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37 changes: 22 additions & 15 deletions paper/paper.bib
Original file line number Diff line number Diff line change
Expand Up @@ -61,7 +61,7 @@ @ARTICLE{EDAssistant

% The entry below contains non-ASCII chars that could not be converted
% to a LaTeX equivalent.
@ARTICLE{Zhao2022-gi,
@ARTICLE{Zhao2022,
title = "{Notebook‐as‐a‐VRE} ({NaaVRE)}: From private notebooks to a
collaborative cloud virtual research environment",
author = "Zhao, Zhiming and Koulouzis, Spiros and Bianchi, Riccardo and
Expand Down Expand Up @@ -111,7 +111,7 @@ @ARTICLE{Zhao2022-gi
language = "en"
}

@INPROCEEDINGS{Wang2023-ic,
@INPROCEEDINGS{Wang2023,
title = "{Slide4N}: Creating Presentation Slides from Computational
Notebooks with {Human-AI} Collaboration",
booktitle = "Proceedings of the 2023 {CHI} Conference on Human Factors in
Expand Down Expand Up @@ -150,7 +150,7 @@ @INPROCEEDINGS{Wang2023-ic
</conf-loc>"
}

@INPROCEEDINGS{Drosos2020-nn,
@INPROCEEDINGS{Drosos2020,
title = "Wrex: A Unified {Programming-by-Example} Interaction for
Synthesizing Readable Code for Data Scientists",
booktitle = "Proceedings of the 2020 {CHI} Conference on Human Factors in
Expand Down Expand Up @@ -186,7 +186,7 @@ @INPROCEEDINGS{Drosos2020-nn
<country>USA</country>, </conf-loc>"
}

@INPROCEEDINGS{Li2023-en,
@INPROCEEDINGS{Li2023,
title = "Notable: On-the-fly Assistant for Data Storytelling in
Computational Notebooks",
booktitle = "Proceedings of the 2023 {CHI} Conference on Human Factors in
Expand Down Expand Up @@ -222,7 +222,7 @@ @INPROCEEDINGS{Li2023-en
</conf-loc>"
}

@INPROCEEDINGS{Jain2022-xc,
@INPROCEEDINGS{Jain2022,
title = "Jigsaw: large language models meet program synthesis",
booktitle = "Proceedings of the 44th International Conference on Software
Engineering",
Expand Down Expand Up @@ -259,7 +259,7 @@ @INPROCEEDINGS{Jain2022-xc
location = "Pittsburgh, Pennsylvania"
}

@ARTICLE{Wang2022-ck,
@ARTICLE{Wang2022,
title = "{NOVA}: A Practical Method for Creating {Notebook-Ready}
Visual Analytics",
author = "Wang, Zijie J and Munechika, David and Lee, Seongmin and
Expand Down Expand Up @@ -290,7 +290,7 @@ @ARTICLE{Wang2022-ck
eprint = "2205.03963"
}

@INPROCEEDINGS{Wang2024-ki,
@INPROCEEDINGS{Wang2024,
title = "{SuperNOVA}: Design Strategies and Opportunities for Interactive
Visualization in Computational Notebooks",
booktitle = "Extended Abstracts of the 2024 {CHI} Conference on Human Factors
Expand Down Expand Up @@ -329,7 +329,7 @@ @INPROCEEDINGS{Wang2024-ki
<country>USA</country> </conf-loc>"
}

@INPROCEEDINGS{Kluyver2016-xa,
@INPROCEEDINGS{Kluyver2016,
title = "Jupyter Notebooks -- a publishing format for reproducible
computational workflows",
booktitle = "Positioning and Power in Academic Publishing: Players, Agents
Expand All @@ -355,7 +355,7 @@ @INPROCEEDINGS{Kluyver2016-xa
(01/01/16)"
}

@ARTICLE{Perez2007-im,
@ARTICLE{Perez2007,
title = "{IPython}: A System for Interactive Scientific Computing",
author = "Perez, Fernando and Granger, Brian E",
abstract = "Python offers basic facilities for interactive work and a
Expand All @@ -372,7 +372,7 @@ @ARTICLE{Perez2007-im
year = 2007
}

@ARTICLE{Granger2021-jb,
@ARTICLE{Granger2021,
title = "Jupyter: Thinking and Storytelling With Code and Data",
author = "Granger, Brian E and P{\'e}rez, Fernando",
abstract = "Project Jupyter is an open-source project for interactive
Expand All @@ -394,7 +394,7 @@ @ARTICLE{Granger2021-jb
year = 2021
}

@ARTICLE{Heer2024-rr,
@ARTICLE{Heer2024,
title = "Mosaic: An Architecture for Scalable \& Interoperable Data Views",
author = "Heer, Jeffrey and Moritz, Dominik",
abstract = "Mosaic is an architecture for greater scalability, extensibility,
Expand Down Expand Up @@ -426,8 +426,7 @@ @ARTICLE{Heer2024-rr
language = "en"
}


@ARTICLE{Ouyang2019-un,
@ARTICLE{Ouyang2019,
title = "{ImJoy}: an open-source computational platform for the deep
learning era",
author = "Ouyang, Wei and Mueller, Florian and Hjelmare, Martin and
Expand All @@ -441,7 +440,6 @@ @ARTICLE{Ouyang2019-un
language = "en"
}


