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A Python library for solution chemistry

Project description


A Python library for solution chemistry

pyEQL is a Python library that provides tools for modeling aqueous electrolyte solutions. It allows the user to manipulate solutions as Python objects, providing methods to populate them with solutes, calculate species-specific properties (such as activity and diffusion coefficients), and retreive bulk properties (such as density, conductivity, or volume).

![](pyeql-demo.png) —

pyEQL is designed to be customizable and easy to integrate into projects that require modeling of chemical thermodyanmics of aqueous solutions. It aspires to provide a flexible, extensible framework for the user, with a high level of transparency about data sources and calculation methods.

pyEQL runs on Python 3.0+ and is licensed under LGPL.

Key Features

  • Build accurate solution properties using a minimum of inputs. Just specify the identity and quantity of a solute and pyEQL will do the rest.
  • “Graceful Decay” from more sophisticated, data-intensive modeling approaches to simpler, less accurate ones depending on the amount of data supplied.
  • Not limited to dilute solutions. pyEQL contains out of the box support for the Pitzer Model and other methods for modeling concentrated solutions.
  • Extensible database system that allows one to supplement pyEQL’s default parameters with project-specific data.
  • Units-aware calculations (by means of the [pint]( library)


Detailed documentation is available at <>


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pyEQL-0.4.linux-x86_64.tar.gz (217.2 kB) Copy SHA256 hash SHA256 Source None Jul 15, 2016
pyEQL-0.4.tar.gz (141.2 kB) Copy SHA256 hash SHA256 Source None Jul 15, 2016

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