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Wind Python Packages

Python packages with the GitHub topic wind. Sorted by monthly downloads, with stars and forks.
wind-python
windpowerlib

The windpowerlib is a library to model the output of wind turbines and farms.

44K 396 113
NLRWindSystems
wisdem

Wind Plant Integrated System Design and Engineering Model

21K 185 107
python-windrose
windrose

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

17K 360 136
PyPSA
atlite

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

6K 407 135
OpenFAST
openfast-io

Main repository for the NLR-supported OpenFAST whole-turbine and FAST.Farm wind farm simulation codes.

1K 981 547
junzis
opentop

easy-peasy optimal flight trajectory

1K 52 11
timcera
mettoolbox

Command line script and Python package for working with meteorological time-series data.

565 6 1
jules-ch
wind-stats

☴ Statistics for your wind power projects

469 13 1
AsobaCloud
odse

ODSE: Open Data Schema for Energy - standardized energy asset data interchange

284 1 0
junzis
openap-top

easy-peasy optimal flight trajectory

279 52 11
QmQsun
wind-mcp

A Model Context Protocol server that gives AI assistants direct access to Wind Financial Terminal (万得) data.

248 5 2
yorfy
windgrib

A Python package for working with GRIB weather data files

193 0 0
vnpy
vnpy-wind

VeighNa框架的万得Wind数据服务接口

152 21 15
IvanVigor
ensemblem

This repository contains an implementation for the Dynamic Weighted Ensemble (DWE) - Local Fusion method. Local Fusion is an ensemble techinque that could be used to improve predictions by weighing appropriately the single models contribution.

103 7 0
calvr
climate-error

Error Metrics for Wind Climates based on Statistical Quantiles and Wasserstein Distances

95 1 0
gpauvert
wp-meteo

Python package to easily load exported WindPRO meteo text files into a pandas DataFrame.

30 1 1
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology