atlite

atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series - Published in JOSS (2021)

https://github.com/pypsa/atlite

Science Score: 100.0%

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

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
✓
DOI references
Found 4 DOI reference(s) in README and JOSS metadata
✓
Academic publication links
Links to: joss.theoj.org
✓
Committers with academic emails
5 of 39 committers (12.8%) from academic institutions
○
Institutional organization owner
✓
JOSS paper metadata
Published in Journal of Open Source Software

Keywords

csp dynamic-line-rating energy energy-system energy-systems era5 gis heat-pump potentials pv python reanalysis renewable-energy renewable-timeseries solar wind

Keywords from Contributors

optimisation cbc cplex glpk gurobi linear-optimisation linear-optimization xpress geoscience mesh

Scientific Fields

Political Science Social Sciences - 90% confidence

Last synced: 4 months ago · JSON representation ·

Repository

atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series

Basic Info

Host: GitHub
Owner: PyPSA
License: mit
Language: Python
Default Branch: master
Homepage: https://atlite.readthedocs.io
Size: 17.5 MB

Statistics

Stars: 330
Watchers: 13
Forks: 113
Open Issues: 47
Releases: 16

Topics

csp dynamic-line-rating energy energy-system energy-systems era5 gis heat-pump potentials pv python reanalysis renewable-energy renewable-timeseries solar wind

Created about 9 years ago · Last pushed 5 months ago

Metadata Files

Readme Contributing License Citation Authors

README.rst

  .. SPDX-FileCopyrightText: Contributors to atlite 

  .. SPDX-License-Identifier: CC-BY-4.0

======
atlite
======

|PyPI version| |Conda version| |Documentation Status| |ci| |codecov| |standard-readme compliant| |MIT-image| |reuse| |black| |pre-commit.ci| |joss| |discord| |stackoverflow|

atlite is a `free software`_, `xarray`_-based Python library for
converting weather data (like wind speeds, solar influx) into energy systems data.
It is designed to be lightweight, keeping computing resource requirements (CPU, RAM) usage low.
It is therefore well suited to be used with big weather datasets.

atlite can process the following weather data fields and can convert them into following power-system relevant time series for any subsets of a full weather database.

.. image:: doc/workflow_chart.png

atlite was initially developed by the `Renewable Energy Group
`_
at `FIAS `_ to carry out simulations
for the `CoNDyNet project `_, financed by the
`German Federal Ministry for Education and Research (BMBF)
`_ as part of the `Stromnetze
Research Initiative
`_.


With `atlite` we want to provide an interface between the meteorological and energy systems modelling communities.

Traditionally the MET and ESM communities have not been interacting much.
The outputs and learning of one community were only slowly adapted into the other community.

With `atlite` we want bridge between the communities:
We want to make it easy to use and integrate outputs of the MET communities into energy system models, by offering standardized ways of accessing weather/climate datasets and converting them to weather-dependent inputs for ESMs.

For major next development goals, consult our `vision and roadmap project `_ or check our list of possible `enhancements `_.

Installation
============

To install you need a working installation running Python 3.6 or above
and we strongly recommend using either miniconda or anaconda for package
management.

To install the current stable version:

with ``conda`` from `conda-forge`_

.. code:: shell

       conda install -c conda-forge atlite

with ``pip`` from `pypi`_

.. code:: shell

       pip install atlite

to install the most recent upstream version from GitHub

.. code:: shell

       pip install git+https://github.com/pypsa/atlite.git


Documentation
===============

Please check the `documentation `_.


Support & Contributing
======================
* In case of code-related **questions**, please post on `stack overflow `_.
* For non-programming related and more general questions please refer to the `pypsa mailing list `_.
* To **discuss** with other PyPSA and atlite users, organise projects, share news, and get in touch with the community you can use the `discord server `_.
* For **bugs and feature requests**, please use the `issue tracker `_.
* We strongly welcome anyone interested in providing **contributions** to this project. If you have any ideas, suggestions or encounter problems, feel invited to file issues or make pull requests on the `Github repository `_.

Authors and Copyright
---------------------

Copyright (C) Contributors to atlite 

See the `AUTHORS`_ for details.

Licence
=======

|MIT-image|

This work is licensed under multiple licences:

-  All original source code is licensed under `MIT`_
-  Auxiliary code from SPHINX is licensed under `BSD-2-Clause`_.
-  The documentation is licensed under `CC-BY-4.0`_.
-  Configuration and data files are mostly licensed under `CC0-1.0`_.

