Plots.jl – A User Extendable Plotting API for the Julia Programming Language

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Plots.jl – A User Extendable Plotting API for the Julia Programming Language. / Christ, Simon; Schwabeneder, Daniel; Rackauckas, Christopher; Borregaard, Michael Krabbe; Breloff, Thomas.

In: Journal of open research soft ware, Vol. 11, No. 1, 5, 2023.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Christ, S, Schwabeneder, D, Rackauckas, C, Borregaard, MK & Breloff, T 2023, 'Plots.jl – A User Extendable Plotting API for the Julia Programming Language', Journal of open research soft ware, vol. 11, no. 1, 5. https://doi.org/10.5334/jors.431

APA

Christ, S., Schwabeneder, D., Rackauckas, C., Borregaard, M. K., & Breloff, T. (2023). Plots.jl – A User Extendable Plotting API for the Julia Programming Language. Journal of open research soft ware, 11(1), [5]. https://doi.org/10.5334/jors.431

Vancouver

Christ S, Schwabeneder D, Rackauckas C, Borregaard MK, Breloff T. Plots.jl – A User Extendable Plotting API for the Julia Programming Language. Journal of open research soft ware. 2023;11(1). 5. https://doi.org/10.5334/jors.431

Author

Christ, Simon ; Schwabeneder, Daniel ; Rackauckas, Christopher ; Borregaard, Michael Krabbe ; Breloff, Thomas. / Plots.jl – A User Extendable Plotting API for the Julia Programming Language. In: Journal of open research soft ware. 2023 ; Vol. 11, No. 1.

Bibtex

@article{c9a316021888492abe3aaf978d072a08,
title = "Plots.jl – A User Extendable Plotting API for the Julia Programming Language",
abstract = "There are many excellent plotting libraries. Each excels at a specific use case: one is particularly suited for creating printable 2D figures for publication, another for generating interactive 3D graphics, while a third may have excellent LaTeX integration or be ideal for creating dashboards on the web. The aim of Plots.jl is to enable the user to use the same syntax to interact with a range of different plotting libraries, making it possible to change the library that does the actual plotting (the backend) without needing to touch the code that creates the content – and without having to learn multiple application programming interfaces (API). This is achieved by separating the specification of the plot from the implementation of the graphical backend. This plot specification is extendable by a recipe system that allows package authors and users to create new types of plots, as well as to specify how to plot any type of object (e.g. a statistical model, a map, a phylogenetic tree or the solution to a system of differential equations) without depending on the Plots.jl package. This design supports a modular ecosystem structure for plotting and yields a high code reuse potential across the entire Julia package ecosystem. Plots.jl is publicly available at https://github.com/JuliaPlots/Plots.jl.",
keywords = "julia, julia-language, plotting, user-extendable, visualization",
author = "Simon Christ and Daniel Schwabeneder and Christopher Rackauckas and Borregaard, {Michael Krabbe} and Thomas Breloff",
note = "Publisher Copyright: {\textcopyright} 2023, Neuropsychological Trends. All Rights Reserved.",
year = "2023",
doi = "10.5334/jors.431",
language = "English",
volume = "11",
journal = "Journal of open research soft ware",
issn = "2049-9647",
publisher = "Ubiquity Press",
number = "1",

}

RIS

TY - JOUR

T1 - Plots.jl – A User Extendable Plotting API for the Julia Programming Language

AU - Christ, Simon

AU - Schwabeneder, Daniel

AU - Rackauckas, Christopher

AU - Borregaard, Michael Krabbe

AU - Breloff, Thomas

N1 - Publisher Copyright: © 2023, Neuropsychological Trends. All Rights Reserved.

PY - 2023

Y1 - 2023

N2 - There are many excellent plotting libraries. Each excels at a specific use case: one is particularly suited for creating printable 2D figures for publication, another for generating interactive 3D graphics, while a third may have excellent LaTeX integration or be ideal for creating dashboards on the web. The aim of Plots.jl is to enable the user to use the same syntax to interact with a range of different plotting libraries, making it possible to change the library that does the actual plotting (the backend) without needing to touch the code that creates the content – and without having to learn multiple application programming interfaces (API). This is achieved by separating the specification of the plot from the implementation of the graphical backend. This plot specification is extendable by a recipe system that allows package authors and users to create new types of plots, as well as to specify how to plot any type of object (e.g. a statistical model, a map, a phylogenetic tree or the solution to a system of differential equations) without depending on the Plots.jl package. This design supports a modular ecosystem structure for plotting and yields a high code reuse potential across the entire Julia package ecosystem. Plots.jl is publicly available at https://github.com/JuliaPlots/Plots.jl.

AB - There are many excellent plotting libraries. Each excels at a specific use case: one is particularly suited for creating printable 2D figures for publication, another for generating interactive 3D graphics, while a third may have excellent LaTeX integration or be ideal for creating dashboards on the web. The aim of Plots.jl is to enable the user to use the same syntax to interact with a range of different plotting libraries, making it possible to change the library that does the actual plotting (the backend) without needing to touch the code that creates the content – and without having to learn multiple application programming interfaces (API). This is achieved by separating the specification of the plot from the implementation of the graphical backend. This plot specification is extendable by a recipe system that allows package authors and users to create new types of plots, as well as to specify how to plot any type of object (e.g. a statistical model, a map, a phylogenetic tree or the solution to a system of differential equations) without depending on the Plots.jl package. This design supports a modular ecosystem structure for plotting and yields a high code reuse potential across the entire Julia package ecosystem. Plots.jl is publicly available at https://github.com/JuliaPlots/Plots.jl.

KW - julia

KW - julia-language

KW - plotting

KW - user-extendable

KW - visualization

U2 - 10.5334/jors.431

DO - 10.5334/jors.431

M3 - Journal article

AN - SCOPUS:85159116632

VL - 11

JO - Journal of open research soft ware

JF - Journal of open research soft ware

SN - 2049-9647

IS - 1

M1 - 5

ER -

ID: 347297953