Skip to main content

persistent, pythonic trees for heterogeneous data

Project description

===========================================================
datreant: persistent, pythonic trees for heterogeneous data
===========================================================

|docs| |build| |cov|

In many fields of science, especially those analyzing experimental or
simulation data, there is often an existing ecosystem of specialized tools and
file formats which new tools must work around, for better or worse.
Furthermore, centralized database solutions may be suboptimal for data
storage for a number of reasons, including insufficient hardware
infrastructure, variety and heterogeneity of raw data, the need for data
portability, etc. This is particularly the case for fields centered around
simulation: simulation systems can vary widely in size, composition, rules,
paramaters, and starting conditions. And with increases in computational power,
it is often necessary to store intermediate results obtained from large amounts
of simulation data so it can be accessed and explored interactively.

These problems make data management difficult, and serve as a barrier to
answering scientific questions. To make things easier, **datreant** is a Python
package that addresses the tedious and time-consuming logistics of intermediate
data storage and retrieval. It solves a boring problem, so we can focus on
interesting ones.

For more information on what **datreant** is and what it does, check out the
`official documentation`_.

.. _`official documentation`: http://datreant.readthedocs.org/

Getting datreant
================
See the `installation instructions`_ for installation details.
The package itself is pure Python.

If you want to work on the code, either for yourself or to contribute back to
the project, clone the repository to your local machine with::

git clone https://github.com/datreant/datreant.core.git

.. _`installation instructions`: http://datreant.readthedocs.org/en/develop/install.html

Contributing
============
This project is still under heavy development, and there are certainly rough
edges and bugs. Issues and pull requests welcome!

Check out our `contributor's guide`_ to learn how to get started with
contributing back.

.. _`contributor's guide`: http://datreant.readthedocs.org/en/develop/contributing.html

.. |docs| image:: https://readthedocs.org/projects/datreant/badge/?version=develop
:alt: Documentation Status
:scale: 100%
:target: http://datreant.readthedocs.org/en/develop/?badge=develop

.. |build| image:: https://travis-ci.org/datreant/datreant.core.svg?branch=develop
:alt: Build Status
:target: https://travis-ci.org/datreant/datreant.core

.. |cov| image:: http://codecov.io/github/datreant/datreant.core/coverage.svg?branch=develop
:alt: Code Coverage
:scale: 100%
:target: http://codecov.io/github/datreant/datreant.core?branch=develop

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

datreant.core-0.6.0.tar.gz (37.8 kB view details)

Uploaded Source

Built Distribution

datreant.core-0.6.0-py2.py3-none-any.whl (48.1 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file datreant.core-0.6.0.tar.gz.

File metadata

File hashes

Hashes for datreant.core-0.6.0.tar.gz
Algorithm Hash digest
SHA256 021e2d41df774fe30a8414e383aaecde4714a95c56dbc112f5f77d97441a443b
MD5 0789978ccac2ca2d8a08a80db9dfcdeb
BLAKE2b-256 4a8a157b07dd9b548dc9b0201b4963287d992e7aae28f1a37d9955117ac74b8c

See more details on using hashes here.

File details

Details for the file datreant.core-0.6.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for datreant.core-0.6.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 f9cae7584d63fb298f1df634b5412c690bb182a50ef69458ec346dcaa242350f
MD5 a6d6638134087f707b10afeba6ac20a6
BLAKE2b-256 a6c1ed1907c5ea37d45702642aa72d715ad3ff51078e7126be949ea90d905a2a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page