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+ + +

    + + + + +Journal of Open Source Software +JOSS + +2475-9066 + +Open Journals + + + +7560 +10.21105/joss.07560 + +UnfoldMakie.jl: EEG/ERP +visualization package + + + +https://orcid.org/0000-0002-4738-6655 + +Mikheev +Vladimir + + + + +https://orcid.org/0000-0002-6276-3332 + +Ehinger +Benedikt + + + + + + +University of Stuttgart, Institute for Visualization and +Interactive Systems, Germany + + + + +University of Stuttgart, Stuttgart Center for Simulation +Science, Germany + + + + +30 +10 +2024 + +10 +105 +7560 + +Authors of papers retain copyright and release the +work under a Creative Commons Attribution 4.0 International License (CC +BY 4.0) +2025 +The article authors + +Authors of papers retain copyright and release the work under +a Creative Commons Attribution 4.0 International License (CC BY +4.0) + + + +Julia +Event-related potentials (ERP) +Electroencephalography (EEG) +Plotting +Visualization +Interactivity +ERP image +Topoplot +ERP grid +Butterfly plot + + + + + + Statement of need +

    UnfoldMakie.jl is a Julia package for + visualization of electroencephalography (EEG) data, with a focus on + event-related potentials (ERPs) and regression-ERPs (rERPs). + UnfoldMakie.jl fills a gap as one of the only + dedicated EEG visualization libraries and offers ease of use, + customization, speed, and detailed documentation. It allows for both + explorative analysis (zooming/panning) and export to publication-ready + vector graphics. This is achieved via multiple backends of + Makie.jl + (Danisch + & Krumbiegel, 2021): vector graphics with + CairoMakie.jl, GPU-accelerated interactive + graphics with GLMakie.jl and the browser-based + WGLMakie,jl.

    +

    In an earlier study + (Mikheev + et al., 2024), we asked novice and expert practitioners for + insights into their ERP visualization practices. The results of this + survey were used to develop and improve + UnfoldMakie.jl. Further, + UnfoldMakie.jl is agnostic (independent) of any + specific analysis framework, but it nicely accompanies the rERP + analysis package Unfold.jl + (Ehinger + & Dimigen, 2019).

    +

    The target audience of this package is anyone working with EEG, + MEG, ERP, iEEG or other time-series data.

    +
    + + Functionality +

    UnfoldMakie.jl excels in various fields:

    + + +

    Focused. UnfoldMakie.jl focuses + exclusively on visualizing (r)ERPs, unlike other toolboxes such as + EEGLAB, FieldTrip, + Brainstorm, or MNE. + This makes it easier to understand, use, and maintain the package + in the future.

    +
    + +

    Customizable. The majority of EEG researchers perceive the + flexibility of coding as the most important feature of the EEG + toolbox + (Mikheev + et al., 2024). Consequently, users of + UnfoldMakie.jl have great flexibility in + customizing most aspects of the plots, such as colors, line + styles, and axis decorations.

    +
    + +

    Combining plots. The layout system for subplots in + Makie.jl makes it easy to combine and align + various plot types.

    +
    + +

    Flexible mapping. With + AlgebraOfGraphics.jl, it is easy to map + conditions, groups, channels, or other features, to a large + variety of aesthetics like linestyle, color, marker and others. It + works similarly to the popular R package + ggplot2.

    +
    + +

    Flexible data input. All functions support basic + Arrays and tidy + DataFrames.

    +
    + +

    Fast. Julia and Makie.jl allows fast + plotting of figures with very complex layouts. As an example, it + is able to plot one figure with 50 topoplots in 1.9 seconds (1.6 + sec with DelaunayMesh interpolation), which is ~20 times faster + than EEGLAB. Although, the Python-based + MNE is faster by one second (Table 1). + 1

    +
    +
    + + +

    Faster updating. Makie.jl is incredibly + fast at updating figures, which is beneficial for developing + interactive tools and creating animations. + UnfoldMakie.jl can create and save a + topoplot gif file with 50 frames in 1.7 times faster than + MNE (Table 2).

    +
    + +

    Interactive. Several plots in our package have interactive + features. They are supported by + Observables.jl, which allows for fast data + exchange and quick plot updating.

