This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description

Figure out which files to touch when working with spatiotemporal data.


We have a lot of data that needs to be chunked by primary key, datetime, and space but we don’t want to sort through all of it whenever we just want to look at a small piece. The solution is a sidecar metadata file and a file structure organized as a spatial quadtree that is interacted with via a simple and lightweight NoSQL engine that is aware of these components.

Data is grouped in directories matching quadtree nodes in files that are grouped time and primary key. Managing the actual files is up to the user. This library only knows how to interact with the sidecar files.

We want to have both an API:

import melvil
import datetime

# The base directory, match expression, etc. are all defined in a configfile

# Only process data from the past 30 days that appears in the lower left
# quadrant of the world, as specified by WGS84
max_ts =
min_ts = max_ts - datetime.timedelta(days=30)
bbox = (-180, -90 0, 0)

for fp in, max_ts=max_ts, bbox=bbox):
    with open(fp) as f:
        # Do something

And a CLI:

$ melvil search --min-ts 2014-01-01 --max-ts 2015-01-01 --bbox -180 -90 0 0

Under the hood melvil is looking for


$ git clone
$ cd Dewey
$ virtualenv venv
$ pip install -e .[test]
$ py.test tests --cov melvil --term-missing melvil


See LICENSE.txt.

Release History

Release History


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TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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