orb VS hacker-news-analyzer

I needed an algorithm to calculate the users’ scores. PageRank came to my mind and it worked great. Memgraph has PageRank already implemented, so I could easily use it. Next, I had to make the backend and the frontend part of the application. On the backend, I used Fast API and on the frontend, I used Material UI with the new graph visualization library Orb.

Orb Events is an implementation of the in-browser EventEmitter that offers several events (e.g. node/edge clicked, render started/ended, node dragged, etc.). You can subscribe to those events and do any action on top of them. A full list of events that the Orb emits can be found here.

Memgraph Lab is a visual user interface that can also render graphs. It uses an open-source visualization library called Orb, which allows the implementation of visualizations in the frontend code. The visualizations are adaptable and customizable using a graph-style editor defined by the GSS language.

Yes, it is. You can check out the repo at https://github.com/memgraph/orb

To get data that will confirm or rebuff my predictions, I decided to connect to Hacker News API, made with Firebase, collect new data in real-time, and use Memgraph to save top stories and run PangeRank algorithm to find story gems. Once I could get the data, I wanted to live stream all the top stories because I’ve never worked with streams, so I thought it would be fun. The API endpoint provides only an array of IDs of the 500 top stories, but I needed only the first 35. I wanted to showcase users who wrote those first 35 stories and all the other stories those users wrote. I had to get every single one of those stories by their IDs. Fortunately, the comments on the story were also bundled up in that data, so I didn’t have to send more GET requests. Since I wanted my application to be real-time, I decided to use Kafka. So my Firebase service was a producer for Kafka.