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[
{
"Update_Date": "2014-04-15",
"Description": "CODE is a framework for the control and observation of resources, services, and applications. The technology supports the secure and scalable transmission of observed information to other programs, and it enables the secure execution of actions on remote computer systems. ",
"Public Code Repo": "https://www.nas.nasa.gov/Resources/Software/Open-Source/code.html",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data Servers Processing and Handling"
],
"Languages": [],
"Software": "CODE-A Software Framework For Control and Observation In Distributed Environments",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:numerical control",
"nlp:distributed processing",
"nlp:information system",
"nlp:operating systems (computers)",
"nlp:data transmission",
"nlp:computer systems design",
"nlp:dynamic control",
"nlp:technology utilization",
"nlp:automatic control",
"nlp:information management"
],
"External Link": "https://software.nasa.gov/software/ARC-14672-1"
},
{
"Update_Date": "2014-04-15",
"Description": "MST offers a simulation framework to support research in autonomy for remote exploration. The system allows developers to test models in a high-fidelity simulation and then evaluate system performance against a set of integrated, standardized simulations.",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/mission-simulation-toolkit/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Autonomous Systems"
],
"Languages": [],
"Software": "Mission Simulation Toolkit (MST)",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:autonomy",
"nlp:mathematical model",
"nlp:distributed processing",
"nlp:computerized simulation",
"nlp:systems simulation",
"nlp:dynamic model",
"nlp:digital simulation",
"nlp:simulation",
"nlp:performance prediction",
"nlp:model"
],
"External Link": "https://software.nasa.gov/software/ARC-14932-1"
},
{
"Update_Date": "2014-04-15",
"Description": "Livingstone 2 is a reusable artificial intelligence (AI) software system designed to assist spacecraft, life support systems, chemical plants, or other complex systems in operating robustly with minimal human supervision, even in the face of hardware failures or unexpected events. The technology diagnoses the current state of a spacecraft or other system and recommends commands or repair actions that will allow the system to continue operations. A re-engineered version of the Livingstone diagnosis system that was flight-tested onboard the Deep Space One spacecraft in 1999, Livingstone 2 contains significant enhancements to robustness, performance, and usability. Skunkworks is a suite of software tools that support the rapid deployment of model-based representations of complex systems for Livingstone2 via a visual model builder/tester and two graphical user interface tools that provide status information during testing.",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/livingstone2/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Autonomous Systems"
],
"Languages": [],
"Software": "Livingstone 2 (System for Automated Diagnosis and Discrete Control of Complex Systems) and Skunkworks (Suite of Supporting Development and Runtime Tools)",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:spacecraft control",
"nlp:complex system",
"nlp:failure analysi",
"nlp:system failure",
"nlp:artificial intelligence",
"nlp:software development tool",
"nlp:life support system",
"nlp:human-computer interface"
],
"External Link": "https://software.nasa.gov/software/ARC-14725-1"
},
{
"Update_Date": "2014-04-15",
"Description": "Java Pathfinder (JPF) is a model checker for Java. The technology takes a Java program and \"executes\" it in a way that explores all possible executions/interleavings of the threads in the program. This allows JPF to detect certain bugs (e.g., deadlocks and assertion violations) that may be missed during testing. ",
"Public Code Repo": "https://babelfish.arc.nasa.gov/trac/jpf/wiki/install/repositories",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data and Image Processing"
],
"Languages": [],
"Software": "Java Pathfinder (JPF), Version 2.0",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:computation",
"nlp:evaluation",
"nlp:java (programming language)",
"nlp:mathematical model",
"nlp:computerized simulation",
"nlp:software reliability",
"nlp:computer program integrity",
"nlp:program verification (computers)",
"nlp:proving",
"nlp:performance test"
],
"External Link": "https://software.nasa.gov/software/ARC-15388-1"
},
{
"Update_Date": "2014-04-15",
