2 projects
Earth Science Data Processing Libraries
Libraries for processing, analyzing, and visualizing meteorological, oceanographic, and other Earth science data formats such as NetCDF and GRIB. These tools enable scientists to work with complex geophysical datasets for climate research, weather analysis, and environmental monitoring.
2,962 contributors
$6.5M
Most contributors
xarray
Xarray is a Python library that introduces labeled arrays and datasets, extending NumPy's capabilities by adding coordinates, dimensions, and attributes to N-dimensional arrays. It enables working with multi-dimensional data by providing data structures and operations for labeled arrays, making it particularly useful for scientific computing and analysis of structured data like climate and weather data.
Contributors
2,962
Organizations
700
Software value
$6.5M
SciTools Iris: Earth Science Data Analysis and Visualization
A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
This project hasn't been onboarded to LFX Insights.