nasa Goto Github PK

Name: NASA

Type: Organization

Bio: ReadOpen Data initiative here: https://www.nasa.gov/open/ & Instructions here: https://github.com/nasa/nasa.github.io/blob/master/docs/INSTRUCTIONS.md

Location: United States of America

Blog: https://github.com/nasa/nasa.github.io/blob/master/docs/INSTRUCTIONS.md

Hi 👋, welcome to the NASA org on github.com!

Github.com/nasa has one of the largest collections of NASA open-source code repositories. Members of the NASA org can find instructions for github.com/nasa in http://nasa.github.io/.

🔭 Additional open-source code repositories resides in a variety of locations other than github.com/nasa. To discover code across all of these locations, we suggest you use code.nasa.gov & software.nasa.gov. These are two different sites holding metadata that describe code projects. Any code released through the NASA Software Release Authority process should be cataloged on those sites.

`Code.nasa.gov` —

Is a page with short descriptions of all of NASA's open-source code. Code.nasa.gov feeds into code.gov, which covers open-source and government-source code from many different U.S. governmental agencies. To assist in discovery, code projects described on code.nasa.gov have both human and A.I.-generated tags. These can be useful for finding related code projects.

`software.nasa.gov` —

Contains metadata descriptions for all code projects in code.nasa.gov as well as government-source code projects only sharable with other government agencies. It is part of the large https://technology.nasa.gov/ that also includes patents and spinoffs. To help discoverability, software.nasa.gov puts each code project into one fo the following categories: Business Systems and Project Management, System Testing, Operations, Design and Integration Tools, Vehicle Management (Space/Air/Ground), Data Servers Processing and Handling, Propulsion, Structures and Mechanisms, Crew and Life Support, Data and Image Processing, Materials and Processes, Electronics and Electrical Power, Environmental Science (Earth, Air, Space, Exoplanet), Autonomous Systems, and Aeronautics.

NOTE - PROFILE READMES CURRENTLY DON'T WORK FOR ORG PROFILES ONLY USER PROFILES :(

https://github.community/t/readme-for-organization-front-page/2920

NASA's Projects

gtm_designsim

gunns

The NASA General-Use Nodal Network Solver (GUNNS) software

harmony

Application for providing services for Earth observation data in the cloud using standards-based APIs

harmony-dttb

Runs lambda functions against all current and future data in an S3 bucket with optional prefix

harmony-gdal-adapter

Translates Harmony service requests into gdal transformations

harmony-netcdf-to-zarr

Service for transforming NetCDF4 files into Zarr files within Harmony. https://github.com/nasa/harmony

harmony-py

Python client library for working with NASA’s Earth observing system data using Harmony. https://harmony.earthdata.nasa.gov

harmony-qgis

QGIS plugin for working with NASA’s Earth observing system data using Harmony. https://harmony.earthdata.nasa.gov

harmony-regression-tests

harmony-service-example

Example service implementation for subsetting and reprojecting L3 data using Harmony. https://github.com/nasa/harmony

harmony-service-lib-py

Python library to simplify adapting transformation services for use in Harmony https://github.com/nasa/harmony

hdtn

High-rate Delay Tolerant Network (HDTN) Software

hdtn-bpcodec

hecc-data

HECC Data

hk

The Core Flight System (cFS) Housekeeping (HK) application.

hs

The Core Flight System (cFS) Health and Safety (HS) application.

hybridq

HybridQ is a highly extensible platform designed to provide a common framework to integrate multiple state-of-the-art techniques to simulate large scale quantum circuits on a variety of hardware. HybridQ provides tools to manipulate, develop, and extend noiseless and noisy circuits for different hardware architectures. HybridQ also supports large-scale high-performance computing (HPC) simulations, automatically balancing workload among different processor nodes and enabling the use of multiple backends to maximize parallel efficiency. Everything is then glued together by a simple and expressive language that allows seamless switching from one technique to another as well as from one hardware to the next, without the need to write lengthy translations, thus greatly simplifying the development of new hybrid algorithms and techniques.

hyperinspace

icarous

ICAROUS is a software architecture for the development of UAS applications

icc

This three-year project, funded by SSTP and in collaboration with Colorado School of Mines, develops efficient algorithms for communication-aware orbit optimization for multi-spacecraft systems around small bodies. The software release has been approved by the JPL SRA, Brian Morrison (NTR-51071).

nasa Goto Github PK

Code.nasa.gov —

software.nasa.gov —

NOTE - PROFILE READMES CURRENTLY DON'T WORK FOR ORG PROFILES ONLY USER PROFILES :(

NASA's Projects

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`Code.nasa.gov` —

`software.nasa.gov` —