"Description": "CAPO analyzes a Fortran program and inserts OpenMP directives into the code to improve its performance on a parallel machine. The tool relies on accurate inter-procedural data-dependence information currently provided by CAPTools, which was developed at the University of Greenwich.",
"Public Code Repo": "https://software.nasa.gov/software/ARC-14487-1",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data Servers Processing and Handling"
],
"Languages": [],
"Software": "CAPTools-based Automatic Parallelizer Using OpenMP (CAPO)",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:computation",
"nlp:information theory",
"nlp:computerized simulation",
"nlp:software development tool",
"nlp:performance prediction",
"nlp:compiler",
"nlp:symbol",
"nlp:fortran",
"nlp:parallel programming",
"nlp:parallel processing (computers)"
],
"External Link": "https://software.nasa.gov/software/ARC-14487-1"
},
{
"Update_Date": "2014-04-15",
"Description": "SLAB is a software-based, real-time, virtual acoustic-environment rendering system designed to study spatial hearing in environments such as concert halls, listening rooms, virtual reality, aviation spatial information displays, and video game sound effects. ",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/slab-spatial-audio-renderer/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"System Testing"
],
"Languages": [],
"Software": "Sound Lab (SLAB), Version 5",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:real time operation",
"nlp:game theory",
"nlp:interactive control",
"nlp:time dependence",
"nlp:computer graphic",
"nlp:virtual reality",
"nlp:display device",
"nlp:hearing"
],
"External Link": "https://software.nasa.gov/software/ARC-14991-1"
},
{
"Update_Date": "2014-04-15",
"Description": "Libibvpp is a C++ wrapper around libibverbs, which is part of the OpenFabrics software suite.",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/libibvpp/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data and Image Processing"
],
"Languages": [],
"Software": "Libibvpp",
"License": [
"NASA Open Source"
],
"Categories_NLP": [],
"External Link": "https://software.nasa.gov/software/ARC-16075-1"
},
{
"Update_Date": "2020-08-12",
"Description": "Mariana is an algorithm that efficiently optimizes the hyperparameters for support vector machines for regression and classification. It currently uses simulated annealing for optimization but can be extended to use a variety of stochastic optimization techniques, including Markov Chain Monte Carlo, Sequential Monte Carlo, and genetic algorithms. ",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/mariana/",
"NASA Center": "ARC",
"Contributors": [
"N/A",
"arc-sra-team@mail.nasa.gov",
"N/A"
],
"Labor_Hours": 1,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data and Image Processing",
"usg-artificial-intelligence"
],
"Languages": [],
"Software": "Mariana: Text Classification System",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"genetic algorithm",
"regression analysi",
"optimization",
"classification",
"vectors (mathematics)",
"simulated annealing",
"vector analysi",
"combinatorial analysi",
"image classification",
"algorithm"
],
"External Link": "https://software.nasa.gov/software/ARC-16070-1"
},
{
"Update_Date": "2014-04-15",
"Description": "GMP serializes datatypes between XML and ANSI C data structures to support CFD applications. The library currently provides a description of geometric configurations, general moving-body scenarios (prescribed and/or 6-DOF), and control surface settings. ",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/gmp/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data and Image Processing"
],
"Languages": [],
"Software": "Geometry Manipulation Protocol (GMP) for ComputationalFluid Dynamics (CFD) Applications, Version 1.0",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:computation",
"nlp:c (programming language)",
"nlp:computerized simulation",
"nlp:three dimensional body",
"nlp:topology",
"nlp:document markup language",
"nlp:data structure",
"nlp:library",
"nlp:configuration management",
"nlp:data base"
],
"External Link": "https://software.nasa.gov/software/ARC-15193-1"
},
{
"Update_Date": "2014-04-15",
"Description": "The Constellation PRACA I-1 system is a modified version of an open-source, Web-based defect tracking tool called Bugzilla. Bugzilla allows software developers to document and track outstanding bugs in their products; in the Constellation PRACA I-1 system, these core capabilities have been extended to provide the necessary functionality and usability defined in the PRACA processing requirements.",
"Public Code Repo": "https://software.nasa.gov/software/ARC-16033-1",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data and Image Processing"
],
"Languages": [],
"Software": "Constellation PRACA Extension of the Bugzilla Application",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:evaluation",
"nlp:distributed processing",
"nlp:software reliability",
"nlp:computer program integrity",
"nlp:software development tool",
"nlp:programming environment",
"nlp:program verification (computers)",
"nlp:world wide web",
"nlp:data processing",
"nlp:user requirement"
],
"External Link": "https://software.nasa.gov/software/ARC-16033-1"
},
{
"Update_Date": "2014-04-15",
"Description": "nu-Anomica is an anomaly detector that can run faster than traditional OC-SVMs. The technology can handle large training sets and works with a well-defined target function. The program utilizes the OSU SVMs code (which is a MATLAB version of Lib-SVMs) as the baseline.",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/nu-anomica/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data and Image Processing"
],
"Languages": [],
"Software": "nu-Anomica (Previously Sparse One Class Support Vector Machines (SOC-SVMs))",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:education",
"nlp:functions (mathematics)",
"nlp:computer assisted instruction",
"nlp:computerized simulation",
"nlp:target recognition",
"nlp:set theory",
"nlp:symbol",
"nlp:fortran",
"nlp:target acquisition"
],
"External Link": "https://software.nasa.gov/software/ARC-16346-1"
},
{
"Update_Date": "2020-09-01",
"Description": "SequenceMiner was developed to address the problem of detecting and describing anomalies in large sets of high-dimensional symbol sequences. The technology performs unsupervised clustering (grouping) of sequences using the normalized longest common subsequence (LCS) as a similarity measure, followed by a detailed analysis of outliers to detect anomalies. SequenceMiner utilizes a new hybrid algorithm for computing the LCS that has been shown to outperform existing algorithms by a factor of five.",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/sequenceminer/",
"NASA Center": "ARC",
"Contributors": [
"arc-sra-team@mail.nasa.gov",
"arc-sra-team@mail.nasa.gov",
"N/A"
],
"Labor_Hours": 1,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data and Image Processing",
"usg-artificial-intelligence"
],
"Languages": [],
"Software": "SequenceMiner-Anomaly Detection in Large Sets of High-Dimensional Symbol Sequences",
"License": [
"NASA Open Source",
"NASA Open Source"
],
"Categories_NLP": [
"algorithm",
"problem solving",
"symbol",
"systems analysi",
"numerical analysi",
"load distribution (forces)"
],
"External Link": "https://ti.arc.nasa.gov/opensource/projects/sequenceminer/"
},
{
"Update_Date": "2014-04-15",
"Description": "VERVE is a 3D visualization system that provides situational awareness, science analysis tools, and data understanding capabilities for robotics researchers and exploration science operations. The technology is highly modular and extensible and includes a 3D scene-graph database, an interactive 3D viewer, and associated graphical user interfaces to OSGI plugin-based applications.",
"Public Code Repo": "https://sourceforge.net/p/irg-verve/wiki/VERVE%20Wiki%20Home/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data and Image Processing"
],
"Languages": [],
"Software": "Visual Environment for Remote Virtual Exploration (VERVE), Version 2",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:graphical user interface",
"nlp:interactive control",
"nlp:computer graphic",
"nlp:robotic",
"nlp:scene analysi",
"nlp:scientific visualization",
"nlp:graphs (charts)",
"nlp:human-computer interface",
"nlp:data base",
"nlp:data base management system"
],
"External Link": "https://software.nasa.gov/software/ARC-16457-1A"
},
{
"Update_Date": "2014-04-15",
"Description": "NGT is a collection of automated processing tools that can transform raw geospatial raster data from remote sensing instruments into useful cartographic products, including visible image base maps and topographic models. ",
"Public Code Repo": "https://ti.arc.nasa.gov/tech/asr/intelligent-robotics/ngt/stereo/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Environmental Science (Earth, Air, Space, Exoplanet)"
],
"Languages": [],
"Software": "Neo-Geography Toolkit (NGT), Version 2",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:digital technique",
"nlp:digital data",
"nlp:remote sensing",
"nlp:relief map",
"nlp:geometric rectification (imagery)",
"nlp:mapping",
"nlp:data processing",
"nlp:map",
"nlp:image processing",
"nlp:data base"
],
"External Link": "https://software.nasa.gov/software/ARC-16341-1A"
},
{
"Update_Date": "2014-04-15",
"Description": "IKOS is a kernel for the construction of open-static analyzers based on Patrick Cousot and Radhia Cousot's theory of abstract interpretation, which states that computations can be abstracted and reduced to a generalized set of objects and still exhibit the same critical properties of the parent program. By reducing the set of objects through abstraction, IKOS is scalable to large complex computer programs and presents a sound approach to verification of such programs. ",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/ikos/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data and Image Processing"
],
"Languages": [],
"Software": "Inference Kernel for Open Static (IKOS) Analyzers: A High-Performance Static Analysis Engine to Build Automated Code Analysis Tools for the Formal Verification of Critical Software Properties",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:computation",
"nlp:computerized simulation",
"nlp:object-oriented programming",
"nlp:automata theory",
"nlp:program verification (computers)",
"nlp:mathematical logic",
"nlp:set theory",
"nlp:kernel function",
"nlp:concurrent processing",
"nlp:algebra"
],
"External Link": "https://software.nasa.gov/software/ARC-16789-1"
},
{
"Update_Date": "2014-04-15",
"Description": "RAPID is a software reference implementation framework for remote operations. The technology promotes interoperability between robot software modules and includes a standard programming interface and data distribution middleware. RAPID facilitates integration of experimental robot software modules created by a distributed development team; improves the compatibility and reusability of robotic functions; and offers speed prototype robot development in a wide range of configurations and environments.",
"Public Code Repo": "https://rapid.nasa.gov/index.html",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Autonomous Systems"
],
"Languages": [],
"Software": "Robot Application Programming Interface Delegate (RAPID), Version 2",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:systems integration",
"nlp:distributed processing",
"nlp:human-computer interface",
"nlp:interoperability",
"nlp:robotic",
"nlp:robot",
"nlp:programming environment",
"nlp:high speed",
"nlp:prototype",
"nlp:graphical user interface"
],
"External Link": "https://software.nasa.gov/software/ARC-16368-1A"
},
{
"Update_Date": "2014-11-05",
"Description": "PathDroid is an extension of the open sourced Java Pathfinder (JPF) verification framework that supports checking binary Android applications for absence of software defects such as unhandled exceptions and deadlocks.\r\nPathDroid let users run such applications on development platforms, without the need for hardware-in-the-loop or availability of sources.\r\n",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/pathdroid/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"System Testing"
],
"Languages": [],
"Software": "PathDroid",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:c (programming language)",
"nlp:software reliability",
"nlp:hardware description language",
"nlp:software development tool",
"nlp:program verification (computers)",
"nlp:proving",
"nlp:hardware",
"nlp:human-computer interface",
"nlp:computer systems performance",
"nlp:user requirement"
],
"External Link": "https://software.nasa.gov/software/ARC-17293-1"
},
{
"Update_Date": "2020-08-12",
"Description": "Block GP is a Gaussian Process regression framework for multimodal data, that can be an order of magnitude more scalable than existing state-of-the-art nonlinear regression algorithms. The framework builds local Gaussian Processes on semantically meaningful partitions of the data and provides higher prediction accuracy than a single global model with very high confidence. The method relies on approximating the covariance matrix of the entire input space by smaller covariance matrices that can be modeled independently, and\r\ncan therefore be parallelized for faster execution. \r\n",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/block-gp/",
"NASA Center": "ARC",
"Contributors": [
"K. Bhaduri",
"N/A",
"N/A",
"Q. Zhu",
"N/A",
"N/A",
"N. Oza",
"N/A",
"N/A",
"A. Srivastava",
"N/A",
"N/A"
],
"Labor_Hours": 1,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data and Image Processing",
"usg-artificial-intelligence",
"Gaussian",
"multimodal",
"Regression"
],
"Languages": [],
"Software": "Scalable Gaussian Process Regression",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"covariance",
"regression analysi",
"matrices (mathematics)",
"algorithm",
"matrix theory",
"prediction analysis technique",
"mathematical model",
"statistical analysi",
"state vector",
"multivariate statistical analysi"
],
"External Link": "https://software.nasa.gov/software/ARC-16864-1"
},
{
"Update_Date": "2015-03-05",
"Description": "Java Pathfinder core system (jpf-core), is a model checker for Java bytecode. The technology takes a binary Java program and executes it in a user configurable way to detect defects such as deadlocks and unhandled exceptions, providing significantly higher confidence in correct program behavior than conventional testing.",
"Public Code Repo": "https://babelfish.arc.nasa.gov/hg/jpf/jpf-core",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data and Image Processing"
],
"Languages": [],
"Software": "Java Pathfinder (JPF) core system",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:evaluation",
"nlp:mathematical model",
"nlp:computerized simulation",
"nlp:program verification (computers)",
"nlp:systems engineering",
"nlp:confidence limit",
"nlp:performance test",
"nlp:model",
"nlp:computer systems performance",
"nlp:user requirement"
],
"External Link": "https://software.nasa.gov/software/ARC-17487-1"
},
{
"Update_Date": "2020-09-01",
"Description": "Decision trees are commonly used in artificial intelligence and statistical pattern recognition. A tree is \"grown\" from data using a recursive-partitioning algorithm. IND re-implements parts of existing standard prediction algorithms, offers experimental control suites, and also introduces new, more sophisticated methods for growing decision trees.",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/ind/",
"NASA Center": "ARC",
"Contributors": [
"arc-sra-team@mail.nasa.gov",
"arc-sra-team@mail.nasa.gov",
"N/A"
],
"Labor_Hours": 1,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data Servers Processing and Handling",
" usg-artificial-intelligence"
],
"Languages": [],
"Software": "IND 2.1-Creation and Manipulation of Decision Trees from Data",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"trees (mathematics)",
"pattern recognition",
"decision theory",
"artificial intelligence",
"algorithm",
"prediction analysis technique",
"decision making",
"prediction",
"machine learning",
"data acquisition"
],
"External Link": "https://software.nasa.gov/software/ARC-14529-1"
},
{
"Update_Date": "2015-03-05",
"Description": "JPF-NAS is developed to provide support for model checking distributed applications. It relies on the multiprocess support included in Java Pathfinder (JPF) which provides basic functionality to verify the bytecode of distributed applications. JPF-NAS is implemented as a JPF extension which models interprocess communication mechanisms. It uses a form of partial order reduction to explore all possible executions of a distributed Java application. Moreover, JPF-NAS provides a functionality to check the given distributed application under test against possible network failures which can occur at the operating system or the hardware layer.",
"Public Code Repo": "https://babelfish.arc.nasa.gov/hg/jpf/jpf-nas",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"System Testing"
],
"Languages": [],
"Software": "JPF-NAS, an extension of Java Pathfinder that provides support for model checking distributed systems",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:interprocessor communication",
"nlp:distributed processing",
"nlp:operating systems (computers)",
"nlp:response time (computers)",
"nlp:mathematical model",
"nlp:network analysi",
"nlp:failure analysi",
"nlp:system failure",
"nlp:computer network",
"nlp:communication network"
],
"External Link": "https://software.nasa.gov/software/ARC-17301-1"
},
{
"Update_Date": "2015-03-05",
"Description": "MFS (Multi-Fidelity Simulator) is a pluggable framework for creating an air traffic flow simulator at multiple levels of fidelity. The framework is designed to allow low-fidelity simulations of the entire US Airspace to be completed very quickly (on the order of seconds). The framework allows higher-fidelity plugins to be added to allow higher-fidelity simulations to occur in certain regions of the airspace concurrently with the low-fidelity simulation of the full airspace.",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/mfsim/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Aeronautics"
],
"Languages": [],
"Software": "MFSim - Multi-fidelity Simulation",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:air traffic control",
"nlp:computerized simulation",
"nlp:systems simulation",
"nlp:air traffic",
"nlp:simulation",
"nlp:airspace",
"nlp:simulator",
"nlp:traffic"
],
"External Link": "https://software.nasa.gov/software/ARC-17449-1"
},
{
"Update_Date": "2014-04-15",
"Description": "Surfer examines the pool of potential grid resources and extracts the highest-ranking resources that meet user-specified constraints and preferences. The technology has been implemented as a grid service that is compliant with an Open Grid Services Infrastructure (OGSI), and it can also be embedded directly into Java applications through its application programming interface or into non-java applications through its XML-based command-line interface.",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/surfer/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data and Image Processing"
],
"Languages": [],
"Software": "Surfer: An Extensible Pull-Based Framework For Resource Selection and Ranking",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:graphical user interface",
"nlp:interactive control",
"nlp:computational grid",
"nlp:document markup language",
"nlp:on-line system",
"nlp:resource allocation",
"nlp:command and control",
"nlp:interface",
"nlp:human-computer interface",
"nlp:user requirement"
],
"External Link": "https://software.nasa.gov/software/ARC-15295-1"
},
{
"Update_Date": "2014-04-15",
"Description": "Pour is a general-purpose information service framework for periodic, on-demand, and user-specified information reconciliation. The technology is designed to accommodate a wide variety of information types with support for high-volume, low-frequency periodic updates, user-specified updates, and automatic updates collected on demand when needed. ",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/pour/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data and Image Processing"
],
"Languages": [],
"Software": "Pour: A Framework for Periodic, On-Demand, and User-Specified Information Reconciliation",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:information dissemination",
"nlp:human-computer interface",
"nlp:information system",
"nlp:information retrieval",
"nlp:computer network",
"nlp:management information system",
"nlp:technology assessment",
"nlp:information management",
"nlp:data base",
"nlp:user requirement"
],
"External Link": "https://software.nasa.gov/software/ARC-15468-1"
},
{
"Update_Date": "2014-04-15",
"Description": "Swim is a software information service for the grid built on top of the NASA-developed Pour framework. Software information is periodically gathered from native package managers on FreeBSD, Solaris, and IRIX as well as the RPM, Perl, and Python package managers on multiple platforms. ",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/swim/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data and Image Processing"
],
"Languages": [],
"Software": "Swim: A Software Information Metacatalog for the Grid",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:computation",
"nlp:personnel",
"nlp:information system",
"nlp:computerized simulation",
"nlp:computational grid",
"nlp:software development tool",
"nlp:industrial management",
"nlp:management information system",
"nlp:information management",
"nlp:grid generation (mathematics)"
],
"External Link": "https://software.nasa.gov/software/ARC-15469-1"
},
{
"Update_Date": "2014-04-15",
"Description": "Ballast is a tool for balancing user load across Secure Shell Handler (SSH) servers. The system includes a load-balancing client, a lightweight data server, scripts for collecting system load, and scripts for analyzing user behavior. Because Ballast is invoked as part of the SSH login process, it has access to user names. This capability, which is not available in traditional approaches, enables Ballast to perform user-specific load balancing. In addition, Ballast is easy to install, induces near-zero overhead, and has fault-tolerant features in its architectures that will eliminate single points of failure.",
"Public Code Repo": "https://github.com/pkolano/ballast",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data Servers Processing and Handling"
],
"Languages": [],
"Software": "Ballast: Balancing Load Across Systems",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:fault tolerance",
"nlp:distributed processing",
"nlp:response time (computers)",
"nlp:failure",
"nlp:failure analysi",
"nlp:system failure",
"nlp:computer systems design",
"nlp:loads (forces)",
"nlp:architecture (computers)"
],
"External Link": "https://software.nasa.gov/software/ARC-16443-1"
},
{
"Update_Date": "2014-04-15",
"Description": "Dyper protects a site from unauthorized network flows. The tool offers dynamic perimeter enforcement by providing a general-purpose mechanism for maintaining least-privilege network security policies while still supporting the full utilization of multiport protocols. Dyper requires no changes to software or practices outside of the perimeter and only minimal changes inside.",
"Public Code Repo": "https://sourceforge.net/projects/dyper/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data Servers Processing and Handling"
],
"Languages": [],
