentiva>`_

Support
-------

If you are having issues, please let us know via github or 
opentiva@jpselby.co.uk.

Donate
------

Support opentiva by donating to:

- `Buy me a coffee <https://www.buymeacoffee.com/opentiva>`_
- BTC bc1qfxtg5fl900fu000hc5j0yajs9d958s0tcwz6vh 
- ETH 0xeDf7C1fA7b0Ed483e9DA563d05bE58B7fcD57f16

Disclaimer
----------
opentiva is for informational, research and educational purposes only. 
The pharmacokinetic/ pharmacodynamics are all obtained from medical 
literature and infusions resulting from these can vary widely. 
The user assumes all risks from the use of this application for clinical 
purposes.

License
-------

The project is licensed under the MIT license.
