resokit 1.0.5.post1
Miscellaneous tools for the analysis of planetary systems.
License: MIT
Keywords: resokit, planetary systems, resonances, databases

# Welcome to **ResoKit**

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**ResoKit** is a toolkit package for easy exoplanetary databases access, and the analysis and diagnostics of resonances in n-body planetary systems.

## Motivation
Given the vast number of exoplanetary systems surveyed, and the expectation of many more to come, we believe it is essential to have a tool capable of processing and providing valuable insights from such a large volume of observational data. Two prominent sources of this data are the [NASA Exoplanet Archive](https://exoplanetarchive.ipac.caltech.edu/) and the [Encyclopaedia of exoplanetary systems](https://exoplanet.eu/home/).

## Features
The two main currently ResoKit applications involve the manipulation of data:

- Exoplaneteary Datasets (including downloading, re-loading and updating) obtained from [NASA Exoplanet Archive](https://exoplanetarchive.ipac.caltech.edu/) or the [Encyclopaedia of exoplanetary systems](https://exoplanet.eu/home/).

- Exoplanetary Systems created within the context of the datasets.

## Examples
Some `notebook` format tutorials can be found at in the [tutorials](./docs/source/tutorials/) directory.

More information available in the [documentation](https://resokit.readthedocs.io/en/latest/).


## Future

The implementation of tools for analizyng standard n-body simulations output
(and the Mean Movement Resonacnes involved) is still under development, but will be the next feature of ResoKit.

Stay tuned for updates!

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## Requirements

You need Python `3.10`, or greater to run ResoKit.

### Standard Installation

You could find **ResoKit** at PyPI. The standard installation via pip:

```bash
$ python -m pip install resokit
```

#### Extra dependencies

If query online database features will be used with the [Encyclopaedia of exoplanetary systems](https://exoplanet.eu/home/) dataset, package [astropy](https://pypi.org/project/astropy/) is needed.

You can install all extra ResoKit requirements via pip:

```bash
$ python -m pip install resokit[all]
```

### Development Install

Clone this repo and then inside the local directory execute

```bash
$ git clone https://github.com/gianuzzi/resokit.git
$ cd resokit
$ python -m pip install -e .
```

## Authors
- Emmanuel Gianuzzi [egianuzzi@unc.edu.ar](egianuzzi@unc.edu.ar) ([IATE-OAC-CONICET][], [FaMAF-UNC][]).
- Matías Cerioni [matias.cerioni@unc.edu.ar](matias.cerioni@unc.edu.ar) ([IATE-OAC-CONICET][]).



  [IATE-OAC-CONICET]: http://iate.oac.uncor.edu/
  [OAC-CONICET]: https://oac.unc.edu.ar/
  [FaMAF-UNC]: https://www.famaf.unc.edu.ar/