RECORD
Network visualizations with Pyvis and VisJS
Social and Information Networks · Submitted 2 Jun 2020
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim In this paper, we outline use cases for Pyvis with specific examples to highlight key features for any analysis workflow.
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The abstract, sentence by sentence
Pyvis is a Python module that enables visualizing and interactively manipulating network graphs in the Jupyter notebook, or as a standalone web application. Pyvis is built on top of the powerful and mature VisJS JavaScript library, which allows for fast and responsive interactions while also abstracting away the low-level JavaScript and HTML. This means that elements of the rendered graph visualization, such as node/edge attributes can be specified within Python and shipped to the JavaScript layer for VisJS to render. This declarative approach makes it easy to quickly explore graph visualizations and investigate data relationships. In addition, Pyvis is highly customizable so that colors, sizes, and hover tooltips can be assigned to the rendered graph. The network graph layout is controlled by a front-end physics engine that is configurable from a Python interface, allowing for the detailed placement of the graph elements. In this paper, we outline use cases for Pyvis with specific examples to highlight key features for any analysis workflow. A brief overview of Pyvis' implementation describes how the Python front-end binding uses simple Pyvis calls.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | Pyvis is a Python module that enables visualizing and interactively manipulating network graphs in the Jupyter notebook, or as a standalone web application. | background 0.52 | 0.12 | 0.07 | asserted 1.00 |
| s1 | Pyvis is built on top of the powerful and mature VisJS JavaScript library, which allows for fast and responsive interactions while also abstracting away the low-level JavaScript and HTML. | background 0.64 | 0.11 | 0.04 | asserted 1.00 |
| s2 | This means that elements of the rendered graph visualization, such as node/edge attributes can be specified within Python and shipped to the JavaScript layer for VisJS to render. | method 0.79 | 0.11 | 0.03 | asserted 1.00 |
| s3 | This declarative approach makes it easy to quickly explore graph visualizations and investigate data relationships. | interpretation 0.59 | 0.12 | 0.09 | asserted 1.00 |
| s4 | In addition, Pyvis is highly customizable so that colors, sizes, and hover tooltips can be assigned to the rendered graph. | method 0.55 | 0.12 | 0.04 | asserted 1.00 |
| s5 | The network graph layout is controlled by a front-end physics engine that is configurable from a Python interface, allowing for the detailed placement of the graph elements. | method 0.77 | 0.14 | 0.03 | asserted 1.00 |
| s6 | In this paper, we outline use cases for Pyvis with specific examples to highlight key features for any analysis workflow. | contribution 1.00 | 0.70 | 0.17 | asserted 0.96 |
| s7 | A brief overview of Pyvis' implementation describes how the Python front-end binding uses simple Pyvis calls. | method 0.50 | 0.47 | 0.06 | asserted 0.95 |
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The paper
Original abstract
Pyvis is a Python module that enables visualizing and interactively manipulating network graphs in the Jupyter notebook, or as a standalone web application. Pyvis is built on top of the powerful and mature VisJS JavaScript library, which allows for fast and responsive interactions while also abstracting away the low-level JavaScript and HTML. This means that elements of the rendered graph visualization, such as node/edge attributes can be specified within Python and shipped to the JavaScript layer for VisJS to render. This declarative approach makes it easy to quickly explore graph visualizations and investigate data relationships. In addition, Pyvis is highly customizable so that colors, sizes, and hover tooltips can be assigned to the rendered graph. The network graph layout is controlled by a front-end physics engine that is configurable from a Python interface, allowing for the detailed placement of the graph elements. In this paper, we outline use cases for Pyvis with specific examples to highlight key features for any analysis workflow. A brief overview of Pyvis' implementation describes how the Python front-end binding uses simple Pyvis calls.
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To gain a deeper understanding of the KGs, we create visualizations with NetworkX[Link to NetworkX: <https://networkx.org/>] [ref] , iGraph[Link to iGraph: <https://igraph.org/>] [ref] , Pyvis[Link to Pyvis: <https://pyvis.readthedocs.io/en/latest/>] [ref] , and arena3D[Link to Arena3D: <https://arena3d.org/>] [ref] .
NASA Science Mission Directorate Knowledge Graph Discovery · Visualization · 1.00
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