Contributors: Martin Durant

Name: Martin Durant
Login: https://github.com/
Email: [email protected]
OST Projects: 2
Languages: Python
Categories: Climate Change
Sub Categories: Climate Data Standards
Topics: geographic-data, rendering, volume, intake, opendap, siphon, thredds-catalogs, compressed, ndimensional-arrays, zarr, data-engineering, etl, data-access, data-catalog, anaconda, anaconda-distribution, ide, language-server-protocol, qt, spyder, winpython, pydata, cublas, cudnn, cupy, curand, cusolver, cusparse, cusparselt, cutensor, nccl, nvrtc, nvtx, rocm, tensor, streaming-data, cookies, forhumans, humans, python-requests, requests, distributed-computing

Contributed Projects

Zarr

Provides an efficient, scalable, and flexible way to store and access large, multi-dimensional arrays, the core data format used in climate models and observational datasets.

compressed ndimensional-arrays python zarr

Climate Change - Climate Data Standards - Last synced: 16 Jun 2025 - Ranking: 28.0

kerchunk

A library that provides a unified way to represent a variety of chunked, compressed data formats (e.g. NetCDF, HDF5, GRIB), allowing efficient access to the data from traditional file systems or cloud object storage.

hacktoberfest python

Climate Change - Climate Data Standards - Last synced: 16 Jun 2025 - Ranking: 21.1