Seeding Users with Photos

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB - 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.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  • stylegan2-pytorch

    Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

  • require 'open-uri' 50.times do user = Upload.create!( email: Faker::Internet.safe_email, password: '123123', # needs to be 6 digits, # add any additional attributes you have on your model ) file = URI.open('https://thispersondoesnotexist.com/image') user.photo.attach(io: file, filename: 'user.png', content_type: 'image/png') end

  • faker

    A library for generating fake data such as names, addresses, and phone numbers. (by faker-ruby)

  • I'm going to assume that we're using Devise for our User model. That means we'll most likely be logging in with an email. Let's use the gem Faker, but you have to be careful with this one. Some of their emails are real. The last thing you want to do is accidentally email all of those @gmail.com addresses you seeded into your database.

  • InfluxDB

    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.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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