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Scripts for wind resource data processing.

Project description

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The brightwind python library aims to empower wind resource analysts and establish a common industry standard toolset.


Documentation on how to get setup and use the library can be found at

Example usage is shown below via a Jupyter Notebook.

demo_image_1 demo_image_2


The library provides wind analysts with easy to use tools for working with meteorological data. It supports loading of meteorological data, averaging, filtering, plotting, correlations, shear analysis, long term adjustments, etc. The library can export a resulting long term adjusted tab file to be used in other software.


The key benefits to an open-source library is that it provides complete transparency and traceability. Anyone in the industry can review any part of the code and suggest changes, thus creating a standardised, validated toolkit for the industry.

By default, during an assessment every manipulation or adjustment made to the wind data is contained in a single file. This can easily be reviewed and checked by internal reviewers or, as the underlying code is open-sourced, there is no reason why this file cannot be sent to 3rd parties for review thus increasing the effectiveness of a banks due diligence.


The library is licensed under the MIT license.


The library can be installed by using pip install from the command line (for those that have pip installed).

C:\Users\Stephen> pip install brightwind

For those that do not already have Python or pip, please follow this tutorial, getting started on Windows, to get set up.

Test datasets

A test dataset is included in this repository and is used to test functions in the code. The source of the dataset is:

Dataset Source Notes
Demo data Anonymous A modified 2 year met mast dataset in various logger formats along with associated 18-yr MERRA-2 data.


If you wish to be involved or find out more please contact

More information can be found in the section of the website.

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