This project was created by Aakash Bhardwaj.

In the project directory, you can run:

Installs the necessary packages.

Runs the app in the development mode.
Open http://localhost:3000 to view it in your browser.

The page will reload when you make changes.
You may also see any lint errors in the console.

Pros:

Highly customizable and versatile for complex visualizations. Supports a wide range of graph types and interactions. Strong community and documentation. Can be integrated with React using wrappers like react-d3-library or react-faux-dom. Cons:

Steeper learning curve due to its flexibility and complexity. Requires more effort for handling interactions compared to some dedicated graph libraries. Might need additional work for responsiveness and mobile-friendly designs.

Reasoning: D3.js provides a lot of flexibility for creating custom graph visualizations. It can cover all the scenarios you've mentioned, but it might require more development effort and time due to its low-level nature and complex learning curve.

Pros:

Designed specifically for graph visualization, making it easier to work with for these scenarios. Good performance even for large graphs. Supports various layouts and styles. Has built-in support for interactions like collapsing, expanding nodes, filtering, and zooming. Can be integrated with React using the cytoscape-react wrapper. Cons:

Customization might be limited compared to something like D3.js, but it's often sufficient for many use-cases. Learning the API and integrating it with React might still require some effort.

Reasoning: Cytoscape.js is a more specialized library for graph visualization and might offer a more out-of-the-box experience compared to D3.js for your specific use-cases.

Pros:

Simplified API for graph visualization. Good performance for medium-sized graphs. Supports various layouts, interactions, and customization options. Provides network events for handling interactions. Has a React wrapper called react-vis-network. Cons:

May not handle very large graphs as efficiently as some other libraries. Customization might be limited compared to more versatile libraries.

Reasoning: Vis.js could be a good balance between ease of use and functionality, especially if your graphs are not extremely large and complex.