    +
    + +

    Scientific color maps. According to our previous study + (Mikheev + et al., 2024), 40% of EEG researchers are not aware of the + issue of perceptually non-uniform color maps. + UnfoldMakie.jl uses scientific color maps + throughout + (Crameri + et al., 2020) + (Moreland, + 2015).

    +
    + +

    Documented. There is extensive documentation with many usage + examples and docstrings + (Hatherly + et al., 2024).

    +
    +
    + + +

    Table 1. Benchmark for a topoplot series with 50 topolots

    + + + + + + + + + + + + + + + + + + + + + + + + + + +
    LanguagesPackageMedian speed
    MATLABEEGLAB36 sec
    JuliaUnfoldMakie1.998 sec
    PythonMNE0.826 sec
    +
    + + +

    Table 2. Benchmark for generating (and saving) a topoplot + animation with 50 timepoints. No similar functionality exists in + EEGLAB.

    + + + + + + + + + + + + + + + + + + + + + +
    LanguagesPackageMedian speed
    JuliaUnfoldMakie (.gif)5.801 sec
    PythonMNE (.gif)9.494 sec
    +
    +

    We currently support nine general EEG plot types (Figure 1) and two + Unfold-specific plots: Design matrices and Spline plots.

    +
    + + State of the field +

    There are dozens of libraries in Python and MATLAB for ERP analysis + and visualization. According to a recent survey + (Mikheev + et al., 2024), most EEG practitioners (82%) have experience + with MATLAB-based tools like EEGLAB + (Delorme + & Makeig, 2004), FieldTrip + (Oostenveld + et al., 2011), ERPLAB + (Lopez-Calderon + & Luck, 2014) and Brainstorm + (Tadel + et al., 2019). The Python-based MNE + (Gramfort + et al., 2013) (41%) and the commercial software + Brain Vision Analyzer (22%) further showed + strong popularity. None of these toolboxes focuses particularly on + visualizations. Indeed, in terms of specialized EEG visualization + toolboxes, we are aware of only two such libraries, both MATLAB-based + and both named eegvis + (Robbins, + 2012) and + (Ehinger, + 2018).

    +

    Few EEG/ERP analysis and/or visualization libraries have been + written in Julia. We are aware of + NeuroAnalyzer.jl + (Wysokiński, + 2024), EEGToolkit.jl + (Pereyra, + 2024), Neuroimaging.jl + (Luke, + 2021). There are also + traces + of several abandoned projects. Worth highlighting is + PyMNE.jl, a wrapper for the Python-MNE toolbox. + (Alday + & Arslan, 2024)

    +

    However, all these packages are focused on the analysis of EEG + data, while our package is specialized on the visualization of ERPs + and rERPs. This is the gap that UnfoldMakie.jl + fills.

    + +

    8 plots generated by UnfoldMakie.jl. A) ERP plot, B) + Butterfly plot, C) Topoplot, D) Topoplot timeseries, E) ERP image + (Jung + et al., 1998), G) Channel image, H) Parallel coordinate plot + (Ten + Caat et al., 2006).

    + +
    +
    + + Funding +

    Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research + Foundation) – Project-ID 251654672 – TRR 161 and in the Emmy Noether + Programme - Project-ID 538578433.

    +
    + + Acknowledgements +

    We acknowledge contributions from Daniel Baumgartner, Niklas + Gärtner, Soren Doring, Fadil Furkan Lokman, Judith Schepers, and René + Skukies.

    +
    + + Toolbox dependencies +

    Only the main dependencies are listed here. The dependencies of the + dependencies can be found in the respective + Manifest.toml files. Furthermore, please note + that we only list rather than cite the packages for which we could not + find any citation instructions.

