tag:joss.theoj.org,2005:/papers/tagged/PythonJournal of Open Source Software2024-03-18T12:36:12ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/48242024-03-18T12:36:12Z2024-03-19T00:01:19ZShapelets: A Python package implementing shapelet functions and their applicationsacceptedv0.12023-09-30 00:32:46 UTC952024-03-18 12:36:12 UTC920246058MatthewPeresTinoDepartment of Chemical Engineering, University of Waterloo, Ontario, Canada0009-0005-6832-1761AbbasYusufAbdulazizDepartment of Chemical Engineering, University of Waterloo, Ontario, CanadaRobertSudermanGoogle Inc.ThomasAkdenizEast Coast Asset Management SEZCNasserMohieddinAbukhdeirDepartment of Chemical Engineering, University of Waterloo, Ontario, Canada, Department of Physics and Astronomy, University of Waterloo, Ontario, Canada, Waterloo Institute for Nanotechnology, University of Waterloo, Ontario, Canada0000-0002-1772-037610.21105/joss.06058https://doi.org/10.5281/zenodo.10819578Pythonhttps://joss.theoj.org/papers/10.21105/joss.06058.pdfshapelets, self-assembly, astronomy, image processing, machine learningtag:joss.theoj.org,2005:Paper/50042024-03-17T15:00:35Z2024-03-18T07:46:38ZSelfEEG: A Python library for Self-Supervised Learning in Electroencephalographyacceptedv0.1.02023-12-16 00:30:46 UTC952024-03-17 15:00:35 UTC920246224FedericoDel PupDepartment of Information Engineering, University of Padova, Padova, Italy, Department of Neuroscience, University of Padova, Padova, Italy, Padova Neuroscience Center, University of Padova, Padova, Italy0009-0004-0698-962XAndreaZanolaPadova Neuroscience Center, University of Padova, Padova, Italy0000-0001-6973-8634Louis FabriceTshimangaDepartment of Neuroscience, University of Padova, Padova, Italy, Padova Neuroscience Center, University of Padova, Padova, Italy0009-0002-1240-4830Paolo EmilioMazzonPadova Neuroscience Center, University of Padova, Padova, ItalyManfredoAtzoriDepartment of Neuroscience, University of Padova, Padova, Italy, Padova Neuroscience Center, University of Padova, Padova, Italy, Information Systems Institute, University of Applied Sciences Western Switzerland (HES-SO Valais), Sierre, Switzerland0000-0001-5397-206310.21105/joss.06224https://doi.org/10.5281/zenodo.10813095Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.06224.pdfPyTorch, Deep Learning (DL), Self-Supervised Learning (SSL), Contrastive Learning (CL), Electroencephalography (EEG), Biomedical signalstag:joss.theoj.org,2005:Paper/50542024-03-13T19:36:59Z2024-03-14T09:10:13ZPyProximal - scalable convex optimization in Pythonacceptedv0.7.02023-12-31 11:55:29 UTC952024-03-13 19:36:59 UTC920246326MatteoRavasiEarth Science and Engineering, Physical Sciences and Engineering (PSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia0000-0003-0020-2721MarcusValtonenÖrnhagEricsson Research, Lund, Sweden.0000-0001-8687-227XNickLuikenEarth Science and Engineering, Physical Sciences and Engineering (PSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia0000-0003-3307-1748OlivierLeblancISPGroup, INMA/ICTEAM, UCLouvain, Louvain-la-Neuve, Belgium.0000-0003-3641-1875EnekoUruñuelaBasque Center on Cognition, Brain and Language (BCBL), Donostia-San Sebastián, Spain.0000-0001-6849-908810.21105/joss.06326https://doi.org/10.5281/zenodo.10805997Pythonhttps://joss.theoj.org/papers/10.21105/joss.06326.pdfconvex optimization, proximaltag:joss.theoj.org,2005:Paper/48522024-03-09T21:38:19Z2024-03-11T01:37:29ZHyperNetX: A Python package for modeling complex network data as hypergraphsacceptedv2.0.52023-10-16 19:38:03 UTC952024-03-09 21:38:19 UTC920246016BrendaPraggastisPacific Northwest National Laboratory, USA0000-0003-1344-0497SinanAksoyPacific Northwest National Laboratory, USA0000-0002-3466-3334DustinArendtPacific Northwest National Laboratory, USA0000-0003-2466-199XMarkBonicilloPacific Northwest National Laboratory, USA0009-0003-9764-2180CliffJoslynPacific Northwest National Laboratory, USA0000-0002-5923-5547EmiliePurvinePacific Northwest National Laboratory, USA0000-0003-2069-5594MadelynShapiroPacific Northwest National Laboratory, USA0000-0002-2786-7056JiYoungYunPacific Northwest National Laboratory, USA10.21105/joss.06016https://doi.org/10.5281/zenodo.10795225Pythonhttps://joss.theoj.org/papers/10.21105/joss.06016.pdfhypergraph, network science, simplicial-complexes, knowledge graph, simplicial-homology, s-linegraph, property hypergraphtag:joss.theoj.org,2005:Paper/45492024-03-09T21:25:31Z2024-03-11T10:50:14ZPyheartlib: A Python package for processing electrocardiogram signalsacceptedv1.0.12023-06-17 17:30:15 UTC952024-03-09 21:25:31 UTC920245792SadeghMohammadiIndependent Researcher0000-0001-9763-496310.21105/joss.05792https://doi.org/10.5281/zenodo.10730468Pythonhttps://joss.theoj.org/papers/10.21105/joss.05792.pdfelectrocardiogram, signal, heartbeat, arrhythmiatag:joss.theoj.org,2005:Paper/49512024-03-09T08:44:26Z2024-03-10T00:01:13Zplotastic: Bridging Plotting and Statistics in Pythonaccepted0.1.02023-11-23 09:55:06 UTC952024-03-09 08:44:26 UTC920246304MartinKuricDepartment of Musculoskeletal Tissue Regeneration, University of Würzburg, Germany0009-0009-7292-7714ReginaEbertDepartment of Musculoskeletal Tissue Regeneration, University of Würzburg, Germany0000-0002-8192-869X10.21105/joss.06304https://doi.org/10.5281/zenodo.10775033Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.06304.pdfplotting, statistics, seaborn, pingouintag:joss.theoj.org,2005:Paper/47182024-03-08T15:59:35Z2024-03-09T00:01:01ZMetObs - a Python toolkit for using non-traditional meteorological observationsacceptedv0.1.12023-08-24 12:50:56 UTC952024-03-08 15:59:35 UTC920245916ThomasVergauwenRoyal Meteorological Institute of Belgium, Brussels, Belgium, Ghent University department of Physics and Astronomy, Ghent, Belgium0000-0003-2899-9218MichielVieijraRoyal Meteorological Institute of Belgium, Brussels, Belgium0000-0003-0817-2846AndreiCovaciVrije Universiteit Brussel (VUB), Brussels, Belgium0000-0001-5147-2460AmberJacobsGhent University department of Physics and Astronomy, Ghent, Belgium0000-0002-4628-3988SaraTopGhent University department of Physics and Astronomy, Ghent, Belgium0000-0003-1281-790XWoutDewettinckGhent University department of Physics and Astronomy, Ghent, Belgium0000-0002-0728-5331KobeVandelanotteRoyal Meteorological Institute of Belgium, Brussels, Belgium, Ghent University department of Physics and Astronomy, Ghent, Belgium0009-0001-1252-7315IanHelleboschGhent University department of Physics and Astronomy, Ghent, Belgium, VITO, Mol, Belgium0000-0003-0150-529XStevenCaluwaertsRoyal Meteorological Institute of Belgium, Brussels, Belgium, Ghent University department of Physics and Astronomy, Ghent, Belgium0000-0001-7456-389110.21105/joss.05916https://doi.org/10.5281/zenodo.10794417Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.05916.pdfMeteorology, Urban