cytoscape.js README

The project's README from github.com/cytoscape/cytoscape.js. As one markdown file: README.md.

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Created at the University of Toronto and published in Oxford Bioinformatics (2016, 2023).
Authored by: Max Franz, Christian Lopes, Dylan Fong, Mike Kucera, ..., Gary Bader

Cytoscape.js

Graph theory (network) library for visualisation and analysis : https://js.cytoscape.org

Description

Cytoscape.js is a fully featured graph theory library. Do you need to model and/or visualise relational data, like biological data or social networks? If so, Cytoscape.js is just what you need.

Cytoscape.js contains a graph theory model and an optional renderer to display interactive graphs. This library was designed to make it as easy as possible for programmers and scientists to use graph theory in their apps, whether it's for server-side analysis in a Node.js app or for a rich user interface.

You can get started with Cytoscape.js with one line:

var cy = cytoscape({ elements: myElements, container: myDiv });

Learn more about the features of Cytoscape.js by reading its documentation.

Example

The Tokyo railway stations network can be visualised with Cytoscape:

A live demo and source code are available for the Tokyo railway stations graph. More demos are available in the documentation.

Documentation

You can find the documentation and downloads on the project website.

Roadmap

Future versions of Cytoscape.js are planned in the milestones of the Github issue tracker. You can use the milestones to see what's currently planned for future releases.

Contributing to Cytoscape.js

Would you like to become a Cytoscape.js contributor? You can contribute in technical roles (e.g. features, testing) or non-technical roles (e.g. documentation, outreach), depending on your interests. Get in touch with us by posting a GitHub discussion.

For the mechanics of contributing a pull request, refer to CONTRIBUTING.md.

Feature releases are made monthly, while patch releases are made weekly. This allows for rapid releases of first- and third-party contributions.

Citation

To cite Cytoscape.js in a paper, please cite the Oxford Bioinformatics issue:

Cytoscape.js: a graph theory library for visualisation and analysis

Franz M, Lopes CT, Huck G, Dong Y, Sumer O, Bader GD

Bioinformatics (2016) 32 (2): 309-311 first published online September 28, 2015 doi:10.1093/bioinformatics/btv557 (PDF)

Build dependencies

Install node and npm. Run npm install before using npm run.

Build instructions

Run npm run <target> in the console. The main targets are:

Building:

Testing:

The default test scripts run directly against the source code. Tests can alternatively be run on a built bundle. The library can be built on node>=6, but the library's bundle can be tested on node>=0.10.

Release instructions

Background

Patch version

  1. Go to Actions > Release
  2. Go to the 'Run workflow' dropdown
  3. Select 'patch' in the 'Release type' dropdown
  4. Press the green 'Run workflow' button
  5. Close the milestone for the release

Feature version

  1. Go to Actions > Release
  2. Go to the 'Run workflow' dropdown
  3. Select 'feature' in the 'Release type' dropdown
  4. Press the green 'Run workflow' button
  5. Close the milestone for the release
  6. Make the release announcement on the blog

Notes on GitHub Actions UI

Recovering from a failed npm publish

If the 'npm publish' job fails after the release job succeeded (e.g. a transient npm registry error), open the failed run and use 'Re-run failed jobs'. Do not dispatch a new release: the version bump has already been committed and pushed, so a fresh dispatch would bump the version again and leave the previous version unpublished on npm.

Tests

Mocha tests are found in the test directory. The tests can be run in the browser or they can be run via Node.js (npm run test:js).

cytoscape.js (cytoscape/cytoscape.js)

graph-visualization
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What is this?Cytoscape.js is a graph theory (network) library for modeling, visualizing, and analyzing relational data such as biological networks or social networks, usable in the browser or in Node.js.
Is this a UI app or something I embed into my own code?It's a JavaScript library: a graph theory model plus an optional renderer that you embed into your own app, usable for server-side analysis in Node.js or for a rich interactive browser UI.
How do I add it to my project?You can get started with Cytoscape.js in one line of code after installing it via npm. To build the library from source, install Node and npm, then run npm install followed by npm run build.
Do I need Node and npm to build or use it?You only need Node and npm if you're building or testing the library from source; the published package itself has no listed runtime dependencies.
Can I use it for analysis without rendering anything visually?Yes, the renderer is optional, so you can use just the graph theory model for headless, server-side analysis in a Node.js app without any visual output.
What's the Tokyo railway demo about?It's a live demo bundled with the docs that visualizes the Tokyo subway stations as an interactive network graph using Cytoscape.js, with source code provided.
Is this connected to the Cytoscape desktop app used in bioinformatics research?Cytoscape.js shares its academic roots with the Cytoscape research project (created at the University of Toronto, published in Oxford Bioinformatics), but it's a separate standalone JavaScript library for web and Node.js use.
How often does the library get updated?Feature releases ship monthly and patch releases ship weekly, so bug fixes and contributions land quickly.
What are similar projects?sigma.js, graph, G6, networkx, uPlot, charts, rete, bokeh
Creator
cytoscape
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