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Cartopedia: The Ultimate World Reference Atlas; Celestia; Google Earth - (proprietary license); Gravit - a free (GPL) Newtonian gravity simulator; KGeography; KStars; NASA World Wind - free software (NASA open source)
The NASA Open Source Agreement (NOSA) is an Open Source Initiative-approved software license. The United States National Aeronautics and Space Administration (NASA) releases some software (such as NASA World Wind and FRET ) under this license.
Space Systems Engineering Website The Space Systems Engineering Website is a free, six-week, online course that allows students to work and learn with NASA's engineers. [13] Course materials will always be accessible and students are able to use the learned resources in any way they please. Virginia Aerospace Science and Technology Program The ...
Formal Requirements Elicitation Tool (FRET) is a requirements engineering tool. It was developed by the NASA Ames Research Center to specify complex safety-critical systems whose failure could result in loss of life, significant property damage, or environmental harm. [3] FRET is open-source software released under the NASA Open Source ...
Finite element software for structural, geotechnical, heat transfer and seepage analysis: Intuition Software: 5.11: 2016-01: Proprietary software: Free educational version available [17] Mac OS X, Windows: JCMsuite: Finite element software for the analysis of electromagnetic waves, elasticity and heat conduction: JCMwave GmbH: 5.4.3: 2023-03-09 ...
Listed here are software packages useful for conducting scientific research in astronomy, and for seeing, exploring, and learning about the data used in astronomy. Package Name Pro
The Power of 10 Rules were created in 2006 by Gerard J. Holzmann of the NASA/JPL Laboratory for Reliable Software. [1] The rules are intended to eliminate certain C coding practices which make code difficult to review or statically analyze.
The original inventors of SHINE are Mark L. James and David J. Atkinson. SHINE is an expert system and inference engine based upon the experience, requirements and technology that were collected by the Artificial Intelligence Research group at NASA/JPL in developing expert systems for the diagnosis of spacecraft health. [1]