climate, Observationstag:joss.theoj.org,2005:Paper/47262024-03-06T17:58:44Z2024-03-07T00:00:25ZPyrokinetics - A Python library to standardise gyrokinetic analysisacceptedv0.5.02023-08-31 12:49:56 UTC952024-03-06 17:58:44 UTC920245866BhavinS.PatelCulham Centre for Fusion Energy, Abingdon OX14 3DB, UK0000-0003-0121-1187PeterHillUniversity of York, Heslington, Y010 5DD, UK0000-0003-3092-1858LiamPattinsonUniversity of York, Heslington, Y010 5DD, UK0000-0001-8604-6904MaurizioGiacominUniversity of York, Heslington, Y010 5DD, UK, University of Padua, Padua, 35122, Italy0000-0003-2821-2008ArkapravaBokshiUniversity of York, Heslington, Y010 5DD, UK0000-0001-7095-7172DanielKennedyCulham Centre for Fusion Energy, Abingdon OX14 3DB, UK0000-0001-7666-782XHarryG.DuddingCulham Centre for Fusion Energy, Abingdon OX14 3DB, UK0000-0002-3413-0861Jason.F.ParisiPrinceton Plasma Physics Laboratory, Princeton, NJ 08536, USA0000-0003-1328-7154TomF.NeiserGeneral Atomics, San Diego, CA 92121, USA0000-0002-8763-3016AjayC.JayalekshmiUniversity of Warwick, Warwick, CV4 7AL, UK0000-0002-6447-581XDavidDickinsonUniversity of York, Heslington, Y010 5DD, UK0000-0002-0868-211XJuanRuizRuizUniversity of Oxford, Oxford OX1 3PU, UK0000-0003-4258-527310.21105/joss.05866https://doi.org/10.5281/zenodo.10472477Pythonhttps://joss.theoj.org/papers/10.21105/joss.05866.pdfgyrokinetics, turbulence, plasma, tokamak, fusion, magnetic confinementtag:joss.theoj.org,2005:Paper/48582024-03-06T17:32:25Z2024-03-07T00:00:24Zcalorine: A Python package for constructing and sampling neuroevolution potential modelsacceptedv2.02023-10-21 15:02:27 UTC952024-03-06 17:32:25 UTC920246264EricLindgrenDepartment of Physics, Chalmers University of Technology, Gothenburg 412 96, Sweden0000-0002-8549-6839MagnusRahmDepartment of Physics, Chalmers University of Technology, Gothenburg 412 96, Sweden0000-0002-6777-0371ErikFranssonDepartment of Physics, Chalmers University of Technology, Gothenburg 412 96, Sweden0000-0001-5262-3339FredrikErikssonDepartment of Physics, Chalmers University of Technology, Gothenburg 412 96, Sweden0000-0002-7945-5483NicklasÖsterbackaDepartment of Physics, Chalmers University of Technology, Gothenburg 412 96, Sweden0000-0002-6043-4607ZheyongFanCollege of Physical Science and Technology, Bohai University, Jinzhou 121013, P. R. China0000-0002-2253-8210PaulErhartDepartment of Physics, Chalmers University of Technology, Gothenburg 412 96, Sweden0000-0002-2516-606110.21105/joss.06264https://doi.org/10.5281/zenodo.10723374Python, C++, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.06264.pdfcondensed matter, machine learning, interatomic potentials, force fields, molecular dynamics, neuroevolution, neural networktag:joss.theoj.org,2005:Paper/48622024-03-05T15:11:10Z2024-03-06T16:03:15ZPDOPT: A Python library for Probabilistic Design space exploration and OPTimisationacceptedv0.452023-10-23 15:08:48 UTC952024-03-05 15:11:10 UTC920246110AndreaSpinelliCentre for Propulsion and Thermal Power, Cranfield University, MK430AL, UK0000-0002-3064-3387TimoleonKipourosCentre for Propulsion and Thermal Power, Cranfield University, MK430AL, UK0000-0003-3392-283X10.21105/joss.06110https://doi.org/10.5281/zenodo.10732017Pythonhttps://joss.theoj.org/papers/10.21105/joss.06110.pdfComputational Engineering, Design Space Exploration, Set-Based Design, Design Uncertainty, Multi-Objective Optimization