    +

    AlgebraOfGraphics.jl + (Krumbiegel + & Vertechi, 2024), + BenchmarkTools.jl, + BSplineKit.jl, CSV.jl, + CairoMakie.jl, + CategoricalArrays.jl, + ColorSchemes.jl, + ColorTypes.jl, + Colors.jl, + CoordinateTransformations.jl, + DataFrames.jl + (Bouchet-Valat + & Kamiński, 2023), + DataFramesMeta.jl, + DataStructures.jl, + DocStringExtensions.jl, + Documenter.jl + (Hatherly + et al., 2024), DSP.jl + (Kornblith + et al., 2023), FFMPEG_jll.jl, + GeometryBasics.jl, + Glob.jl, + GridLayoutBase.jl, + ImageFiltering.jl, + Interpolations.jl, + Literate.jl, + LiveServer.jl, + LinearAlgebra.jl, + Makie.jl + (Danisch + & Krumbiegel, 2021), MakieThemes.jl, + Observables.jl, PyMNE.jl + (Alday + & Arslan, 2024), PythonCall.jl, + PythonPlot.jl, + Random.jl, Revise.jl, + SparseArrays.jl, + StaticArrays.jl, + Statistics.jl, + StatsModels.jl, Test.jl, + TopoPlots.jl + (Ehinger + et al., 2024), Unfold.jl + (Ehinger + & Dimigen, 2019), UnfoldSim.jl + (Schepers + et al., 2024), XML2_jll.jl