See the individual files for license details.

.. _free software: http://www.gnu.org/philosophy/free-sw.en.html
.. _xarray: http://xarray.pydata.org/en/stable/

.. _conda-forge: https://anaconda.org/conda-forge/atlite
.. _pypi: https://pypi.org/project/atlite/%3E
.. _GitHub: https://github.com/pypsa/atlite

.. _documentation on getting started: https://atlite.readthedocs.io/en/latest/getting-started.html

.. _AUTHORS: AUTHORS.rst

.. _MIT: LICENSES/MIT.txt
.. _BSD-2-Clause: LICENSES/BSD-2-Clause.txt
.. _CC-BY-4.0: LICENSES/CC-BY-4.0.txt
.. _CC0-1.0: LICENSES/CC0-1.0.txt

.. |PyPI version| image:: https://img.shields.io/pypi/v/atlite.svg
   :target: https://pypi.python.org/pypi/atlite
.. |Conda version| image:: https://img.shields.io/conda/vn/conda-forge/atlite.svg
   :target: https://anaconda.org/conda-forge/atlite
.. |Documentation Status| image:: https://readthedocs.org/projects/atlite/badge/?version=master
   :target: https://atlite.readthedocs.io/en/master/?badge=master
.. |standard-readme compliant| image:: https://img.shields.io/badge/readme%20style-standard-brightgreen.svg?style=flat
   :target: https://github.com/RichardLitt/standard-readme
.. |MIT-image| image:: https://img.shields.io/pypi/l/atlite.svg
   :target: LICENSES/MIT.txt
.. |codecov| image:: https://codecov.io/gh/PyPSA/atlite/branch/master/graph/badge.svg?token=TEJ16CMIHJ
   :target: https://codecov.io/gh/PyPSA/atlite
.. |ci| image:: https://github.com/PyPSA/atlite/actions/workflows/test.yaml/badge.svg
   :target: https://github.com/PyPSA/atlite/actions/workflows/test.yaml
.. |reuse| image:: https://api.reuse.software/badge/github.com/pypsa/atlite
   :target: https://api.reuse.software/info/github.com/pypsa/atlite
.. |black| image:: https://img.shields.io/badge/code%20style-black-000000.svg
   :target: https://github.com/psf/black
   :alt: Code style: black
.. |pre-commit.ci| image:: https://results.pre-commit.ci/badge/github/PyPSA/atlite/master.svg
   :target: https://results.pre-commit.ci/latest/github/PyPSA/atlite/master
   :alt: pre-commit.ci status
.. |joss| image:: https://joss.theoj.org/papers/10.21105/joss.03294/status.svg
   :target: https://doi.org/10.21105/joss.03294
.. |discord| image:: https://img.shields.io/discord/911692131440148490?logo=discord
   :target: https://discord.gg/AnuJBk23FU
.. |stackoverflow| image:: https://img.shields.io/stackexchange/stackoverflow/t/pypsa
   :target: https://stackoverflow.com/questions/tagged/pypsa
   :alt: Stackoverflow

Owner

Name: PyPSA
Login: PyPSA
Kind: organization

Website: www.pypsa.org
Repositories: 29
Profile: https://github.com/PyPSA

Python for Power System Analysis

JOSS Publication

atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series

Published

June 24, 2021

DOI

10.21105/joss.03294

Volume 6, Issue 62, Page 3294

Authors

Fabian Hofmann

Frankfurt Institute for Advanced Studies

Johannes Hampp

Center for international Development and Environmental Research, Justus-Liebig University Giessen

Fabian Neumann

Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology (KIT)

Tom Brown

Institute of Energy Technology, Technical University of Berlin

Jonas Hörsch

Climate Analytics gGmbH, Berlin

Editor

Tim Tröndle

Citation (CITATION.cff)

