This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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Project Description

Sefara is a Python library for managing your datasets. It provides a way to specify once what your datasets are (usually fileystem paths) and any metadata (e.g. which experiment they came from), then refer to them conveniently in analysis scripts and notebooks.

Sefara doesn’t assume anything about what your datasets are, what format they’re in, or are how they are accessed.

Quick example

Define a “resource collection” by making a file like this, which we’ll call

from sefara import export

    tags=["first", "important"],
    tags=["second", "unimportant"],

Then, use Sefara to open it in Python:

>>> import sefara
>>> datasets = sefara.load("")
>>> print(datasets.filter("tags.important")[0].path)


Available at:


pip install sefara

To run the tests:


To build the documentation:

pip install -e .
pip install Sphinx
cd docs
make clean setup rst html

The docs will be written to the _build/html directory.

Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
sefara-0.2.1.tar.gz (18.5 kB) Copy SHA256 Checksum SHA256 Source Jul 6, 2015

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