aospy

Python package for automated analysis and management of gridded climate data

https://github.com/spencerahill/aospy

Science Score: 20.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
    2 of 7 committers (28.6%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (15.6%) to scientific vocabulary

Keywords

climate netcdf python science xarray
Last synced: 5 months ago · JSON representation

Repository

Python package for automated analysis and management of gridded climate data

Basic Info
  • Host: GitHub
  • Owner: spencerahill
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 6.79 MB
Statistics
  • Stars: 85
  • Watchers: 9
  • Forks: 13
  • Open Issues: 74
  • Releases: 0
Topics
climate netcdf python science xarray
Created over 10 years ago · Last pushed over 5 years ago
Metadata Files
Readme License

README.rst

aospy: automated climate data analysis and management
=====================================================

.. image:: https://readthedocs.org/projects/aospy/badge/?version=latest
   :target: http://aospy.readthedocs.io/en/latest/?badge=latest
   :alt: Documentation status
.. image:: https://dev.azure.com/spencerahill/aospy/_apis/build/status/spencerahill.aospy?branchName=master
   :target: https://dev.azure.com/spencerahill/aospy/_build/latest?definitionId=1&branchName=master
   :alt: Azure Pipelines status
.. image:: https://codecov.io/gh/spencerahill/aospy/branch/develop/graph/badge.svg
   :target: https://codecov.io/gh/spencerahill/aospy
   :alt: Codecov status
.. image:: https://zenodo.org/badge/37231620.svg
   :target: https://zenodo.org/badge/latestdoi/37231620
   :alt: Zenodo DOI

aospy is a Python-based tool for automating computations involving
gridded climate data and the management of the results of those
computations.  Use it to accelerate your science by automating your
climate data workflow.

Please visit our documentation for more detailed information: what it
does, how to install, how to use, how it works, etc.:
http://aospy.readthedocs.io

Quickstart
----------

Install via `conda `_ ::

  conda install -c conda-forge aospy

And that's it!  We're also available via pip: ``pip install aospy``.
Then checkout the `official documentation
`_ for instructions on how to get
started.

Troubleshooting
---------------

Questions of any kind are welcome and best placed as `Issues
`_ on our official
`Github repo `_.

Please don't hesitate to ask a question, especially if you're new to
the package and/or Python!  We are eager to help people get started
using aospy.

Copyright and license
---------------------

Copyright 2018, the aospy developers.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

  http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

.. image:: doc/aospy_logo.png
   :alt: aospy logo
   :align: center
   :height: 300px
   :width: 300px
   :name: aospy-logo

Owner

  • Name: Spencer Hill
  • Login: spencerahill
  • Kind: user
  • Location: New York, NY
  • Company: Earth and Atmospheric Sciences, City College of New York

Climate scientist and Assistant professor at CCNY Earth and Atmospheric Sciences

GitHub Events

Total
  • Watch event: 2
  • Fork event: 1
Last Year
  • Watch event: 2
  • Fork event: 1

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 472
  • Total Committers: 7
  • Avg Commits per committer: 67.429
  • Development Distribution Score (DDS): 0.371
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
spencerahill s****l@g****m 297
Spencer Clark s****k@p****u 121
Spencer Hill s****l@a****u 42
Micah Kim m****3@g****m 8
James Doss-Gollin j****n 2
DaCoEx d****x 1
Stickler Bot s****i 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 200
  • Total pull requests: 135
  • Average time to close issues: 5 months
  • Average time to close pull requests: 10 days
  • Total issue authors: 5
  • Total pull request authors: 7
  • Average comments per issue: 3.63
  • Average comments per pull request: 4.63
  • Merged pull requests: 120
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • spencerahill (156)
  • spencerkclark (25)
  • chuaxr (10)
  • jdossgollin (8)
  • micahkim23 (1)
Pull Request Authors
  • spencerahill (65)
  • spencerkclark (54)
  • micahkim23 (8)
  • jdossgollin (5)
  • stickler-ci (1)
  • dacoex (1)
  • sourcery-ai-bot (1)
Top Labels
Issue Labels
Calc (55) IO (38) bug (32) testing (28) discussion (25) data loaders (21) release/packaging (20) low-hanging fruit (17) documentation (17) dates/times (16) main script (16) Region (14) Var (11) utils (9) logging & warnings (8) Run (7) Model (7) Proj (6) parallelized (5) question (4) performance (3) ObjLib (3) config (1)
Pull Request Labels
Calc (6) dates/times (5) bug (4) data loaders (3) documentation (2) IO (2) Run (2) logging & warnings (1) utils (1) testing (1) Model (1)

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 80 last-month
  • Total docker downloads: 35
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 1
    (may contain duplicates)
  • Total versions: 14
  • Total maintainers: 1
pypi.org: aospy

Automated gridded climate data analysis and management

  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 80 Last month
  • Docker Downloads: 35
Rankings
Dependent packages count: 7.4%
Stargazers count: 7.7%
Forks count: 10.6%
Average: 15.6%
Dependent repos count: 22.2%
Downloads: 30.3%
Maintainers (1)
Last synced: 6 months ago
conda-forge.org: aospy

A framework that enables automated calculations using gridded climate data. Following some basic description of where your data lives and defining any functions of variables stored in that data you want to compute, aospy enables you to fire off an arbitrary number of calculations using that data.

  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Stargazers count: 32.3%
Dependent repos count: 34.0%
Forks count: 39.0%
Average: 39.1%
Dependent packages count: 51.2%
Last synced: 6 months ago

Dependencies

doc/environment.yml conda
  • cftime 1.0.0.*
  • dask 1.1.5.*
  • ipython 6.4.0.*
  • matplotlib 2.2.2.*
  • netcdf4 1.4.0.*
  • numpy 1.14.5.*
  • numpydoc 0.8.0.*
  • pandas 0.23.3.*
  • python 3.6.*
  • scipy 1.1.0.*
  • sphinx 1.7.6.*
  • sphinx_rtd_theme
  • xarray 0.11.0.*
setup.py pypi
  • cftime *
  • cloudpickle *
  • dask *
  • distributed *
  • netCDF4 *
  • numpy *
  • pandas *
  • scipy *
  • toolz *
  • xarray *