Gist 768fb636b8937310866e37881fe515db

100%

Gist 768fb636b8937310866e37881fe515db

✓ Published0🌍 Public

Last edited Jun 21, 2019

Created on Jun 21, 2019

This visualization displays the Node.js build process as an interactive network of linked nodes, revealing dependencies and sequential steps through a force-directed layout. It uses D3.js’s `d3.forceSimulation` and `d3.forceLink` to position and connect the nodes, with colors encoding different build stages. The data originates from the Node.js `BUILDING.md` documentation and pull-request guidelines, which are parsed and mapped to graph elements. Hovering highlights connected paths, while zoom and pan controls allow exploration of the full build workflow.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist 37128af71824779d01db3758902ca8ed

This example visualizes the installation steps for Node.js on Ubuntu using a procedural, code-driven diagram. It presents a sequence of terminal commands and system prompts as a branching flowchart, with nodes representing actions like `sudo apt install nodejs` and verification steps like `node -v`. The visualization uses D3.js to render the graph, likely employing `d3.forceSimulation` for node positioning and SVG elements for drawing links and labels. The code also relies on standard D3 selection and data-binding methods to map the command list into a structured network, highlighting the order and dependencies between installation phases.

MMistyBlunch

79% match

Loading thumbnail…

Gist 05ff2219cb2cc463ad1612e8a501c400

This visualization uses a force-directed simulation to show a network of interconnected nodes, with each node represented as a colored circle and links drawn between related points. The code relies on `d3.forceSimulation` and `d3.forceLink` to compute the layout, while `d3.drag` enables user interaction to move nodes. A canvas element renders the graph, with the simulation updating positions each tick. The data appears to be a small custom-generated dataset of nodes and edges, with node colors mapping to distinct groups, and the visualization does not include any external data source or geographic rendering.

MMistyBlunch

79% match

Loading thumbnail…

Gist f867f21cc0dbe672f0d10ab163876c38

This example shows a force-directed network visualization built with D3.js, rendering connections between GitHub repository nodes. It uses d3.forceSimulation with charge, link, and center forces to position the nodes, while links are drawn as SVG paths. The visualization reads repository and relationship data from a gist, with each node colored and labeled based on its source repository. Hovering highlights connected links and neighbor nodes, with a zoom and pan interface via d3.zoom for exploring the graph.

MMistyBlunch

78% match

Loading thumbnail…

Gist 987ce21f44be30e78ba0241dc9e8596c

This visualization presents an interactive network graph of dependencies and references extracted from a Gist, illustrating connections between documentation links and Docker-related resources. The code uses D3.js with `d3.forceSimulation` to position nodes, employing force-directed physics for layout, while SVG elements render the nodes and links. The graph displays labeled nodes with varying sizes, likely reflecting connection degree, and colors that differentiate categories such as source, Docker documentation, and Stack Exchange threads. The data originates from a hardcoded JSON structure in the Gist, and the visualization responds to drag interactions, allowing users to explore the relational structure of the cited materials.

MMistyBlunch

78% match

Loading thumbnail…

important for node version

This example visualizes Node.js version management through an interactive node-link diagram. It shows the relationships between different Node.js version lineages and their release timelines using a force-directed network layout powered by `d3.forceSimulation`. The nodes are color-coded by major version and sized by release recency, with edges connecting versions based on their inheritance. The code uses D3.js for SVG rendering, including `d3.forceLink`, `d3.forceManyBody`, and `d3.forceCenter` to arrange the layout, with data drawn from a static JSON array of version metadata.

MMistyBlunch

78% match

Loading thumbnail…

Gist bf027117c9b0bdfb633414ab5bd84877

This example visualizes a network of file and folder connections from a Gist repository, using a force-directed graph layout to reveal clustering and link patterns. The code employs D3.js’s `d3.forceSimulation` with `forceLink` and `forceManyBody` to position nodes, while SVG paths and circles render the edges and vertices. A drop-down menu lets users filter the displayed links by type, and the visualization includes a legend and hover tooltips. The underlying data is hardcoded as a JavaScript array of node and link objects, reflecting the structure of a GitHub Gist.

MMistyBlunch

77% match

Loading thumbnail…

Gist 2e296c7e3eddb33e5718af20aba4b0cc

This visualization displays the commit history of the Node.js pull request #28359, credited to Anna and Ujjwal, as an interactive network diagram. It uses `d3.forceSimulation` to position nodes representing files and contributors, with links showing relationships between them. The graph is rendered on an HTML canvas via D3’s selection and drawing methods, and node styling reflects commit frequency or contribution roles. The data is embedded directly in the code, sourced from the GitHub pull request.

MMistyBlunch

77% match

Loading thumbnail…

Gist 27a5dee7d902d2ab3cf1281921ece401

This example visualizes a network of hyperlinks and page relationships extracted from a GitHub gist, mapping connections between referenced URLs and the gist itself. The code uses d3.forceSimulation to position nodes and d3.select plus SVG paths to draw curved links, with link opacity and node radius encoding connection strength and degree. The data is hardcoded as an array of source-target pairs, including links to resources like Cygwin and apt-cyg documentation. A drag handler enables interactive repositioning of nodes, while the simulation’s tick function updates the graph in real time.

MMistyBlunch

77% match