tag:joss.theoj.org,2005:/papers/tagged/data%20streamsJournal of Open Source Software2023-03-09T21:41:24ZJournal of Open Source Softwarehttps://joss.theoj.orgtag: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/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