https://github.com/pynbody/tangos

The Agile Numerical Galaxy Organisation System
https://github.com/pynbody/tangos

cosmology python simulation

Last synced: 3 months ago
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The Agile Numerical Galaxy Organisation System

• Host: GitHub
• URL: https://github.com/pynbody/tangos
• Owner: pynbody
• License: bsd-3-clause
• Created: 2017-10-06T10:07:07.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2026-03-06T16:32:01.000Z (4 months ago)
• Last Synced: 2026-03-15T01:21:31.161Z (3 months ago)
• Topics: cosmology, python, simulation
• Language: Python
• Homepage:
• Size: 4.42 MB
• Stars: 22
• Watchers: 4
• Forks: 15
• Open Issues: 32
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

          
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 modular system for Python 3.6+, capable of generating and querying databases. _Tangos_:

 - 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 any 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, thanks to [sqlalchemy](https://www.sqlalchemy.org).

   By default, _tangos_ uses the file-based database [sqlite](https://sqlite.org), but it is also routinely

   tested against the server-based MySQL (from v1.5) and PostgreSQL (from v1.7).

 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).