| Name | yooink JSON |
| Version |
0.1.8
JSON |
| download |
| home_page | None |
| Summary | A package for accessing OOI data via the m2m protocol |
| upload_time | 2024-10-19 18:11:05 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | MIT License Copyright (c) 2024 Waveform Analytics Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
ooi
ocean observatory data
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
beautifulsoup4
munch
numpy
pandas
python_dateutil
pytz
PyYAML
requests
tomlkit
tqdm
xarray
pyarrow
h5py
netcdf4
h5netcdf
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# yooink
A Python package to access Ocean Observatories Initiative (OOI) data via
the m2m (machine to machine) interface. This project has been built with
the help of various tutorials and examples provided by the OOI, most
notably [the python section of their repository](https://github.com/oceanobservatories/ooi-data-explorations/tree/master/python/ooi_data_explorations),
which was written mostly (or entirely) by [Chris Wingard](https://github.com/cwingard) at OOI.
## Quick Setup
You can install this package from [PyPI](https://pypi.org/project/yooink/) using:
```bash
pip install yooink
```
## Usage
For more information about how to install and use yooink, check out the
[yooink documentation site](https://waveform-analytics.github.io/yooink/).
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