semvec/pypi-packages huggingface dataset:
aiokem 1.1.4
Async API for Kohler Energy Management
License: MIT
Requires Python: >=3.12

# aiokem

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---

**Documentation**: <a href="https://aiokem.readthedocs.io" target="_blank">https://aiokem.readthedocs.io </a>

**Source Code**: <a href="https://github.com/kohlerlibs/aiokem" target="_blank">https://github.com/kohlerlibs/aiokem </a>

---

Async API for Kohler Energy Management

## Installation

Install this via pip (or your favourite package manager):

`pip install aiokem`

## Contributors ✨

Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):

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This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!

## Credits

[![Copier](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/copier-org/copier/master/img/badge/badge-grayscale-inverted-border-orange.json)](https://github.com/copier-org/copier)

This package was created with
[Copier](https://copier.readthedocs.io/) and the
[browniebroke/pypackage-template](https://github.com/browniebroke/pypackage-template)
project template.
skretrieval 2025.6.0
The University of Saskatchewan Retrieval Framework
License: MIT
Requires Python: >=3.11

# The University of Saskatchewan Retrieval Framework
[![Available on pypi](https://img.shields.io/pypi/v/skretrieval.svg)](https://pypi.python.org/pypi/skretrieval/)
[![Documentation Status](https://readthedocs.org/projects/skretrieval/badge/?version=latest)](https://skretrieval.readthedocs.io/en/latest/?badge=latest)
[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/usask-arg/skretrieval/main.svg)](https://results.pre-commit.ci/latest/github/usask-arg/skretrieval/main)

`skretrieval` is an atmospheric retrieval framework developed at the University of Saskatchewan.
It has been successfully used to retrieved atmospheric properties from satellite instruments such as OSIRIS
and OMPS-LP, as well as numerous.  At it's core, `skretrieval` is an optimal estimation framework built around
the [SASKTRAN Radiative Transfer Model](https://github.com/usask-arg/sasktran).  Future versions of the framework
are being developed around [Version 2 of the SASKTRAN Model](https://github.com/usask-arg/sasktran2).

## Installation
```
pip install skretrieval
```
The package is tested on Python versions >= 3.11, on Windows/Linux/MacOS platforms.

## Usage
Documentation can be found at https://skretrieval.readthedocs.io/

## License
skretrieval is made available under the MIT license.