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Twitch-analytics-demo Alternatives
Similar projects and alternatives to twitch-analytics-demo
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gqlalchemy
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.
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SurveyJS
Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
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twitch-analytics-demo
Discontinued Visualization of Twitch analytics. [Moved to: https://github.com/memgraph/twitch-analytics-demo] (by katarinasupe)
twitch-analytics-demo reviews and mentions
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How to orchestrate your graph application with Docker Compose
When we’re building demo applications to showcase Memgraph, we always use Docker Compose. This allows us to fire up the application on any system, which is useful when showing a demo at conferences or meetups. Also, applications created with Docker Compose are much easier to deploy. One such demo is the Twitch analytics demo. In the docker-compose.yml file, we defined a couple of services:
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Building robust applications using GQLAlchemy
While building the whole web application, you save the necessary data to the database and load it whenever needed. Fetching the data can be error-prone since there may be that one minor typo that will bug you. In this tutorial, you'll learn how to build a small part of the Twitch analytics app with the help of GQLAlchemy, an object graph mapper (OGM) that makes building graph-based apps much easier.
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Twitch Streaming Graph Analysis - Part 3
To get started, read Part 1 and Part 2. If you want to skip that and hop right on the streaming part, you can find the backend and frontend implementations from the first two parts here.
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Twitch Streaming Graph Analysis - Part 2
If you still haven't, you can read already published Part 1 and then continue reading this part. Otherwise, use already implemented backend. In this part, we are going to create React application and visualize general statistics and some interesting insights from Twitch dataset. All implementation that will be mentioned in this part of the blog you can find in frontend folder of the project.
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Building Twitch Streaming Graph Analysis App Using Kafka, D3.js and React
Sure, here is the scraper: https://github.com/memgraph/twitch-analytics-demo/tree/main/... and let me know if you have any questions regarding the Twitch API, since you have to make your own account :)
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Twitch Streaming Graph Analysis - Part 1
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.
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A note from our sponsor - SurveyJS
surveyjs.io | 3 May 2024
Stats
memgraph/twitch-analytics-demo is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of twitch-analytics-demo is JavaScript.
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