    +
    + + + + + + + + MikheevVladimir + SkukiesRene + EhingerBenedikt V + + The art of brainwaves: A survey on event-related potential visualization practices + Aperture Neuro + Organization for Human Brain Mapping + 2024 + 4 + 10.52294/001c.116386 + + + + + + EhingerBenedikt V + DimigenOlaf + + Unfold: An integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis + PeerJ + PeerJ Inc. + 2019 + 7 + 10.5281/zenodo.5759066 + e7838 + + + + + + + DanischSimon + KrumbiegelJulius + + Makie.jl: Flexible high-performance data visualization for julia + Journal of Open Source Software + 2021 + 6 + 65 + 10.21105/joss.03349 + 3349 + + + + + + + JungTzyy-Ping + MakeigScott + WesterfieldMarissa + TownsendJeanne + CourchesneEric + SejnowskiTerrence J + + Analyzing and visualizing single-trial event-related potentials + Advances in neural information processing systems + 1998 + 11 + 10.1002/hbm.1050 + + + + + + Ten CaatMichael + MauritsNatasha M + RoerdinkJos BTM + + Design and evaluation of tiled parallel coordinate visualization of multichannel EEG data + IEEE Transactions on Visualization and Computer Graphics + IEEE + 2006 + 13 + 1 + 10.1109/tvcg.2007.9 + 70 + 79 + + + + + + DelormeArnaud + MakeigScott + + EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis + Journal of neuroscience methods + Elsevier + 2004 + 134 + 1 + 10.1016/j.jneumeth.2003.10.009 + 9 + 21 + + + + + + OostenveldRobert + FriesPascal + MarisEric + SchoffelenJan-Mathijs + + FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data + Computational intelligence and neuroscience + Wiley Online Library + 2011 + 2011 + 1 + 10.1155/2011/156869 + 156869 + + + + + + + Lopez-CalderonJavier + LuckSteven J + + ERPLAB: An open-source toolbox for the analysis of event-related potentials + Frontiers in human neuroscience + Frontiers Media SA + 2014 + 8 + 10.3389/fnhum.2014.00213 + 213 + + + + + + + TadelFrançois + BockElizabeth + NisoGuiomar + MosherJohn C + CousineauMartin + PantazisDimitrios + LeahyRichard M + BailletSylvain + + MEG/EEG group analysis with brainstorm + Frontiers in neuroscience + Frontiers Media SA + 2019 + 13 + 10.3389/fnins.2019.00076 + 76 + + + + + + + EhingerBenedikt V + + EEGVIS toolbox + 2018 + https://github.com/behinger/eegvis + 10.5281/zenodo.1312813 + + + + + + WysokińskiAdam + + NeuroAnalyzer + 2024 + https://codeberg.org/AdamWysokinski/NeuroAnalyzer.jl + 10.5281/zenodo.14010334 + + + + + + PereyraSantiago Lopez + + EEGToolkit.jl + 2024 + https://github.com/slopezpereyra/EEGToolkit.jl + + + + + + GramfortAlexandre + LuessiMartin + LarsonEric + EngemannDenis A. + StrohmeierDaniel + BrodbeckChristian + GojRoman + JasMainak + BrooksTeon + ParkkonenLauri + HämäläinenMatti S. + + MEG and EEG Data Analysis with MNE-Python + Frontiers in Neuroscience + 2013 + 7 + 267 + 10.3389/fnins.2013.00267 + 1 + 13 + + + + + + LukeRob + + Neuroimaging.jl + 2021 + https://github.com/rob-luke/Neuroimaging.jl + + + + + + KrumbiegelJulius + VertechiPietro + + AlgebraOfGraphics.jl + 2024 + https://github.com/MakieOrg/AlgebraOfGraphics.jl + + + + + + ChenJiahao + RevelsJarrett + + Robust benchmarking in noisy environments + arXiv e-prints + 201608 + https://arxiv.org/abs/1608.04295 + 10.48550/arXiv.1608.04295 + + + + + + RobbinsKay A + + EEGVIS: A matlab toolbox for browsing, exploring, and viewing large datasets + Frontiers in Neuroinformatics + Frontiers Research Foundation + 2012 + 6 + 10.3389/fninf.2012.00017 + 17 + + + + + + + HatherlyM. + PiibelehtM. + EkreF. + + Documenter: A documentation generator for julia + 2024 + https://github.com/JuliaDocs/Documenter.jl + + + + + + EhingerBenedikt V + AldayPhillip + SinghviAnshul + SimonDanisch + + TopoPlots.jl: A julia package for topoplot generation + 2024 + https://github.com/MakieOrg/TopoPlots.jl + 10.5281/zenodo.14179492 + + + + + + AldayPhillip + ArslanAlex + + PyMNE.jl + 2024 + https://github.com/beacon-biosignals/PyMNE.jl + 10.5281/zenodo.14172218 + + + + + + CrameriFabio + ShephardGrace E + HeronPhilip J + + The misuse of colour in science communication + Nature communications + Nature Publishing Group UK London + 2020 + 11 + 1 + 10.1038/s41467-020-19160-7 + 5444 + + + + + + + MorelandKenneth D + + Why we use bad color maps and what you can do about it. + Sandia National Lab.(SNL-NM), Albuquerque, NM (United States) + 2015 + 10.2352/issn.2470-1173.2016.16.hvei-133 + + + + + + KornblithSimon + LynchGalen + HoltersMartin + SantosJoão Felipe + RussellSpencer + KickliterJay + BezansonJeff + AdalsteinssonGudmundur + ArslanAlex + YamamotoRyuichi + jordancluts + PastellMatti + KelmanTony + ArthurBen + KraussTom + HDictus + El-SaawyHamza + KofronJared + HansonEric + LukeRob + ShahViral B. + KastanosAleco + Bill + Clemens + SabaElliot + ibadr + BolewskiJake + SmithJordan + + JuliaDSP/DSP.jl: v0.7.9 + Zenodo + 202309 + https://doi.org/10.5281/zenodo.8344531 + 10.5281/zenodo.8344531 + + + + + + Bouchet-ValatMilan + KamińskiBogumił + + DataFrames.jl: Flexible and fast tabular data in julia + Journal of Statistical Software + 2023 + 107 + 4 + https://www.jstatsoft.org/index.php/jss/article/view/v107i04 + 10.18637/jss.v107.i04 + 1 + 32 + + + + + + SchepersJudith + LipsLuis + MaratheMaanik + EhingerBenedikt + + UnfoldSim.jl + 2024 + https://github.com/unfoldtoolbox/UnfoldSim.jl + 10.5281/zenodo.13933412 + + + + + +

    Be aware that results of benchmarking can vary + each run and depends on a OS, package environment, other processes + running on computer etc. Current measurements were done by using + BenchmarkTools.jl. + (Chen + & Revels, 2016)

