ClimateTriage - Impactful open source contributions

Search, download or stream NASA Earth science data with just a few lines of code.

Fighting global poverty with the help of everyday people and your coding skills.

A platform to build useful communities that aim to tackle social and environmenta problems.

Developed collaboratively and mostly reusing existing open-source components, VEDA consolidates GIS delivery mechanisms, processing platforms, analysis services, and visualization tools and provides an ecosystem of open tools for addressing Earth science research and application needs through the public-facing VEDA Dashboard.

A modular open source multi-regional model incorporating the economy, the climate system and a detailed representation of the energy sector.

A Python library for reading and manipulating meteorological remote sensing data and writing it to various image and data file formats.

A remote-sensing opensource Python library reading optical and SAR constellations, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.

Provides intuitive programming libraries to process a wide variety of earth observation datasets.

A collection of Python utilities for retrieving atmospheric and oceanic data from remote sources, focusing on being able to retrieve data from Unidata data technologies.

Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.

A Python package that provides a simple way to use nighttime lights data from NASA's Black Marble project that provides a product suite of daily, monthly and yearly global nighttime lights.

An R binding package for calling Google Earth Engine API from within R.

Data Analysis and Visualization in R for Ecologists.

Gives you an easy way to access products from more than 10 earth observation providers, with more than 50 different product types (Sentinel 1, Sentinel 2, Sentinel 3, Landsat, etc.) that can be searched and downloaded.

An open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun.