tag:joss.theoj.org,2005:/papers/tagged/StreamingJournal of Open Source Software2024-02-12T12:06:13ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/49062024-02-12T12:06:13Z2024-02-13T00:01:22ZFasten: a toolkit for streaming operations on fastq filesacceptedv0.7.22023-10-30 19:01:17 UTC942024-02-12 12:06:13 UTC920246030LeeS.KatzEnteric Diseases Laboratory Branch (EDLB), Centers for Disease Control and Prevention, Atlanta, GA, United States of America, Center for Food Safety, University of Georgia, Griffin, GA, United States of America0000-0002-2533-9161JohnPhanGeneral Dynamics Information Technology Inc., Atlanta, GA, United States of America0000-0002-4670-2660HenkC. denBakkerEnteric Diseases Laboratory Branch (EDLB), Centers for Disease Control and Prevention, Atlanta, GA, United States of America0000-0002-4086-158010.21105/joss.06030https://doi.org/10.5281/zenodo.10621531Rusthttps://joss.theoj.org/papers/10.21105/joss.06030.pdfcommand line, fastq manipulation, interleaved fastqtag:joss.theoj.org,2005:Paper/39502023-03-09T21:41:24Z2023-03-10T00:04:45ZOpenMSIStream: A Python package for facilitating integration of streaming data in diverse laboratory environmentsacceptedv1.0.02022-10-07 21:45:41 UTC832023-03-09 21:41:24 UTC820234896MargaretEminizerInstitute for Data Intensive Engineering and Science (IDIES), The Johns Hopkins University, USA0000-0003-4591-2225SamTabriskyDepartment of Biology, Dartmouth College, USA, Department of Computer Science, Dartmouth College, USA, Hopkins Extreme Materials Institute (HEMI), The Johns Hopkins University, USAAmirSharifzadehInstitute for Data Intensive Engineering and Science (IDIES), The Johns Hopkins University, USA0000-0002-4100-4898ChristopherDiMarcoHopkins Extreme Materials Institute (HEMI), The Johns Hopkins University, USA0000-0002-2267-938XJacobM.DiamondHopkins Extreme Materials Institute (HEMI), The Johns Hopkins University, USA, Department of Mechanical Engineering, The Johns Hopkins University, USA0000-0001-7905-4260K.t.RameshHopkins Extreme Materials Institute (HEMI), The Johns Hopkins University, USA0000-0003-2659-4698ToddC.HufnagelHopkins Extreme Materials Institute (HEMI), The Johns Hopkins University, USA, Department of Materials Science and Engineering, The Johns Hopkins University, USA, Department of Mechanical Engineering, The Johns Hopkins University, USA0000-0002-6373-9377TyrelM.McQueenHopkins Extreme Materials Institute (HEMI), The Johns Hopkins University, USA, Department of Materials Science and Engineering, The Johns Hopkins University, USA, Department of Chemistry, The Johns Hopkins University, USA, Institute for Quantum Matter (IQM), William H. Miller III Department of Physics and Astronomy, The Johns Hopkins University, USA0000-0002-8493-4630DavidElbertInstitute for Data Intensive Engineering and Science (IDIES), The Johns Hopkins University, USA, Hopkins Extreme Materials Institute (HEMI), The Johns Hopkins University, USA0000-0002-2292-180X10.21105/joss.04896https://doi.org/10.5281/zenodo.7713196Pythonhttps://joss.theoj.org/papers/10.21105/joss.04896.pdfdata streaming, science data, Apache Kafka, materials sciencetag:joss.theoj.org,2005:Paper/26962022-11-25T08:02:12Z2022-11-26T00:00:47ZClusterValidityIndices.jl: Batch and Incremental Metrics for Unsupervised Learningaccepted0.1.52021-05-28 15:42:10 UTC792022-11-25 08:02:12 UTC720223527SashaPetrenkoMissouri University of Science and Technology0000-0003-2442-8901DonaldC.WunschMissouri University of Science and Technology0000-0002-9726-905110.21105/joss.03527https://doi.org/10.5281/zenodo.7332045Juliahttps://joss.theoj.org/papers/10.21105/joss.03527.pdfCVI, ICVI, Cluster Validity Indices, Cluster Validity Index, Incremental Cluster Validity Indices, Incremental Cluster Validity Index, Machine Learning, Clustering, Metrics, Streaming, Time Seriestag:joss.theoj.org,2005:Paper/37602022-08-27T06:41:11Z2022-08-28T00:00:51Zρμ: A Java library of randomization enhancements and other math utilitiesacceptedv2.3.22022-08-02 21:16:08 UTC762022-08-27 06:41:11 UTC720224663VincentA.CicirelloComputer Science, School of Business, Stockton University, Galloway, NJ 08205, USA0000-0003-1072-855910.21105/joss.04663https://doi.org/10.5281/zenodo.7026452Javahttps://joss.theoj.org/papers/10.21105/joss.04663.pdfrandomization, pseudorandom numbers, sampling algorithms, math utilities, random number distributions, random streamstag:joss.theoj.org,2005:Paper/29372021-11-29T13:24:52Z2021-11-30T00:02:24ZESVM: an open-source finite volume Electrostatic Vlasov-Maxwell codeacceptedv1.0.02021-08-11 08:38:58 UTC672021-11-29 13:24:52 UTC620213618MichaëlJ.TouatiDepartment of Electrical Engineering, University of California Los Angeles, Los Angeles, CA 90095, USA, Group of Lasers and Plasmas, IPFN, IST, Universidade de Lisboa, Lisbon, Portugal, Centro de Láseres Pulsados de Salamanca (CLPU), Edificio M5, Parque Cientfico, C/ Adaja 8, 37185 Villamayor, Salamanca, Spain (current affiliation)0000-0001-7590-094110.21105/joss.03618https://doi.org/10.5281/zenodo.5733971Fortran, Pythonhttps://joss.theoj.org/papers/10.21105/joss.03618.pdfOpenMP, Electrostatic, Collisionless, Plasma, Poisson, Maxwell-Gauss, Maxwell-Ampere, Vlasov, Advection, Finite volume, Donor-cell, Lax-Wendroff, Beam-Warming, Fromm, minmod, superbee, Van Leer, MUSCL, Landau damping, Two-stream instability, Electrostatic wakefieldtag:joss.theoj.org,2005:Paper/20002020-12-05T19:44:28Z2021-02-15T11:30:02ZSCALAR - A Platform for Real-time Machine Learning Competitions on Data Streamsacceptedv0.12020-08-31 07:49:44 UTC562020-12-05 19:44:28 UTC520202676NedeljkoRadulovicLTCI, Télécom Paris, IP-Paris, Paris, FranceDihiaBouleganeLTCI, Télécom Paris, IP-Paris, Paris, France, Orange Labs, Grenoble, FranceAlbertBifetLTCI, Télécom Paris, IP-Paris, Paris, France, University of Waikato, New Zealand10.21105/joss.02676https://doi.org/10.5281/zenodo.4299807Python, Java, Rhttps://joss.theoj.org/papers/10.21105/joss.02676.pdfStream Data Mining, Real-time Machine Learning, Information Flow Processingtag:joss.theoj.org,2005:Paper/11972020-02-11T18:39:53Z2023-06-21T18:48:11ZOnlineStats.jl: A Julia package for statistics on data streamsacceptedv1.0.02019-09-05 08:54:29 UTC462020-02-11 18:39:53 UTC520201816JoshDayLoon Analytics, LLC0000-0002-7490-6986HuaZhouUCLA Biostatistics0000-0003-1320-711810.21105/joss.01816https://doi.org/10.5281/zenodo.3659245Juliahttps://joss.theoj.org/papers/10.21105/joss.01816.pdfstatistics, big data, online algorithms, streaming datatag:joss.theoj.org,2005:Paper/12932020-01-23T00:27:17Z2021-02-15T11:31:30ZMOAFS: A Massive Online Analysis library for feature selection in data streamsacceptedv1.0.02019-10-15 21:35:53 UTC452020-01-23 00:27:17 UTC520201970MatheusBernardellide MoraesFaculty of Technology, University of Campinas0000-0002-9485-0334AndréLeon SampaioGradvohlFaculty of Technology, University of Campinas0000-0002-6520-974010.21105/joss.01970https://doi.org/10.6084/m9.figshare.11663307.v2Javahttps://joss.theoj.org/papers/10.21105/joss.01970.pdffeature selection, data streams, concept drift, moatag:joss.theoj.org,2005:Paper/10152019-11-21T21:23:47Z2021-02-15T11:32:09ZEyestream: An Open WebSocket-based Middleware for Serializing and Streaming Eye Tracker Event Data from Gazepoint GP3 HD Research Hardwareaccepted1.0.22019-05-25 16:44:19 UTC432019-11-21 21:23:47 UTC420191620MatthewL.HaleSchool of Interdisciplinary Informatics, University of Nebraska at Omaha0000-0002-8433-274410.21105/joss.01620https://doi.org/10.5281/zenodo.3549022Pythonhttps://joss.theoj.org/papers/10.21105/joss.01620.pdfeye tracker, Gazepoint, websocket, JSON, streamingtag:joss.theoj.org,2005:Paper/9432019-07-25T20:19:52Z2021-02-15T11:32:21ZOrpailleCC: a Library for Data Stream Analysis on Embedded SystemsacceptedV1.02019-03-29 17:50:40 UTC392019-07-25 20:19:52 UTC420191485MartinKhannouzDepartment of Computer Science and Software Engineering, Concordia University, Montreal, Canada0000-0003-2129-5517BoLiDepartment of Computer Science and Software Engineering, Concordia University, Montreal, Canada0000-0003-4207-5070TristanGlatardDepartment of Computer Science and Software Engineering, Concordia University, Montreal, Canada0000-0003-2620-588310.21105/joss.01485https://doi.org/10.5281/zenodo.3266109C++https://joss.theoj.org/papers/10.21105/joss.01485.pdfdata stream, embedded systems