Metadata-Version: 2.1
Name: enb
Version: 0.2.3
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/v0.2.2.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
Requires-Dist: pandas
Requires-Dist: ray
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: recordclass
Requires-Dist: sortedcontainers
Requires-Dist: imageio
Requires-Dist: redis
Requires-Dist: sphinx-rtd-theme
Requires-Dist: numpngw

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

`pip install enb`

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

Also take a look at the `templates` and the `plugins` folder for some examples.

You can read the documentation and browse the code at https://miguelinux314.github.io/experiment-notebook.

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

Main developer:
	Miguel Hernández-Cabronero <miguel.hernandez@uab.cat>

Contributors:
	Ester Jara <ester.jara@uab.cat>
	Natàlia Blasco <natalia.blasco@uab.cat>
	Artur Llabrés <artur.llabres@uab.cat>
	Ashwin Kumar Gururajan <ashwin.gururajan@uab.cat>


