Metadata-Version: 2.1
Name: enb
Version: 0.2.7
Summary: Library to gather and disseminate computer-based experimental results.
Home-page: https://github.com/miguelinux314/experiment-notebook
Author: Miguel Hernandez Cabronero (Universitat Autònoma de Barcelona)
Author-email: miguel.hernandez@uab.cat
License: MIT
Download-URL: https://github.com/miguelinux314/experiment-notebook/archive/v0.2.7.tar.gz
Platform: any
Classifier: Programming Language :: Python
Classifier: Development Status :: 4 - Beta
Classifier: Natural Language :: English
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
License-File: LICENSE.txt
Requires-Dist: wheel
Requires-Dist: deprecation
Requires-Dist: pandas
Requires-Dist: psutil
Requires-Dist: ray[default]
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: recordclass
Requires-Dist: sortedcontainers
Requires-Dist: imageio
Requires-Dist: redis
Requires-Dist: sphinx-rtd-theme
Requires-Dist: numpngw
Requires-Dist: astropy

# Experiment Notebook
Python library to design, run and plot experiments.

Ideal for cases where:

	- multiple inputs need to be processed by one or more customizable tasks, producing a table of data
	- one wants to apply custom code to existing data to produce new columns
	- analysis tables and plots are needed for one or more data columns

## Installation

On most Linux distributions, you can simply run

	`pip install enb`

On Windows, you may encounter a dependency problem with the `ray` library. To solve it, install `ray` manually (https://docs.ray.io/en/master/installation.html) and then run `pip install enb` normally.

## Documentation

A [user manual](https://miguelinux314.github.io/experiment-notebook) is available that explains the basics and introduces some ready-to-adapt experiment examples.

You can also take a look at the `templates/` and `plugins/` code folders for some useful examples.


You are welcome to submit your extensions via a pull request to the `dev` branch.

See [CHANGELOG.md](https://github.com/miguelinux314/experiment-notebook/blob/master/CHANGELOG.md)
for a summary of changes compared to recent versions.


