semvec/pypi-packages huggingface dataset:
core-permissions 0.3
Research CORE ERM - permissions module
License: MIT

# CORE PERMISSIONS

It is a module of the Research CORE ERM which implements the models related to permissions.


## Installation

```shell script
pip install core-permissions
```

# *Enterprise Resources Management* - Research CORE

CORE is an ERM platform developed in within a research environment and aims to automatize 
internal management processes, like human resources, orders, budgets, suppliers, funds, equipment \rooms accesses and maintenance and publications.

The project is distributed as an open-source project to facilitate the adaptation of the 
ERM to each institution's needs.

![core printscreen](https://github.com/research-core/core-server/raw/master/docs/static/core.png "Core publications printscreen")
void 0.1.3
Void object in Python
License: MIT

## Void
Void object in Python
[pypi](https://pypi.org/project/void/)

## Installation
```shell
pip install void
```

## Example usage
```python
from void import Void

In [1]: Void is Void() is Void.method()
Out[1]: True

In [2]: Void['get']['void'] is Void
Out[2]: True

In [3]: list(Void) or [for x in Void]
Out[3]: []

# set{attr,item} is also supported
```
metricfarmer 0.2.0
Collects and stores metrics for your project.
License: MIT

Metric-Farmer
=============

**Cares about your project metrics**

**Documentation**: https://metricfarmer.readthedocs.io

Metric-Farmer is a Python based command line application to collect and store metrics from different sources
to different targets.

It is designed to easily create and maintain complex metric measurements and to painless integrate its functions into
continuous integration systems (CI/CD) or local task executions (cron jobs).

The configuration is completely done by JSON-based ``farm``-files in a project folder called ``.farmer``.
And no development skills are needed to use Metric-Farmer.

Developers can easily create own Metric-Farmer extensions to provide custom solutions for sources and targets.
For instance to measure a company-internal service.

Features
---------
Metric-Farmer is capable to collect metrics from following sources:

* static values
* random values
* file count
* REST requests (E.g. to measure JIRA or GitHub)


And sends the results to the following targets:

* print output (text or json)
* file output (text or json)
* database output (sqlite)
lowEBMs 1.0.2
A python implementation of low-dimensional EBMs
License: MIT

This python package is an implementation of low-dimensional energy balance models.

It shall serves as a framework to compile and simulate energy balance models from a collection of parameterizations which describe the energy transport of reduced/simplified earth system.

Models (Parameterizations) implemented are:
-0D energy balance models
-1D energy balance models

The range of applications and features is constantly extended. They focus on:
-Exploration and quantification of parameterizations describing the climate system
-Exploration and quantification of radiative climate forcings 
-Fast and accessible tools to analyze climate system simulations
-Tools for the optimization of parameterizations 

The most implementations are based on the work of former developers of climate models which are tried to be gathered and combined within this package. The central approaches to formulate energy balance models included in this package are based on the publications from Sellers (1969) and Budyko (1968).

A detailed description of the implementations, installation, usage, future plans and further references can be found in the packages documentation.

For more information please see:

https://lowebms.readthedocs.io/en/latest/


You are very welcome to work with this package and extend it to allow an application to anything you are interested.
If you are interested in contributing to this project or have problems with the usage, feel free to contact me:

Benjamin Schmiedel (mail: benny.schmiedel@gmail.com, github-username: BenniSchmiedel)