"Software": "Dyper: Dynamic Perimeter Enforcement",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:protocol (computers)",
"nlp:distributed processing",
"nlp:information flow",
"nlp:network analysi",
"nlp:security",
"nlp:policy",
"nlp:computer network",
"nlp:network",
"nlp:computer information security",
"nlp:access control"
],
"External Link": "https://software.nasa.gov/software/ARC-16444-1"
},
{
"Update_Date": "2014-04-15",
"Description": "JavaGenes is a genetic algorithm code written in Java. It evolves graphs using genetic software techniques and has applications in designing drugs, circuits, or any other system that is easily represented by graphs. ",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/javagenes/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data Servers Processing and Handling"
],
"Languages": [],
"Software": "JavaGenes Genetic Graphs",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:computation",
"nlp:electric network",
"nlp:integrated circuit",
"nlp:graph theory",
"nlp:combinatorial analysi",
"nlp:circuit",
"nlp:symbol",
"nlp:algorithm",
"nlp:graphs (charts)"
],
"External Link": "https://software.nasa.gov/software/ARC-14293-1"
},
{
"Update_Date": "2014-04-15",
"Description": "JavaGenes-Scheduler is a general purpose evolutionary system designed to compare techniques for scheduling observations. It was originally developed for scheduling observations made by Earth-observing satellites. JavaGenes-Scheduler uses a simple, earliest-first scheduler to insert observations into the timeline in permutation order.",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/javagenes/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Data Servers Processing and Handling"
],
"Languages": [],
"Software": "JavaGenes-Scheduler: Evolutionary Software for Earth Observing Satellite Scheduling",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:computation",
"nlp:observability (systems)",
"nlp:operating systems (computers)",
"nlp:scheduling",
"nlp:dynamical system",
"nlp:satellite imagery"
],
"External Link": "https://software.nasa.gov/software/ARC-15103-1"
},
{
"Update_Date": "2016-07-07",
"Description": "Open MCT is an open source and web-based mission control framework for visualization of data on desktop and mobile devices. Open MCT is designed for analysis, visualization, operation, and support of spacecraft missions. Open MCT provides an extensible plugin system allowing it to be integrated with existing ground systems, and adapted to support multiple missions as well as non-space applications.",
"Public Code Repo": "https://github.com/nasa/openmct/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Operations"
],
"Languages": [],
"Software": "Open Mission Control Technologies (Open MCT)",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:spacecraft control",
"nlp:mission planning",
"nlp:data acquisition",
"nlp:interactive control",
"nlp:large space structure",
"nlp:onboard data processing",
"nlp:remote control",
"nlp:computer systems design",
"nlp:scientific visualization",
"nlp:personal computer"
],
"External Link": "https://software.nasa.gov/software/ARC-15256-1D"
},
{
"Update_Date": "2014-11-12",
"Description": "The X-Plane Connect Toolbox enables users to receive real-time information on one or more simulated vehicles state from the X-Plane flight simulator, and control vehicles running in the X-Plane simulation environment. The toolbox can be used to record simulated flight data, visualize flight profiles, create out-the-window visuals, test autopilots, and test control algorithms. Additionally, the toolbox enables the display of ghost traffic flying predefined flight paths in the simulated airspace, and the visualization of flight plans in the form of waypoints. The toolbox allows custom built or third party autopilot programs to interface with X-Plane through MATLAB, C, C++, Java, or Python . Code examples are included in the open source distribution. The toolbox uses a network communication protocol, allowing X-Plane and the client program to run on different computers.",
"Public Code Repo": "https://github.com/nasa/XPlaneConnect/",
"NASA Center": "ARC",
"Contributors": [],
"Labor_Hours": 0,
"Categories": [
"NASA",
"ARC",
"Open Source",
"Aeronautics"
],
"Languages": [],
"Software": "X-Plane Communication Toolbox (XPC)",
"License": [
"NASA Open Source"
],
"Categories_NLP": [
"nlp:flight path",
"nlp:air traffic control",
"nlp:flight plan",
"nlp:real time operation",
"nlp:computerized simulation",
"nlp:computer graphic",
"nlp:communication network",
"nlp:flight simulation",
"nlp:display device",
"nlp:algorithm"
],
"External Link": "https://software.nasa.gov/software/ARC-17185-1"
},
{
"Update_Date": "2016-03-14",