# SPDX-FileCopyrightText: Contributors to atlite <https://github.com/pypsa/atlite>
#
# SPDX-License-Identifier: CC0-1.0

cff-version: 1.2.0
message: "If you use this package, please cite our corresponding paper in JOSS (The Journal of Open Source Software)."
title: "atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series"
journal: The Journal of Open Source Software
doi: "10.21105/joss.03294"
repository: "https://github.com/PyPSA/atlite"
version: "0.2.5"
date-released: "2021-06-24"
license: "MIT"
authors:
  - family-names: "Hofmann"
    given-names: "Fabian"
    orcid: "https://orcid.org/0000-0002-6604-5450"
  - family-names: "Hampp"
    given-names: "Johannes"
    orcid: "https://orcid.org/0000-0002-1776-116X"
  - family-names: "Neumann"
    given-names: "Fabian"
    orcid: "https://orcid.org/0000-0001-8551-1480"
  - family-names: "Brown"
    given-names: "Tom"
    orcid: "https://orcid.org/0000-0001-5898-1911"
  - family-names: "Hörsch"
    given-names: "Jonas"
    orcid: "https://orcid.org/0000-0001-9438-767X"

GitHub Events

Total

Create event: 25
Release event: 2
Issues event: 26
Watch event: 48
Delete event: 22
Issue comment event: 102
Push event: 66
Pull request review comment event: 67
Pull request review event: 78
Pull request event: 87
Fork event: 22

Last Year

Create event: 25
Release event: 2
Issues event: 26
Watch event: 48
Delete event: 22
Issue comment event: 102
Push event: 66
Pull request review comment event: 67
Pull request review event: 78
Pull request event: 87
Fork event: 22

Committers

Last synced: 5 months ago

All Time

Total Commits: 664
Total Committers: 39
Avg Commits per committer: 17.026
Development Distribution Score (DDS): 0.761

Past Year

Commits: 65
Committers: 12
Avg Commits per committer: 5.417
Development Distribution Score (DDS): 0.6

Top Committers

Name	Email	Commits
Jonas Hörsch	h**h@f**e	159
Fabian	f**f@g**e	146
pre-commit-ci[bot]	6****]	86
euronion	4****n	51
Fabian Neumann	f**n@o**e	32
Lukas Trippe	l**p@p**e	31
Parisra	1****a	22
Tom Brown	t**m@n**g	20
LukasFrankenQ	l**n@g**m	14
Markus Schlott	s**t@u**e	11
Max Parzen	m**n@e**k	10
Enrique Lizarraga-Garcia-WALT	e**a@m**m	10
energyls	l**m@o**e	7
davide-f	f**s@g**m	7
David Schlachtberger	s**r@f**e	6
Seth	s**n@g**m	6
calvintr	c**s@a**m	6
Zoltán Marić	5****c	5
Tasqu	t**u@v**i	5
martavp	m**z@g**m	4
Youssef Miftah	m**o@o**r	3
hailiangliu89	h****9	3
Jake Goh	5****y	2
Philipp Glaum	p**m@r**e	2
dependabot[bot]	4****]	2
JuliaSvn	1****n	1
Bryn Pickering	b**g@u**h	1
fabulous	f**s@G**x	1
Leon	5****n	1
Lukas Schirren	l**n@w**e	1
and 9 more...

Committer Domains (Top 20 + Academic)

fias.uni-frankfurt.de: 2 godulas-imac-5.fritz.box: 1 usys.ethz.ch: 1 rwth-aachen.de: 1 outlook.fr: 1 vtt.fi: 1 aol.com: 1 oth-regensburg.de: 1 mckinsey.com: 1 ed.ac.uk: 1 users.fias.science: 1 nworbmot.org: 1 pm.me: 1 outlook.de: 1 gmx.de: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 140
Total pull requests: 386
Average time to close issues: 5 months
Average time to close pull requests: 20 days
Total issue authors: 51
Total pull request authors: 41
Average comments per issue: 2.46
Average comments per pull request: 1.57
Merged pull requests: 317
Bot issues: 1
Bot pull requests: 77

Past Year

Issues: 21
Pull requests: 106
Average time to close issues: 12 days
Average time to close pull requests: 6 days
Issue authors: 18
Pull request authors: 16
Average comments per issue: 1.05
Average comments per pull request: 0.98
Merged pull requests: 72
Bot issues: 1
Bot pull requests: 19

View more stats

Top Authors

Issue Authors

euronion (30)
FabianHofmann (23)
fneum (11)
davide-f (7)
coroa (7)
irm-codebase (4)
kandersolar (4)
pz-max (3)
crvernon (3)
nworbmot (3)
TimFuermann (2)
obeles (2)
lukas-rokka (2)
hailiangliu89 (2)
Irieo (1)

