audiophile-e2e-pipeline VS StravaDataPipline

Compare audiophile-e2e-pipeline vs StravaDataPipline and see what are their differences.

audiophile-e2e-pipeline

Pipeline that extracts data from Crinacle's Headphone and InEarMonitor databases and finalizes data for a Metabase Dashboard. (by ris-tlp)

StravaDataPipline

:arrows_counterclockwise: :running: EtLT of my own Strava data using the Strava API, MySQL, Python, S3, Redshift, and Airflow (by jackmleitch)
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audiophile-e2e-pipeline StravaDataPipline
3 1
170 28
- -
0.0 6.0
over 1 year ago almost 2 years ago
Python Python
- -
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

audiophile-e2e-pipeline

Posts with mentions or reviews of audiophile-e2e-pipeline. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-21.

StravaDataPipline

Posts with mentions or reviews of StravaDataPipline. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-24.

What are some alternatives?

When comparing audiophile-e2e-pipeline and StravaDataPipline you can also consider the following projects:

data-engineering-zoomcamp - Free Data Engineering course!

Udacity-Data-Engineering-Projects - Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.

ghcn-d - Data Pipeline from the Global Historical Climatology Network DataSet

airflow-docker - This is my Apache Airflow Local development setup on Windows 10 WSL2/Mac using docker-compose. It will also include some sample DAGs and workflows.

Reddit-API-Pipeline

versatile-data-kit - One framework to develop, deploy and operate data workflows with Python and SQL.

data_engineering_project_1 - My first attempt at a rough ETL pipeline; technologies include spark, GCS, prefect orchestration, and terraform

spotify-api - Pipeline that extracts data from the Spotify API to build a more detailed version of Spotify Wrapped

stream-iot - An end-to-end workflow for processing streaming data on Azure.

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.

streamify - A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!

pydantic - Data validation using Python type hints