dbt-spotify-analytics VS spotify-data-reader

Compare dbt-spotify-analytics vs spotify-data-reader and see what are their differences.

dbt-spotify-analytics

Containerized end-to-end analytics of Spotify data using Python, dbt, Postgres, and Metabase (by ftupas)
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dbt-spotify-analytics spotify-data-reader
1 20
120 4
- -
0.0 0.0
almost 2 years ago over 1 year ago
Python Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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dbt-spotify-analytics

Posts with mentions or reviews of dbt-spotify-analytics. We have used some of these posts to build our list of alternatives and similar projects.

spotify-data-reader

Posts with mentions or reviews of spotify-data-reader. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-12.

What are some alternatives?

When comparing dbt-spotify-analytics and spotify-data-reader you can also consider the following projects:

frappe - Low code web framework for real world applications, in Python and Javascript

SpotifyRewind - Python scripts to analyze raw Spotify user account data

wal-e - Continuous Archiving for Postgres

spotify-downloader - Download your Spotify playlists and songs along with album art and metadata (from YouTube if a match is found).

Skytrax-Data-Warehouse - A full data warehouse infrastructure with ETL pipelines running inside docker on Apache Airflow for data orchestration, AWS Redshift for cloud data warehouse and Metabase to serve the needs of data visualizations such as analytical dashboards.

airflow-dbt - Apache Airflow integration for dbt

trino_data_mesh - Proof of concept on how to gain insights with Trino across different databases from a distributed data mesh

soda-sql - Data profiling, testing, and monitoring for SQL accessible data.

PostHog - 🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.