Pull Request Authors

FabianHofmann (75)
pre-commit-ci[bot] (73)
euronion (54)
fneum (44)
lkstrp (38)
coroa (25)
yndevops2 (7)
TimFuermann (6)
dependabot[bot] (4)
pz-max (4)
GohNgeeJuay (4)
ehrenfoss (3)
davide-f (3)
Tasqu (3)
matzech (2)

Top Labels

Issue Labels

type: bug (58) type: enhancement (45) priority: low (14) status: help wanted (13) status: pending (12) status: needs classification (11) priority: medium (9) type: info (5) status: in progress (4) priority: high (4) type: discussion (3) type: maintenance (2) status: wontfix ¯\_[ツ]_/¯ (2)

Pull Request Labels

type: enhancement (9) status: in progress (7) type: bug (4) priority: medium (4) dependencies (4) priority: low (3) priority: high (3) status: help wanted (2) github_actions (1)

Packages

Total packages: 3
Total downloads:
- pypi 2,455 last-month

Total dependent packages: 0
(may contain duplicates)
Total dependent repositories: 18
(may contain duplicates)
Total versions: 53
Total maintainers: 3

pypi.org: atlite

Library for fetching and converting weather data to power systems data

Homepage: https://github.com/PyPSA/atlite
Documentation: https://atlite.readthedocs.io/en/latest/
License: MIT License Copyright (c) Contributors to atlite 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.
Latest release: 0.4.1
published 8 months ago

Versions: 21
Dependent Packages: 0
Dependent Repositories: 15
Downloads: 2,455 Last month

Rankings

Dependent repos count: 3.8%

Stargazers count: 4.7%

Forks count: 5.2%

Average: 6.2%

Dependent packages count: 7.3%

Downloads: 9.9%

Maintainers (3)

fabhof coroa lkstrp

Last synced: 4 months ago

proxy.golang.org: github.com/pypsa/atlite

Documentation: https://pkg.go.dev/github.com/pypsa/atlite#section-documentation
License: mit
Latest release: v0.4.1
published 8 months ago

Versions: 21
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 7.0%

Average: 8.2%

Dependent repos count: 9.3%

Last synced: 4 months ago

conda-forge.org: atlite

Atlite is a free software, xarray-based Python library for converting weather data (such as wind speeds, solar radiation, temperature and runoff) into power systems data (such as wind power, solar power, hydro power and heating demand time series). It is designed to work with big datasets, such as hourly global weather data over several years at spatial resolutions down to e.g. 0.1 x 0.1 degree resolution.

Homepage: https://github.com/PyPSA/atlite
License: GPL-3.0-or-later
Latest release: 0.2.9
published over 3 years ago

Versions: 11
Dependent Packages: 0
Dependent Repositories: 3

Rankings

Dependent repos count: 17.9%

Forks count: 24.0%

Stargazers count: 27.2%

Average: 30.2%

Dependent packages count: 51.5%

Last synced: 4 months ago

Dependencies

setup.py pypi

bottleneck *
cdsapi *
dask >=2021.10.0
geopandas *
netcdf4 *
numexpr *
numpy *
pandas >=0.25
progressbar2 *
pyproj >=2
pyyaml *
rasterio >1.2.10
requests *
scipy *
shapely *
toolz *
tqdm *
xarray >=0.20

.github/workflows/CI.yaml actions

actions/checkout v2 composite
actions/setup-python v1 composite
codecov/codecov-action v1 composite

.github/workflows/deploy.yml actions

actions/checkout master composite
actions/setup-python v1 composite
pypa/gh-action-pypi-publish master composite

pyproject.toml pypi

environment.yaml conda

black
bottleneck
cdsapi
dask >=2021.10.0
geopandas
netcdf4
numexpr
numpy
pandas >=0.25
pip
pre-commit
progressbar2
pyproj >=2.0
pytest
python >=3.6
rasterio !=1.2.10
requests
scipy
shapely
toolz
tqdm
xarray >=0.16.2
yaml

atlite

Science Score: 100.0%

Keywords

Keywords from Contributors

Scientific Fields

Repository

Basic Info

Statistics

Topics

Metadata Files

README.rst

Owner

JOSS Publication

atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series

Authors

Editor

Tags

Citation (CITATION.cff)

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

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Packages

pypi.org: atlite

Rankings

Maintainers (3)

proxy.golang.org: github.com/pypsa/atlite

Rankings

conda-forge.org: atlite

Rankings

Dependencies