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Library for fetching and converting weather data to power systems data

Project description


PyPI version Conda version Documentation Status ci codecov standard-readme compliant GPL-3-or-later-image reuse Code style: black status joss

Atlite is a free software, xarray-based Python library for converting weather data (like wind speeds, solar influx) into energy systems data. It has a lightweight design and works with big weather datasets while keeping the resource requirements especially on CPU and RAM resources low.

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.


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.


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

conda install -c conda-forge atlite

with pip from pypi

pip install atlite

to install the most recent upstream version from GitHub

pip install git+


Please check the documentation.


If you have any ideas, suggestions or encounter problems, feel invited to file issues or make pull requests.



This work is licensed under multiple licences:

  • All original source code is licensed under GPL-3.0-or-later.
  • 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.

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