fake-star-detector | simple Dagster project to analyze the number of fake GitHub

For this tutorial, we assume you have Git installed. Installation details can be found here: https://github.com/git-guides/install-git. For running the simpler model, you will also need a GitHub Personal Access token to access the GitHub API. This can be created in GitHub here: https://github.com/settings/tokens (after logging in to GitHub). Keep the new access token handy as we will be needing it shortly. Note: we'll need gist scope because we're going to create a Gist to be the final report in the end. In order to run the complex model which uses BigQuery public archive data, you will need to have a BigQuery account to run the dbt models. You can sign up for a free account here. Check out Create a Google Service Account to learn how to create a service account and download the JSON key file. This also requires BigQuery API enabled in your service account.
You will need to pull a copy of this repository onto your local machine, go into the top level of the cloned repository and run the install command:.
This model requires GitHub Access Token to access the GitHub API. Refer to the instructions above for how to obtain your own token.
This model requires a BigQuery account and Google Search Account with BigQuery API enabled to access the source data. Refer to the above for instructions.