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

plexil5

PLEXIL5 is a Formal Verification Environment for PLEXIL

plot3d_utilities

A Python library for reading, writing, finding connectivity for plot3d files

podaac_tools_and_services

A meta-repository which essentially lists code related to all tools and services software for NASA JPL's PO.DAAC

podaacpy

A python utility library for interacting with NASA JPL's PO.DAAC

pods

Portable Distributed Scripts. Portable Distributed Scripts (PoDS) is a Python application that allows users to execute serial independent tasks concurrently across nodes on multicore clusters. The package consists of a set of scripts working together through a simple text-based interface. A user only needs to provide minimal information to perform the desired tasks.

pointcloudsvr

polycarp

polyfit

practical-micromechanics

precisa

Program Round-off Error Certifier via Static Analysis

pretrained-microscopy-models

prog_algs

The Prognostic Algorithm Package is a python framework for model-based prognostics (computation of remaining useful life) of engineering systems, and provides a set of algorithms for state estimation and prediction, including uncertainty propagation. The algorithms take as inputs prognostic models (from NASA's Prognostics Model Package), and perform estimation and prediction functions. The library allows the rapid development of prognostics solutions for given models of components and systems. Different algorithms can be easily swapped to do comparative studies and evaluations of different algorithms to select the best for the application at hand.

prog_models

The NASA Prognostic Model Package is a Python framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of prognostics models for select components developed within this framework, suitable for use in prognostics applications for these components.

prog_server

The NASA Prognostics As-A-Service (PaaS) Sandbox is a simplified implementation of a Software Oriented Architecture (SOA) for performing prognostics (estimation of time until events and future system states) of engineering systems. The PaaS Sandbox is a wrapper around the Prognostics Algorithms Package and Prognostics Models Package, allowing one or more users to access the features of these packages through a REST API. The package is intended to be used as a research tool to prototype and benchmark Prognostics As-A-Service (PaaS) architectures and work on the challenges facing such architectures, including Generality, Communication, Security, Environmental Complexity, Utility, and Trust.

prognosticsalgorithmlibrary

prognosticsmetricslibrary

prognosticsmodellibrary

progpy

The NASA Prognostic Python Packages is a Python framework focused on defining and building models and algorit for prognostics (computation of remaining useful life) of engineering systems, and provides a set of models and algorithms for select components developed within this framework, suitable for use in prognostic applications.

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` —