Cytoscape.js VS three.js

This could be probably done with https://js.cytoscape.org/ as well, so maybe look into that.

Maybe look into Cytoscape.js... There's a react wrapper component: https://github.com/plotly/react-cytoscapejs

The UI is almost entirely based on Cytoscape JS, which is one of the most use graph libraries out there (and for good reason, I've found it very good). The UI is similar to some other JavaScript libraries that deal with visualisation of network models, so it ends up being similar to most examples of Neo4j dashboards, D3, etc.

Relationship graphs are created using Cytoscape.js

I am playing with an app built around cytoscape.js for visualizing graphs. That means adding/removing nodes, responding to node events and so on.

Data source: DB of tutorials and tags. I created the skills map of collective knowledge shows a number of tutorials uploaded by users. It is illustrated the topics of user-generated content. Size of stars is a number of tutorials on the topic. The bigger the star — the more popular skill. The more connection a skill has — the more essential and versatile it is. After the login, this map becomes personalized for every user in accordance with the uploaded tutorials. All skills are combined into 6 specializations (science, sign, people, tech, art, business). Some topics are repeated in several specializations, for instance, "soft skills." Tool: Cytograph.js Layout: Cise layout Interactive version is here https://unschooler.me/skills

> Yeah, I know there's D3.js but that involved way more knowledge and learning than I was interested in.

Same, d3 looked very powerful but had a steep learning curve. I was looking for something simple to generate process trees in real time and ended up using cytoscape js [0], helped me have a working POC in an hour, highly recommended.

[0] https://js.cytoscape.org/

Well, I'll write the post on how it was created. In short, the visualization itself is mostly a https://js.cytoscape.org/ with a few custom CSS options. The hardest thing was to figure out how to prepare the data.We had at the row data:

I’m a huge fan of Cytoscape.js. Not sure if it would be a competitor to Gephi as it’s just a JavaScript library but it’s very useful for things one might use D3 for. Not too not does it have the ability to draw, style, and animate the networks it has all the graph algorithms to do the analysis and traversal.

https://js.cytoscape.org/

Regarding the optimization of the effect, I found an issue on the three.js GitHub repository: https://github.com/mrdoob/three.js/issues/14104 The alpha channel issue seems to be a difficult problem, which has been present since 2018. At the end of the discussion, a solution proposed by a contributor is not to modify the UnrealBloomPass but to blend the source texture and target texture in the shader.

Here's how we used Three.js to place and find affirmations in the sky.

Three.js is dedicated to generating 3D visuals, offering a powerful suite of features and tools. It is built atop WebGL and optimizes GPU usage for rapid rendering, ensuring smooth performance across devices, including those with limited resources. Three.js's versatility allows for the creation of a vast spectrum of 3D graphics and animations, ranging from simple shapes to intricate models.

7. three.js

Most of frontend libraries are made with Vanilla JS. An example of library that you might frequently use is "Chart.js". But React is not compatible with Chart.js so here it comes "React-chartjs-2" A wrapper library to work with Chart.js in React ecosystem. Oh you want to use "three.js" for some cool 3D? you will need "React-three/fiber". In my case, I need to implement "telegram-web-app", not so fast, I have to create my own wrapper to be able to use it.

For one of my 100-Day Challenges, I chose to dive into Three.js, a JavaScript 3D library. It's easy to start learning, and it becomes difficult to master with the inclusion of shaders.

Nonetheless, it offers nearly infinite possibilities. You can code and create anything, from a mobile app with React Native to a desktop application with Electron.js. Furthermore, JavaScript provides excellent frameworks and libraries that can be applied in various approaches, such as React, Three, Vue, Meteor, and Astro.