@misc{voila,
author = {QuantStack},
title = {And Voilà!},
Expand All @@ -466,7 +464,6 @@ @misc{jscatter
note = {Accessed: 2024-06-05}
}


@ARTICLE{gos,
title = "Gos: a declarative library for interactive genomics visualization
in Python",
Expand Down Expand Up @@ -648,3 +645,13 @@ @article{cev
month={Apr}
}

@misc{ecma,
author={Shu-yu Guo and Michael Ficarra and Kevin Gibbons and ECMAScript community},
title="{ECMAScript® 2023 Language Specification}",
year=2023,
edition="14th",
month= jun,
url="https://262.ecma-international.org/14.0/",
section={16.2},
notes="Accessed 2024-06-07"
}
44 changes: 23 additions & 21 deletions paper/paper.md
Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,9 @@ affiliations:
index: 3
date: 05 June 2023
bibliography: paper.bib
exports:
- format: typst
- template: lapreprint-typst
---

# Summary
Expand All @@ -44,15 +47,15 @@ platforms. Since its release a year and a half ago, anywidget has steadily
gained adoption. Nearly 70 new widgets have been created or ported to anywidget
and published to the Python Package Index (PyPI), along with many standalone
scripts and notebooks. These tools cover general-purpose visualization
libraries [@jscatter; @Heer2024-rr] as well as notebook integrations for
libraries [@jscatter; @Heer2024] as well as notebook integrations for
applications in biology [@gos; @vitessce; @viv; @cev], mapping [@lonboard],
astronomy [@ipyaladin], and education [@drawdata]. Anywidget has also been
integrated into popular visualization libraries like Altair [@altair],
enhancing interactivity in notebooks and deepening user engagement with
visualizations and code.

![The anywidget project. The Anywidget Front-End Module (AFM) is a
specification for widget front-end code based on ECMAScript (ES) modules. AFM
specification for widget front-end code based on ECMAScript (ES) modules [@ecma]. AFM
can be written in web-standard ES or with _authoring tools_ that support popular
front-end frameworks. The `anywidget` Python package adapts Jupyter-compatible
platforms (JCPs) into AFM-compatible _host platforms_, enabling Jupyter Widgets
Expand All @@ -65,13 +68,13 @@ that are ready to publish to PyPI. \label{fig:overview}](overview.png)
Computational notebooks are the preferred environment for interactive computing
and data analysis. Their popularity has spurred the development of interactive
visual analytics systems that integrate seamlessly within these environments
[@Wang2024-ki]. The Jupyter project [@Kluyver2016-xa; @Perez2007-im;
@Granger2021-jb] has fostered an ecosystem for writing, executing, and sharing
computational notebooks, including tools for converting them into formats like
[@Wang2024]. The Jupyter project [@Kluyver2016; @Perez2007; @Granger2021] has
fostered an ecosystem for writing, executing, and sharing computational
notebooks, including tools for converting them into formats like
books[@JupyterBook; @JupyterBookMyst], presentation slides [@nbconvert;
@Wang2023-ic], and dashboards [@voila]. However, approaches for authoring
@Wang2023], and dashboards [@voila]. However, approaches for authoring
interactive notebook visualizations vary widely in features and platform
compatibility [@Wang2024-ki], resulting in diverse yet incompatible systems.
compatibility [@Wang2024], resulting in diverse yet incompatible systems.
This inconsistency hinders composition and reuse of interactive visualizations
in notebooks, fostering platform-specific, monolithic integrations instead of
reusable, modular components that fit various analysis workflows.
Expand Down Expand Up @@ -231,20 +234,19 @@ documentation about the project can be found at https://anywidget.dev.
# Related work

Interactive notebook visualization tools vary widely in features and
compatibility [@Wang2024-ki]. Some tools offer rich features (e.g.,
compatibility [@Wang2024]. Some tools offer rich features (e.g.,
bi-directional communication) but rely on platform-specific APIs, limiting
compatibility [@Zhao2022-gi; @Wang2023-ic; @Drosos2020-nn; @Li2023-en;
@Jain2022-xc]. More simple approaches provide broader compatibility but lack
features which meaningfully enrich user workflows. For example, using static
templates or the NOVA framework [@Wang2022-ck] offers wide compatibility,
as the resulting HTML displays can be embedded in nearly any web-based notebook
platform. However, this approach supports only client-side applications with
one-way communication, meaning that only the initial visualization state can
come from the notebook, without further updates from other cells. Other
approaches, like ImJoy [@Ouyang2019-un], offer a more unified architecture for
building interactive visualizations with rich features across multiple
platforms. However, it is an entirely separate computing platform with limited
JCP integrations, not a framework for building reusable, modular visualization
components.
compatibility [@Zhao2022; @Wang2023; @Drosos2020; @Li2023; @Jain2022]. More
simple approaches provide broader compatibility but lack features which
meaningfully enrich user workflows. For example, using static templates or the
NOVA framework [@Wang2022] offers wide compatibility, as the resulting HTML
displays can be embedded in nearly any web-based notebook platform. However,
this approach supports only client-side applications with one-way
communication, meaning that only the initial visualization state can come from
the notebook, without further updates from other cells. Other approaches, like
ImJoy [@Ouyang2019], offer a more unified architecture for building interactive
visualizations with rich features across multiple platforms. However, it is an
entirely separate computing platform with limited JCP integrations, not a
framework for building reusable, modular visualization components.

# References

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