Twitch Streaming Graph Analysis - Part 1

• twitch-analytics-demo

  6 28 0.0 JavaScript

  Visualization of Twitch analytics.

  

The data was collected using Twitch API. The data needed to be rearranged so that it could fit the idea of graph databases. Here you can find the script that creates .csv files which we'll load into Memgraph. The files which we'll use are: streamers.csv, teams.csv, vips.csv, moderators.csv and chatters.csv. In streamers.csv we can find important information about languages the user speaks and games the user streams. Those two will actually be nodes in our graph database.

• pymgclient

  2 42 3.0 C

  Python Memgraph Client

  

As expected, Flask is there, so it will be installed in our container. Next, we have pymgclient, Memgraph database adapter for Python language on top of which gqlalchemy is built. We will connect to the database with gqlalchemy and it will assist us in writing and running queries on Memgraph.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• gqlalchemy

  10 206 7.1 Python

  GQLAlchemy is a library developed with the purpose of assisting in writing and running queries on Memgraph. GQLAlchemy supports high-level connection to Memgraph as well as modular query builder.

  

As expected, Flask is there, so it will be installed in our container. Next, we have pymgclient, Memgraph database adapter for Python language on top of which gqlalchemy is built. We will connect to the database with gqlalchemy and it will assist us in writing and running queries on Memgraph.

Suggest a related project