Cytoscape.js VS nivo

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/

Another alternative - I haven't tried this but bookmarked that one:

https://nivo.rocks (https://github.com/plouc/nivo)

Nivo is a data visualization library built on top of D3.js and React. It offers a range of well-designed, customizable charts with great animations, making it suitable for creating visually impressive data visualizations.

When it comes to charting, Nivo makes you immediately superhero.

Since no one mentioned it, checkout nivo

Today this works thanks to nivo and Cloudinary, but that journey included a lot of trials and testing for the perfect solution.

Nivo is built on D3 and provides a variety of templates for data visualization and presentation. It is one of the few libraries that provide server-side rendering ability and fully declarative charts.

Then, we can think about the implementation. We use Nivo for most data visualizations, but we do have a few that either use straight HTML/CSS, or use D3 directly.

I always use https://nivo.rocks/ you can customize it a ton. Works great.

I use nivo.rocks to visualize the genres and make the list more interactive. Please read my comment on how I implemented it.