Metadata-Version: 2.1
Name: tangos
Version: 1.5.0
Summary: TANGOS, the agile numerical galaxy organisation system
Home-page: UNKNOWN
Author: Andrew Pontzen
Author-email: a.pontzen@ucl.ac.uk
License: BSD
Description: Tangos - The agile numerical galaxy organisation system
        -------------------------------------------------------
        
        [![Build Status](https://github.com/pynbody/tangos/actions/workflows/build-test.yaml/badge.svg?branch=master)](https://github.com/pynbody/tangos/actions) [![DOI](https://zenodo.org/badge/105990932.svg)](https://zenodo.org/badge/latestdoi/105990932)
        
        _Tangos_ lets you build a database (along the lines of [Eagle](http://icc.dur.ac.uk/Eagle/database.php) 
        or [MultiDark](https://www.cosmosim.org/cms/documentation/projects/multidark-bolshoi-project/))
         for your own cosmological and zoom simulations. 
         
        It's a python 2.7/3.5+ modular system for generating and querying databases 
        and:
        
         - is designed to store and manage results from your own analysis code;
         - provides web and python interfaces;
         - allows users to construct science-focussed queries, including across entire merger trees, 
           without requiring knowledge of SQL;
           
        When building databases, _tangos_:   
        
         - manages the process of populating the database with science data, including auto-parallelising
           your analysis;
         - can be customised to work with multiple python modules such as 
           [pynbody](http://pynbody.github.io/pynbody/) or [yt](http://yt-project.org) to 
           process raw simulation data;
         - can use your favourite database as the underlying store 
           (by default, [sqlite](https://sqlite.org)), thanks to [sqlalchemy](https://www.sqlalchemy.org).
        
         
         Getting started
         ---------------
         
         For information on getting started refer to the [tutorials on our github pages](https://pynbody.github.io/tangos/).
         These tutorials are also available in markdown format [within the tangos repository](docs/index.md).
         
         
        Acknowledging the code
        ----------------------
        When using _tangos_, please acknowledge it by citing the release paper:
        Pontzen & Tremmel, 2018, ApJS 237, 2. [DOI 10.3847/1538-4365/aac832](https://doi.org/10.3847/1538-4365/aac832);  [arXiv:1803.00010](https://arxiv.org/pdf/1803.00010.pdf). Optionally you can also cite the Zenodo DOI for the specific version of _tangos_ that you are using, which may be found [here](https://doi.org/10.5281/zenodo.1243070).
        
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: BSD License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
