Alternatives and similar repositories for StravaDataPipline

Users that are interested in StravaDataPipline are comparing it to the libraries listed below

• RyanEricLamb / data-engineering-bus-tracker
  Data engineering project using UK Bus Open Data Service (BODS) to calculate late buses in real-time for any selected region in England. P…
  ☆30Updated 2 years ago
• danielbeach / DataEngineeringProjects
  Some example projects for Data Engineers to build, end-to-end.
  ☆34Updated last year
• digitalghost-dev / premier-league
  A Data Engineering project. Repository for backend infrastructure and Streamlit app files for a Premier League Dashboard.
  ☆247Updated last year
• jackgisby / tfl-bikes-data-pipeline
  Processing TfL data for bike usage with Google Cloud Platform.
  ☆45Updated 3 years ago
• josephmachado / python_essentials_for_data_engineers
  Code for blog at https://www.startdataengineering.com/post/python-for-de/
  ☆87Updated last year
• paradime-sandbox / social-media-data-modeling-challenge
  ☆31Updated last year
• calbergs / spotify-api
  Pipeline that extracts data from the Spotify API to build a more detailed version of Spotify Wrapped
  ☆36Updated last year
• nenalukic / free-datasets-APIs
  ☆145Updated last year
• josephmachado / simple_dbt_project
  Code for dbt tutorial
  ☆161Updated last month
• ANelson82 / de_zoomcamp_2022_earthquake_capstone
  ☆18Updated 2 years ago
• datadisciple / strava-datastack
  A "modern" Strava data pipeline fueled by dlt, duckdb, dbt, and evidence.dev
  ☆34Updated 5 months ago
• cnstlungu / portable-data-stack-sqlmesh
  A portable Datamart and Business Intelligence suite built with Docker, sqlmesh + dbtcore, DuckDB and Superset
  ☆53Updated 11 months ago
• dlt-hub / data_engineering_best_practices
  ☆45Updated last year
• bgarcevic / danish-democracy-data
  ☆38Updated 7 months ago
• josephmachado / analytical_dp_with_sql
  Code for my "Efficient Data Processing in SQL" book.
  ☆59Updated last year
• EcZachly / personal-health-analytics
  This repo is meant to make it really easy to analyze the interplays between health and social media use.
  ☆46Updated 3 years ago
• jackmleitch / StravaKudos
  Predicting Strava Kudos on my own activities using the given activity's attributes.
  ☆14Updated 3 years ago
• dlt-hub / dlthub-education
  In this repository we store all materials for dlt workshops, courses, etc.
  ☆229Updated last month
• mehd-io / pypi-duck-flow
  end-to-end data engineering project to get insights from PyPi using python, duckdb, MotherDuck & Evidence
  ☆225Updated 3 months ago
• josephmachado / adv_data_transformation_in_sql
  Code for "Advanced data transformations in SQL" free live workshop
  ☆84Updated 5 months ago
• josephmachado / efficient_data_processing_spark
  Code for "Efficient Data Processing in Spark" Course
  ☆340Updated 4 months ago
• Snowflake-Labs / snowpark-python-demos
  This repository provides various demos/examples of using Snowpark for Python.
  ☆284Updated last year
• josephmachado / data_engineering_best_practices
  Sample project to demonstrate data engineering best practices
  ☆198Updated last year
• TJaniF / airflow-elt-blueprint
  A self-contained, ready to run Airflow ELT project. Can be run locally or within codespaces.
  ☆78Updated 2 years ago
• josephmachado / docker_for_data_engineers
  Code for blog at: https://www.startdataengineering.com/post/docker-for-de/
  ☆40Updated last year
• josephmachado / data_engineering_project_template
  A template repository to create a data project with IAC, CI/CD, Data migrations, & testing
  ☆279Updated last year
• danielbeach / dataEngineeringTemplate
  Template for Data Engineering and Data Pipeline projects
  ☆115Updated 2 years ago
• Data-Engineer-Camp / dbt-dimensional-modelling
  Step-by-step tutorial on building a Kimball dimensional model with dbt
  ☆150Updated last year
• l-mds / local-data-stack
  Slow & local data allows you to move fast and deliver business value for the 99.9% of the data challenges.
  ☆301Updated last week
• EcZachly / little-book-of-pipelines
  This repository goes over how to handle massive variety in data engineering
  ☆303Updated 2 years ago