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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

s4pa icon s4pa

Simple, Scalable, Script-based, Science Processing (S4P) Archive (S4PA) is a disk-based archiving system for remote sensing data. The tool can be used for new data transfer, data preprocessing, metadata generation, and data archival. Services provided include data access control, data subscription, metadata publication, and data recovery. All data are archived on readily available disk drives, with FTP and HTTP being the primary modes of data access. S4PA includes a graphical user interface for monitoring and re-configuring system operation.

salad icon salad

SALaD (Semi-Automatic Landslide Detection) is a landslide mapping system. SALaD utilizes Object-based Image Analysis and Random Forest to map landslides. It requires optical imagery, a DEM, corner coordinates of a training area, and manually mapped landslides within the training area. The code is built to run primarily on a Linux.

sample_app icon sample_app

The Core Flight System (cFS) Sample App (sample_app)

sample_lib icon sample_lib

The Core Flight System (cFS) Sample Library (sample_lib)

sbn-client icon sbn-client

The Software Bus Network Client (SBNC) enables two-way communication with NASA's core Flight System (cFS) Software Bus and an external application. SBNC implements the Software Bus Network (SBN) communication protocol in a standalone C library.

sc icon sc

The Core Flight System (cFS) Stored Commands (SC) application.

sca icon sca

The Core Flight System (cFS) Stored Command Absolute (SCA) application.

sch icon sch

The Core Flight System (cFS) Scheduler (SCH) application.

sch_lab icon sch_lab

The Core Flight System (cFS) Scheduler Lab App (sch_lab)

scrub icon scrub

SCRUB is a platform for orchestration and aggregation of static code analysis tools.

sgndi icon sgndi

Separable Grid N-Dimensional Interpolator: A multi-dimensional interpolating class with based on 1D interpolation.

sil icon sil

Tools for generating CFS ECI-compatible code from Simulink models

singledop icon singledop

Single Doppler Retrieval Toolkit (SingleDop)

sirs icon sirs

Simple Improved Reference Subtraction (SIRS) is a technique for reducing the read noise of near-infrared array detector systems.

smcpy icon smcpy

Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler

srompy icon srompy

Python module to generate stochastic reduced order models (SROMs)

stereopipeline icon stereopipeline

The NASA Ames Stereo Pipeline is a suite of automated geodesy & stereogrammetry tools designed for processing planetary imagery captured from orbiting and landed robotic explorers on other planets.

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