{"repo":"data-engineering-community/data-engineering-salaries","free":true,"listed":false,"github":"https://github.com/data-engineering-community/data-engineering-salaries","clone":"git clone https://github.com/data-engineering-community/data-engineering-salaries.git","description":"A Streamlit app to explore data engineering salary data.","language":"Python","stars":38,"topics":["data","data-engineering","data-visualization","database","dataset","salaries"],"license":"MIT","category":"data-pipelines","readme_excerpt":"Data Engineering Salaries Each quarter we run a salary survey in our community to help increase transparency around salary and compensation for Data Engineering. This application is for exploring and analyzing the salary data. Notes: - This is a community project and it's early in development - contributions are welcome! - Data from historical surveys is not yet available but we do plan to backfill it. - Streamlit Docs - Raw data Requirements - Docker Setup - Download or clone the repository. - Rename the example.secrets.toml (inside .streamlit folder) file to secrets.toml - Open the Raw Data sheet, copy the full URL and paste it to the secrets.toml public gsheets url variable. Build Run Run the streamlit container in detached mode Start/Stop docker container In your browser, Go to localhost:8501","default_branch":null,"files":null,"tree":[],"storefront":"/r/data-engineering-community","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/data-engineering-community/data-engineering-salaries/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}