    +
    +
    +
    +

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http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + + + + Software archive + 10.5281/zenodo.14512987 + + + GitHub review issue + https://github.com/openjournals/joss-reviews/issues/7560 + + + + 10.21105/joss.07560 + https://joss.theoj.org/papers/10.21105/joss.07560 + + + https://joss.theoj.org/papers/10.21105/joss.07560.pdf + + + + + + The art of brainwaves: A survey on event-related potential visualization practices + Mikheev + Aperture Neuro + 4 + 10.52294/001c.116386 + 2024 + Mikheev, V., Skukies, R., & Ehinger, B. V. (2024). The art of brainwaves: A survey on event-related potential visualization practices. Aperture Neuro, 4. https://doi.org/10.52294/001c.116386 + + + Unfold: An integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis + Ehinger + PeerJ + 7 + 10.5281/zenodo.5759066 + 2019 + Ehinger, B. V., & Dimigen, O. (2019). Unfold: An integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis. PeerJ, 7, e7838. https://doi.org/10.5281/zenodo.5759066 + + + Makie.jl: Flexible high-performance data visualization for julia + Danisch + Journal of Open Source Software + 65 + 6 + 10.21105/joss.03349 + 2021 + Danisch, S., & Krumbiegel, J. (2021). Makie.jl: Flexible high-performance data visualization for julia. Journal of Open Source Software, 6(65), 3349. https://doi.org/10.21105/joss.03349 + + + Analyzing and visualizing single-trial event-related potentials + Jung + Advances in neural information processing systems + 11 + 10.1002/hbm.1050 + 1998 + Jung, T.-P., Makeig, S., Westerfield, M., Townsend, J., Courchesne, E., & Sejnowski, T. J. (1998). Analyzing and visualizing single-trial event-related potentials. Advances in Neural Information Processing Systems, 11. https://doi.org/10.1002/hbm.1050 + + + Design and evaluation of tiled parallel coordinate visualization of multichannel EEG data + Ten Caat + IEEE Transactions on Visualization and Computer Graphics + 1 + 13 + 10.1109/tvcg.2007.9 + 2006 + Ten Caat, M., Maurits, N. M., & Roerdink, J. B. (2006). Design and evaluation of tiled parallel coordinate visualization of multichannel EEG data. IEEE Transactions on Visualization and Computer Graphics, 13(1), 70–79. https://doi.org/10.1109/tvcg.2007.9 + + + EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis + Delorme + Journal of neuroscience methods + 1 + 134 + 10.1016/j.jneumeth.2003.10.009 + 2004 + Delorme, A., & Makeig, S. (2004). EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods, 134(1), 9–21. https://doi.org/10.1016/j.jneumeth.2003.10.009 + + + FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data + Oostenveld + Computational intelligence and neuroscience + 1 + 2011 + 10.1155/2011/156869 + 2011 + Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011). FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Computational Intelligence and Neuroscience, 2011(1), 156869. https://doi.org/10.1155/2011/156869 + + + ERPLAB: An open-source toolbox for the analysis of event-related potentials + Lopez-Calderon + Frontiers in human neuroscience + 8 + 10.3389/fnhum.2014.00213 + 2014 + Lopez-Calderon, J., & Luck, S. J. (2014). ERPLAB: An open-source toolbox for the analysis of event-related potentials. Frontiers in Human Neuroscience, 8, 213. https://doi.org/10.3389/fnhum.2014.00213 + + + MEG/EEG group analysis with brainstorm + Tadel + Frontiers in neuroscience + 13 + 10.3389/fnins.2019.00076 + 2019 + Tadel, F., Bock, E., Niso, G., Mosher, J. C., Cousineau, M., Pantazis, D., Leahy, R. M., & Baillet, S. (2019). MEG/EEG group analysis with brainstorm. Frontiers in Neuroscience, 13, 76. https://doi.org/10.3389/fnins.2019.00076 + + + EEGVIS toolbox + Ehinger + 10.5281/zenodo.1312813 + 2018 + Ehinger, B. V. (2018). EEGVIS toolbox (Version 0.1). https://doi.org/10.5281/zenodo.1312813 + + + NeuroAnalyzer + Wysokiński + 10.5281/zenodo.14010334 + 2024 + Wysokiński, A. (2024). NeuroAnalyzer (Version 0.24.11). https://doi.org/10.5281/zenodo.14010334 + + + EEGToolkit.jl + Pereyra + 2024 + Pereyra, S. L. (2024). EEGToolkit.jl (Version 0.2). https://github.com/slopezpereyra/EEGToolkit.jl + + + MEG and EEG Data Analysis with MNE-Python + Gramfort + Frontiers in Neuroscience + 267 + 7 + 10.3389/fnins.2013.00267 + 2013 + Gramfort, A., Luessi, M., Larson, E., Engemann, D. A., Strohmeier, D., Brodbeck, C., Goj, R., Jas, M., Brooks, T., Parkkonen, L., & Hämäläinen, M. S. (2013). MEG and EEG Data Analysis with MNE-Python. Frontiers in Neuroscience, 7(267), 1–13. https://doi.org/10.3389/fnins.2013.00267 + + + Neuroimaging.jl + Luke + 2021 + Luke, R. (2021). Neuroimaging.jl (Version 1.1.2). https://github.com/rob-luke/Neuroimaging.jl + + + AlgebraOfGraphics.jl + Krumbiegel + 2024 + Krumbiegel, J., & Vertechi, P. (2024). AlgebraOfGraphics.jl (Version 0.8.13). https://github.com/MakieOrg/AlgebraOfGraphics.jl + + + Robust benchmarking in noisy environments + Chen + arXiv e-prints + 10.48550/arXiv.1608.04295 + 2016 + Chen, J., & Revels, J. (2016). Robust benchmarking in noisy environments. arXiv e-Prints. https://doi.org/10.48550/arXiv.1608.04295 + + + EEGVIS: A matlab toolbox for browsing, exploring, and viewing large datasets + Robbins + Frontiers in Neuroinformatics + 6 + 10.3389/fninf.2012.00017 + 2012 + Robbins, K. A. (2012). EEGVIS: A matlab toolbox for browsing, exploring, and viewing large datasets. Frontiers in Neuroinformatics, 6, 17. https://doi.org/10.3389/fninf.2012.00017 + + + Documenter: A documentation generator for julia + Hatherly + 2024 + Hatherly, M., Piibeleht, M., & Ekre, F. (2024). Documenter: A documentation generator for julia (Version 1.7). https://github.com/JuliaDocs/Documenter.jl + + + TopoPlots.jl: A julia package for topoplot generation + Ehinger + 10.5281/zenodo.14179492 + 2024 + Ehinger, B. V., Alday, P., Singhvi, A., & Simon, D. (2024). TopoPlots.jl: A julia package for topoplot generation (Version 0.2.0). https://doi.org/10.5281/zenodo.14179492 + + + PyMNE.jl + Alday + 10.5281/zenodo.14172218 + 2024 + Alday, P., & Arslan, A. (2024). PyMNE.jl (Version 0.2.2). https://doi.org/10.5281/zenodo.14172218 + + + The misuse of colour in science communication + Crameri + Nature communications + 1 + 11 + 10.1038/s41467-020-19160-7 + 2020 + Crameri, F., Shephard, G. E., & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11(1), 5444. https://doi.org/10.1038/s41467-020-19160-7 + + + Why we use bad color maps and what you can do about it. + Moreland + 10.2352/issn.2470-1173.2016.16.hvei-133 + 2015 + Moreland, K. D. (2015). Why we use bad color maps and what you can do about it. Sandia National Lab.(SNL-NM), Albuquerque, NM (United States). https://doi.org/10.2352/issn.2470-1173.2016.16.hvei-133 + + + JuliaDSP/DSP.jl: v0.7.9 + Kornblith + 10.5281/zenodo.8344531 + 2023 + Kornblith, S., Lynch, G., Holters, M., Santos, J. F., Russell, S., Kickliter, J., Bezanson, J., Adalsteinsson, G., Arslan, A., Yamamoto, R., jordancluts, Pastell, M., Kelman, T., Arthur, B., Krauss, T., HDictus, El-Saawy, H., Kofron, J., Hanson, E., … Smith, J. (2023). JuliaDSP/DSP.jl: v0.7.9 (Version v0.7.9). Zenodo. https://doi.org/10.5281/zenodo.8344531 + + + DataFrames.jl: Flexible and fast tabular data in julia + Bouchet-Valat + Journal of Statistical Software + 4 + 107 + 10.18637/jss.v107.i04 + 2023 + Bouchet-Valat, M., & Kamiński, B. (2023). DataFrames.jl: Flexible and fast tabular data in julia. Journal of Statistical Software, 107(4), 1–32. https://doi.org/10.18637/jss.v107.i04 + + + UnfoldSim.jl + Schepers + 10.5281/zenodo.13933412 + 2024 + Schepers, J., Lips, L., Marathe, M., & Ehinger, B. (2024). 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